{"task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","constraints":{"max_risk":"medium","needs_install_command":true,"min_stars":0},"feedback":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","outcome_api":"https://www.openagentskill.com/api/agent/outcome","method":"POST","selected_skill_slug":"666ghj-bettafish","selected_skill_name":"BettaFish","alternative_skill_slugs":["argoproj-argo-workflows","ikatyang-emoji-cheat-sheet","anthropic-earnings-analysis","bytedance-deer-flow"],"expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"report_after":["After trying the selected skill, report whether it solved the task.","Mark blocked_by_risk when audit, license, credentials, shell, or network risk prevents safe use.","Mark setup_required when the skill looks relevant but needs missing keys, data, or manual configuration.","Mark not_relevant when the selected skill does not match the task after inspection.","Include output_quality, error_type, workspace, human_review_required, evidence_url, and time_to_useful_ms when available."],"json_example":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_b2dea33c-8175-41ba-bb49-71975efba69a\" --skill \"666ghj-bettafish\" --task \"Use excel-multi-sheet-threshold-analysis for an agent workflow\" --agent \"codex\" --outcome success"},"agent_feedback_loop":{"version":"openagentskill-agent-feedback-loop-v3","status":"active","purpose":"Report the result of one resolved skill run so Trust Score v5 and future Resolve rankings learn from real use.","event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","selected_skill_slug":"666ghj-bettafish","selected_skill_name":"BettaFish","endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","idempotency":"Retrying the same event_id updates the previous outcome.","dry_run":{"supported":true,"instruction":"Set dry_run=true to validate a payload before wiring a new agent integration."},"expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"error_types":["install_failed","runtime_error","not_relevant","permission_blocked","risk_blocked","setup_required","low_quality_output","missing_dependency","timeout","other"],"workspaces":["sandbox","local","ci","production","unknown"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url"],"payload_template":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_b2dea33c-8175-41ba-bb49-71975efba69a\" --skill \"666ghj-bettafish\" --task \"Use excel-multi-sheet-threshold-analysis for an agent workflow\" --agent \"codex\" --outcome success","ranking_inputs_updated":["Trust Score v5 outcome confidence","Resolve ranking outcome evidence","Skill detail outcome signal block","Outcome leaderboard"]},"install_receipt":{"version":"openagentskill-install-receipt-v2","receipt_id":"receipt_b2dea33c-8175-41ba-bb49-71975efba69a","resolve_event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","generated_at":"2026-09-08T12:19:02.869Z","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","constraints":{"max_risk":"medium","needs_install_command":true,"min_stars":0},"urls":{"web":"https://www.openagentskill.com/resolve?task=Use+excel-multi-sheet-threshold-analysis+for+an+agent+workflow&agent=codex&max_risk=medium","json":"https://www.openagentskill.com/api/agent/receipt?task=Use+excel-multi-sheet-threshold-analysis+for+an+agent+workflow&agent=codex&max_risk=medium","text":"https://www.openagentskill.com/api/agent/receipt?task=Use+excel-multi-sheet-threshold-analysis+for+an+agent+workflow&agent=codex&max_risk=medium&format=text","resolve_json":"https://www.openagentskill.com/api/agent/resolve?task=Use+excel-multi-sheet-threshold-analysis+for+an+agent+workflow&agent=codex&max_risk=medium","resolve_text":"https://www.openagentskill.com/api/agent/resolve?task=Use+excel-multi-sheet-threshold-analysis+for+an+agent+workflow&agent=codex&max_risk=medium&format=text"},"selected_skill":{"slug":"666ghj-bettafish","name":"BettaFish","description":"微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。","category":"data-analysis","url":"https://www.openagentskill.com/skills/666ghj-bettafish","api_url":"https://www.openagentskill.com/api/agent/skills/666ghj-bettafish","audit_url":"https://www.openagentskill.com/skills/666ghj-bettafish/audit","eval_url":"https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","install_api_url":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install","repository":"https://github.com/666ghj/BettaFish","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"install":{"command":"npx skills add 666ghj/BettaFish","target":"codex","label":"Codex install prompt","kind":"agent-prompt","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","ready":true,"policy":"review","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"blocked":false},"decision":{"recommendation":"Review the audit page, then allow agent install in a sandboxed workflow.","why_selected":["Matches task terms: multi, analysis","Strong GitHub adoption: 41,932 stars","Quality score 76/100","Install handoff is available","Repository freshness signal is available","Primary pick for Research agents","82/100 Trust Score","0/100 Agent Proven Score"],"suited_tasks":["Research agents workflows","general agent builders","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Load tabular data","Calculate trends"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"trust":{"score":82,"label":"Review then install","version":"trust-score-v5","base_score":88,"outcome_confidence":0,"outcome_signal":"No agent outcome data yet","outcome_total":0,"outcome_success_rate":null,"decision":{"install_policy":"agent_install_candidate","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Ask for approval or run a sandbox-only trial before installing.","reasoning":["82/100 Trust Score v5","88/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"]},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]}},"agent_proven":{"score":0,"label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"installAttempts":0,"installSuccessRate":null,"riskBlocked":0,"setupRequired":0,"avgOutputQuality":null,"productionOutcomes":0}},"risk":{"level":"Safe to try","safety_tier":"Reviewed","safety_score":79,"audit_score":91,"notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Safe-to-try audit","79/100 agent safety score"],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"minimum_review_before_use":["Trust: 88/100 Production candidate","Audit: 91/100 Safe to try","Safety: 79/100 Review before install","Review repository, license, install command, and permission surface before production use."]},"alternatives":[{"slug":"argoproj-argo-workflows","name":"Argo Workflows","url":"https://www.openagentskill.com/skills/argoproj-argo-workflows","audit_url":"https://www.openagentskill.com/skills/argoproj-argo-workflows/audit","install_command":"npx skills add argoproj/argo-workflows","trust_score":90,"audit_score":93,"safety_score":81,"reason":"Matches task terms: workflow","policy":"review"},{"slug":"ikatyang-emoji-cheat-sheet","name":"Emoji Cheat Sheet","url":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet","audit_url":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet/audit","install_command":"npx skills add ikatyang/emoji-cheat-sheet","trust_score":88,"audit_score":91,"safety_score":75,"reason":"Matches task terms: sheet","policy":"review"},{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings Analysis","url":"https://www.openagentskill.com/skills/anthropic-earnings-analysis","audit_url":"https://www.openagentskill.com/skills/anthropic-earnings-analysis/audit","install_command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","trust_score":82,"audit_score":91,"safety_score":79,"reason":"Matches task terms: analysis","policy":"review"},{"slug":"bytedance-deer-flow","name":"Deer Flow","url":"https://www.openagentskill.com/skills/bytedance-deer-flow","audit_url":"https://www.openagentskill.com/skills/bytedance-deer-flow/audit","install_command":"npx skills add bytedance/deer-flow","trust_score":90,"audit_score":93,"safety_score":81,"reason":"Matches task terms: multi, workflow","policy":"review"}],"outcome_feedback":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"dry_run_payload":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"},"dry_run":true},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_b2dea33c-8175-41ba-bb49-71975efba69a\" --skill \"666ghj-bettafish\" --task \"Use excel-multi-sheet-threshold-analysis for an agent workflow\" --agent \"codex\" --outcome success","instruction":"After one narrow sandbox run, report success, failed, not_relevant, blocked_by_risk, or setup_required so Trust Score v5 and future agent rankings learn from real usage."},"next_steps":["Read the audit page: https://www.openagentskill.com/skills/666ghj-bettafish/audit","Fetch the pre-install eval: https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","Do not auto-install yet. Ask for human review before running: npx skills add 666ghj/BettaFish","Run one narrow task with no production secrets or irreversible side effects.","Report the result to https://www.openagentskill.com/api/agent/outcome using event_id resolve_b2dea33c-8175-41ba-bb49-71975efba69a."],"stable_fields":["receipt_id","selected_skill","install","trust","risk","alternatives","outcome_feedback","next_steps"],"freshness_policy":"Re-resolve before production use or after 24 hours to refresh trust, audit, and outcome signals."},"recommendation":{"task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","best_skill":{"slug":"666ghj-bettafish","name":"BettaFish","description":"微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。","category":"data-analysis","url":"https://www.openagentskill.com/skills/666ghj-bettafish","api_url":"https://www.openagentskill.com/api/agent/skills/666ghj-bettafish","audit_url":"https://www.openagentskill.com/skills/666ghj-bettafish/audit","eval_url":"https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","repository":"https://github.com/666ghj/BettaFish","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"install":{"command":"npx skills add 666ghj/BettaFish","target":"codex","label":"Codex install prompt","kind":"agent-prompt","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","install_api":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install","ready":true,"review_required":true,"auto_install_allowed":false,"policy":"review"},"why_recommended":["Matches task terms: multi, analysis","Strong GitHub adoption: 41,932 stars","Quality score 76/100","Install handoff is available","Repository freshness signal is available","Primary pick for Research agents","82/100 OpenAgentSkill Trust Score v5","91/100 audit score"],"trust_score_v5":{"score":82,"base_score":88,"outcome_confidence":0,"tier":"strong","label":"Review then install","version":"trust-score-v5","install_policy":"agent_install_candidate","decision":{"install_policy":"agent_install_candidate","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Ask for approval or run a sandbox-only trial before installing.","reasoning":["82/100 Trust Score v5","88/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"]},"evidence":{"stars":"42K GitHub stars","repoActivity":"42K stars, 7.6K forks","lastPushed":"2mo since push","license":"GPL-2.0","repository":"https://github.com/666ghj/BettaFish","install":"npx skills add 666ghj/BettaFish","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"agent_install_candidate"},"agent_compatibility":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"risk":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomes":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandboxRequired":true,"policy":"agent_install_candidate","reason":"Ask for approval or run a sandbox-only trial before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["data-analysis","analytics","data","agent-framework","deep-research","deep-search"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add 666ghj/BettaFish","trust_score":82,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"best_for":["data-analysis","analytics","data","agent-framework","deep-research","deep-search"],"do_not_use_for":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"known_risks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":88,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability."}}},"trust_score_v4":{"score":88,"tier":"production","label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"42K GitHub stars","repoActivity":"42K stars, 7.6K forks","lastPushed":"2mo since push","license":"GPL-2.0","repository":"https://github.com/666ghj/BettaFish","install":"npx skills add 666ghj/BettaFish","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"agent_compatibility":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"risk":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomes":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandboxRequired":true,"policy":"agent_install_candidate","reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["data-analysis","analytics","data","agent-framework","deep-research","deep-search"],"do_not_use_for":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"known_risks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"trust_score_v3":{"score":88,"tier":"production","label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"42K GitHub stars","repoActivity":"42K stars, 7.6K forks","lastPushed":"2mo since push","license":"GPL-2.0","repository":"https://github.com/666ghj/BettaFish","install":"npx skills add 666ghj/BettaFish","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"agent_compatibility":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"risk":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},"trust_score_v2":{"score":88,"tier":"production","label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"42K GitHub stars","repoActivity":"42K stars, 7.6K forks","lastPushed":"2mo since push","license":"GPL-2.0","repository":"https://github.com/666ghj/BettaFish","install":"npx skills add 666ghj/BettaFish","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"agent_compatibility":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"risk":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},"risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"79/100 Review before install","trust":"88/100 Production candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","79/100 agent safety score"]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"666ghj-bettafish","name":"BettaFish","description":"微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。","category":"data-analysis","url":"https://www.openagentskill.com/skills/666ghj-bettafish","repository":"https://github.com/666ghj/BettaFish","github_repo":"666ghj/BettaFish"},"suited_tasks":["Research agents workflows","general agent builders","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Load tabular data","Calculate trends"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add 666ghj/BettaFish","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add 666ghj-bettafish"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"BettaFish\" as a Claude Code skill from https://github.com/666ghj/BettaFish. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"BettaFish\" from https://github.com/666ghj/BettaFish into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"ikatyang-emoji-cheat-sheet","name":"Emoji Cheat Sheet","url":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet","install_command":"npx skills add ikatyang/emoji-cheat-sheet","trust_score":88,"audit_score":91,"safety_score":75,"why_consider":"Matches task terms: sheet","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"75/100 Review before install","trust":"88/100 Production candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings Analysis","url":"https://www.openagentskill.com/skills/anthropic-earnings-analysis","install_command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","trust_score":82,"audit_score":91,"safety_score":79,"why_consider":"Matches task terms: analysis","risk":{"level":"Needs review","safety_tier":"Reviewed with permission notes","safety":"79/100 Review before install","trust":"82/100 Strong shortlist","notes":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]}},{"slug":"bytedance-deer-flow","name":"Deer Flow","url":"https://www.openagentskill.com/skills/bytedance-deer-flow","install_command":"npx skills add bytedance/deer-flow","trust_score":90,"audit_score":93,"safety_score":81,"why_consider":"Matches task terms: multi, workflow","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"81/100 Review before install","trust":"90/100 Production candidate","notes":["Documentation summary is thin"]}}],"decision_packet":{"version":"openagentskill-agent-decision-packet-v1","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","selected_skill":{"slug":"666ghj-bettafish","name":"BettaFish","url":"https://www.openagentskill.com/skills/666ghj-bettafish","api_url":"https://www.openagentskill.com/api/agent/skills/666ghj-bettafish","audit_url":"https://www.openagentskill.com/skills/666ghj-bettafish/audit","repository":"https://github.com/666ghj/BettaFish","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"suited_tasks":["Research agents workflows","general agent builders","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Load tabular data","Calculate trends"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add 666ghj/BettaFish","target":"codex","label":"Codex install prompt","policy":"review","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true},"trust":{"score":82,"label":"Review then install","version":"trust-score-v5","base_score":88,"outcome_confidence":0,"decision":{"install_policy":"agent_install_candidate","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Ask for approval or run a sandbox-only trial before installing.","reasoning":["82/100 Trust Score v5","88/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"status":"pass","detail":"42K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"status":"pass","detail":"42K stars, 7.6K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"status":"pass","detail":"2mo since push"},{"id":"license","label":"License clarity","score":86,"status":"pass","detail":"GPL-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"status":"pass","detail":"npx skills add 666ghj/BettaFish"},{"id":"install_safety","label":"Install command safety","score":92,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"status":"pass","detail":"https://github.com/666ghj/BettaFish"},{"id":"review_status","label":"Review status","score":88,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"status":"info","detail":"No agent outcome data yet"}]},"risk":{"level":"Safe to try","audit_label":"Safe to try","safety":"79/100 Review before install","trust":"88/100 Production candidate","safety_tier":"Reviewed","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"minimum_review_before_use":["Trust: 88/100 Production candidate","Audit: 91/100 Safe to try","Safety: 79/100 Review before install","Review repository, license, install command, and permission surface before production use."]},"alternatives":[{"slug":"argoproj-argo-workflows","name":"Argo Workflows","url":"https://www.openagentskill.com/skills/argoproj-argo-workflows","install_command":"npx skills add argoproj/argo-workflows","trust_score":90,"audit_score":93,"safety_score":81,"why_consider":"Matches task terms: workflow","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"81/100 Review before install","trust":"90/100 Production candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"ikatyang-emoji-cheat-sheet","name":"Emoji Cheat Sheet","url":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet","install_command":"npx skills add ikatyang/emoji-cheat-sheet","trust_score":88,"audit_score":91,"safety_score":75,"why_consider":"Matches task terms: sheet","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"75/100 Review before install","trust":"88/100 Production candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings Analysis","url":"https://www.openagentskill.com/skills/anthropic-earnings-analysis","install_command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","trust_score":82,"audit_score":91,"safety_score":79,"why_consider":"Matches task terms: analysis","risk":{"level":"Needs review","safety_tier":"Reviewed with permission notes","safety":"79/100 Review before install","trust":"82/100 Strong shortlist","notes":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]}},{"slug":"bytedance-deer-flow","name":"Deer Flow","url":"https://www.openagentskill.com/skills/bytedance-deer-flow","install_command":"npx skills add bytedance/deer-flow","trust_score":90,"audit_score":93,"safety_score":81,"why_consider":"Matches task terms: multi, workflow","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"81/100 Review before install","trust":"90/100 Production candidate","notes":["Documentation summary is thin"]}}],"outcome_feedback":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_b2dea33c-8175-41ba-bb49-71975efba69a\" --skill \"666ghj-bettafish\" --task \"Use excel-multi-sheet-threshold-analysis for an agent workflow\" --agent \"codex\" --outcome success"},"next_agent_action":"Ask for human approval or choose a safer alternative before installing.","stable_fields":["decision_packet.selected_skill","decision_packet.install","decision_packet.risk.do_not_use_when","decision_packet.alternatives","decision_packet.outcome_feedback","decision_packet.trust.decision"]},"agent_instruction":"Use BettaFish for: Use excel-multi-sheet-threshold-analysis for an agent workflow\nReview audit: https://www.openagentskill.com/skills/666ghj-bettafish/audit\nAsk for human approval before installing: npx skills add 666ghj/BettaFish\nIf the audit or policy warnings are unacceptable, choose one of the alternatives."},"recommendation_lanes":{"best_match":{"rank":1,"match_score":42,"raw_match_score":236.9,"semantic_relevance":42,"registry_source":{"kind":"live_registry","live":true,"auto_install_eligible":true,"warning":null},"skill":{"slug":"666ghj-bettafish","name":"BettaFish","description":"微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。","category":"data-analysis","github_stars":41932,"created_at":"2026-06-05T23:01:29.495802+00:00","updated_at":"2026-07-21T06:13:29+00:00","repository":"https://github.com/666ghj/BettaFish","github_repo":"666ghj/BettaFish","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"recommendation_reasons":["Matches task terms: multi, analysis","Strong GitHub adoption: 41,932 stars","Quality score 76/100","Install handoff is available","Repository freshness signal is available"],"supply_profile":{"track":{"slug":"data","label":"Data, BI, and 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completeness: Public metadata needs stronger README/SKILL.md context"]},"coverageTags":["Data","Data analysis","data-analysis","analytics","agent-framework","deep-research","deep-search","llms"]},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"42K","tone":"positive"},{"label":"Freshness","value":"2mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"GPL-2.0","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v4","score":88,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"42K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"42K stars, 7.6K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"2mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"GPL-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add 666ghj/BettaFish"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/666ghj/BettaFish"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"42K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"42K stars, 7.6K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2mo since push"},{"status":"pass","label":"License clarity","detail":"GPL-2.0"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add 666ghj/BettaFish"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/666ghj/BettaFish"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"evidence":{"stars":"42K GitHub stars","repoActivity":"42K stars, 7.6K forks","lastPushed":"2mo since push","license":"GPL-2.0","repository":"https://github.com/666ghj/BettaFish","install":"npx skills add 666ghj/BettaFish","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add 666ghj/BettaFish","policy":"agent_install_candidate","label":"Agent install candidate","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","2mo since push"]},"agentCompatibility":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":true,"sandboxRequired":true,"policy":"agent_install_candidate","reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"bestFor":["data-analysis","analytics","data","agent-framework","deep-research","deep-search"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"knownRisks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"trust_v5":{"version":"trust-score-v5","score":82,"base_score":88,"outcome_confidence":0,"tier":"strong","label":"Review then install","summary":"Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.","recommendedAction":"Use as the primary candidate after human or sandbox review.","decision":{"install_policy":"agent_install_candidate","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Ask for approval or run a sandbox-only trial before installing.","reasoning":["82/100 Trust Score v5","88/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"42K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"42K stars, 7.6K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"2mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"GPL-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add 666ghj/BettaFish"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/666ghj/BettaFish"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"42K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"42K stars, 7.6K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2mo since push"},{"status":"pass","label":"License clarity","detail":"GPL-2.0"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add 666ghj/BettaFish"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/666ghj/BettaFish"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"42K GitHub stars","repoActivity":"42K stars, 7.6K forks","lastPushed":"2mo since push","license":"GPL-2.0","repository":"https://github.com/666ghj/BettaFish","install":"npx skills add 666ghj/BettaFish","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"agent_install_candidate"},"installReadiness":{"ready":true,"command":"npx skills add 666ghj/BettaFish","policy":"agent_install_candidate","label":"Agent install candidate","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","2mo since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"agent_install_candidate","reason":"Ask for approval or run a sandbox-only trial before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["data-analysis","analytics","data","agent-framework","deep-research","deep-search"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add 666ghj/BettaFish","trust_score":82,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["data-analysis","analytics","data","agent-framework","deep-research","deep-search"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"knownRisks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":88,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability."}}},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"audit_score":91,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety":{"score":79,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","summary":"Good audit and safety signals with no high-risk permission hints in public metadata.","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_policy":"review","reasons":["Safe-to-try audit","79/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Documentation summary is thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","79/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Research agents","role":"Primary pick","best_for":["Research agents workflows","general agent builders","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Research agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx skills add 666ghj/BettaFish","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review BettaFish trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add 666ghj-bettafish","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"BettaFish\" as a Claude Code skill from https://github.com/666ghj/BettaFish. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"BettaFish\" from https://github.com/666ghj/BettaFish into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"666ghj-bettafish","name":"BettaFish","description":"微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。","category":"data-analysis","url":"https://www.openagentskill.com/skills/666ghj-bettafish","repository":"https://github.com/666ghj/BettaFish","github_repo":"666ghj/BettaFish"},"suited_tasks":["Research agents workflows","general agent builders","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Load tabular data","Calculate trends"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add 666ghj/BettaFish","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add 666ghj-bettafish"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"BettaFish\" as a Claude Code skill from https://github.com/666ghj/BettaFish. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"BettaFish\" from https://github.com/666ghj/BettaFish into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/666ghj-bettafish"},"trust":{"score":88,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"42K GitHub stars","repoActivity":"42K stars, 7.6K forks","lastPushed":"2mo since push","license":"GPL-2.0","repository":"https://github.com/666ghj/BettaFish","install":"npx skills add 666ghj/BettaFish","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["data-analysis","analytics","data","agent-framework","deep-research","deep-search"],"known_risks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. 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Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review Scientific Agent Skills trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add k-dense-ai-scientific-agent-skills","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Scientific Agent Skills\" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-scientific-agent-skills\",\"task\":\"Install Scientific Agent Skills\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Scientific Agent Skills\" as a Claude Code skill from https://github.com/K-Dense-AI/scientific-agent-skills. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-scientific-agent-skills\",\"task\":\"Install Scientific Agent Skills\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Scientific Agent Skills\" from https://github.com/K-Dense-AI/scientific-agent-skills into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-scientific-agent-skills\",\"task\":\"Install Scientific Agent Skills\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"k-dense-ai-scientific-agent-skills","name":"Scientific Agent Skills","description":"Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.","category":"data-analysis","url":"https://www.openagentskill.com/skills/k-dense-ai-scientific-agent-skills","repository":"https://github.com/K-Dense-AI/scientific-agent-skills","github_repo":"K-Dense-AI/scientific-agent-skills"},"suited_tasks":["Data analysis workflows","Claude Code teams","teams that value GitHub adoption signals","Load tabular data","Calculate trends","Summarize findings clearly","Understand table relationships","Write safer queries"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add K-Dense-AI/scientific-agent-skills","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add k-dense-ai-scientific-agent-skills"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Scientific Agent Skills\" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-scientific-agent-skills\",\"task\":\"Install Scientific Agent Skills\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Scientific Agent Skills\" as a Claude Code skill from https://github.com/K-Dense-AI/scientific-agent-skills. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-scientific-agent-skills\",\"task\":\"Install Scientific Agent Skills\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Scientific Agent Skills\" from https://github.com/K-Dense-AI/scientific-agent-skills into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-scientific-agent-skills\",\"task\":\"Install Scientific Agent Skills\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/k-dense-ai-scientific-agent-skills/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-scientific-agent-skills"},"trust":{"score":90,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"33K GitHub stars","repoActivity":"33K stars, 3.3K forks","lastPushed":"25d since push","license":"MIT","repository":"https://github.com/K-Dense-AI/scientific-agent-skills","install":"npx skills add K-Dense-AI/scientific-agent-skills","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"Early agent signal: 100% success from 1 agent outcomes"},"outcome_evidence":{"total":1,"successes":1,"failures":0,"not_relevant":0,"success_rate":100,"recent_success_rate":100,"recent_failure_rate":0,"install_attempts":1,"install_success_rate":100,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":"2026-09-04T11:29:42.855072+00:00","label":"Early agent signal: 100% success from 1 agent outcomes"},"auto_install":{"allowed":true,"sandbox_required":false,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["data-analysis","analytics","data","agent-skills","ai-scientist","bioinformatics"],"known_risks":["Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]},"agent_proven":{"version":"agent-proven-v1","score":42,"tier":"early","label":"Early agent signal","summary":"Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.","metrics":{"totalOutcomes":1,"successfulOutcomes":1,"failedOutcomes":0,"installAttempts":1,"installSuccessRate":100,"successRate":100,"recentSuccessRate":100,"recentFailureRate":0,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":1,"lastOutcomeAt":"2026-09-04T11:29:42.855072+00:00"},"signals":["100% all-time success","100% recent success","1 install attempt","1 agent surface"],"penalties":[]},"audit":{"score":94,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"safety_gate":{"tier":"verified","label":"Verified","auto_install_policy":"allow","auto_install_allowed":true,"human_review_required":false,"blocked":false,"recommended_action":"Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Data, BI, and analytics","scenario":"Data analysis","maintenance":"25d since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use excel-multi-sheet-threshold-analysis for an agent workflow","recommended_action":"Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.","install_policy":"allow","minimum_review_before_use":["Trust: 90/100 Production candidate","Audit: 94/100 Safe to try","Safety: 90/100 Safe to install with normal review","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"k-dense-ai-scientific-agent-skills (Scientific Agent Skills)","install_command":"npx skills add K-Dense-AI/scientific-agent-skills","risk_summary":"Safe to try; Verified; Low metadata risk","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"k-dense-ai-scientific-agent-skills","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/k-dense-ai-scientific-agent-skills","api":"https://www.openagentskill.com/api/agent/skills/k-dense-ai-scientific-agent-skills","audit":"https://www.openagentskill.com/skills/k-dense-ai-scientific-agent-skills/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=k-dense-ai-scientific-agent-skills&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/k-dense-ai-scientific-agent-skills/install","manifest":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-scientific-agent-skills"}},"use_cases":[{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"database-sql","title":"Database and SQL","url":"https://www.openagentskill.com/use-cases/database-sql"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"urls":{"web":"https://www.openagentskill.com/skills/k-dense-ai-scientific-agent-skills","api":"https://www.openagentskill.com/api/agent/skills/k-dense-ai-scientific-agent-skills","install_api":"https://www.openagentskill.com/api/skills/k-dense-ai-scientific-agent-skills/install","audit":"https://www.openagentskill.com/skills/k-dense-ai-scientific-agent-skills/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=k-dense-ai-scientific-agent-skills&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/k-dense-ai-scientific-agent-skills?metric=audit","repository":"https://github.com/K-Dense-AI/scientific-agent-skills"}},"popular_alternative":{"rank":11,"match_score":42,"raw_match_score":205.7,"semantic_relevance":42,"registry_source":{"kind":"live_registry","live":true,"auto_install_eligible":true,"warning":null},"skill":{"slug":"tauricresearch-tradingagents","name":"TradingAgents","description":"TradingAgents: Multi-Agents LLM Financial Trading Framework","category":"finance","github_stars":88376,"created_at":"2026-06-12T02:49:57.774911+00:00","updated_at":"2026-06-22T02:05:09+00:00","repository":"https://github.com/TauricResearch/TradingAgents","github_repo":"TauricResearch/TradingAgents","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"recommendation_reasons":["Matches task terms: multi, analysis","Strong GitHub adoption: 88,376 stars","Quality score 80/100","Install handoff is available","Repository freshness signal is available"],"supply_profile":{"track":{"slug":"finance","label":"Finance and quant workflows","shortLabel":"Finance","description":"Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows."},"scenario":{"label":"Finance and quant","description":"I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"finance-quant","title":"Finance and quant"},{"slug":"github-automation","title":"GitHub automation"}]},"applicableAgents":["CLI","Codex","Claude Code","Cursor","Python"],"install":{"ready":true,"command":"npx skills add TauricResearch/TradingAgents","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":88376,"starsLabel":"88K","forks":17071,"license":"Apache-2.0","qualityScore":100,"trustScore":88,"auditScore":91},"maintenance":{"status":"active","label":"3mo since push","daysSincePush":78,"lastPushedAt":"2026-06-22T02:05:09+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Needs review"]},"coverageTags":["Finance","Finance and quant","analysis","agent","llm","multiagent","trading","python"]},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"88K","tone":"positive"},{"label":"Freshness","value":"3mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v4","score":87,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"88K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"88K stars, 17K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"3mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add TauricResearch/TradingAgents"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/TauricResearch/TradingAgents"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":42,"weight":0.13,"status":"warn","detail":"Early agent signal: 100% success from 1 agent outcomes"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"88K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"88K stars, 17K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"3mo since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add TauricResearch/TradingAgents"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/TauricResearch/TradingAgents"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"warn","label":"Agent Proven outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"warn","label":"Agent outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Agent Proven evidence available: Early agent signal: 100% success from 1 agent outcomes"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"],"evidence":{"stars":"88K GitHub stars","repoActivity":"88K stars, 17K forks","lastPushed":"3mo since push","license":"Apache-2.0","repository":"https://github.com/TauricResearch/TradingAgents","install":"npx skills add TauricResearch/TradingAgents","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"Early agent signal: 100% success from 1 agent outcomes"},"installReadiness":{"ready":true,"command":"npx skills add TauricResearch/TradingAgents","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","Early agent signal (42/100 Agent Proven)","3mo since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Python","Finance","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]},"outcomeEvidence":{"total":1,"successes":1,"failures":0,"notRelevant":0,"successRate":100,"installAttempts":1,"riskBlocked":0,"setupRequired":0,"installSuccessRate":100,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":100,"recentFailureRate":0,"uniqueAgents":1,"agentProvenScore":42,"agentProvenLabel":"Early agent signal","lastOutcomeAt":"2026-08-31T17:25:04.602713+00:00","label":"Early agent signal: 100% success from 1 agent outcomes"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["finance","analysis","agent","llm","multiagent","trading"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]},"trust_v5":{"version":"trust-score-v5","score":72,"base_score":87,"outcome_confidence":0.25,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["72/100 Trust Score v5","87/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"88K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"88K stars, 17K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"3mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add TauricResearch/TradingAgents"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/TauricResearch/TradingAgents"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":42,"weight":0.13,"status":"warn","detail":"Early agent signal: 100% success from 1 agent outcomes"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"88K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"88K stars, 17K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"3mo since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add TauricResearch/TradingAgents"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/TauricResearch/TradingAgents"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"warn","label":"Agent Proven outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"warn","label":"Agent outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Agent Proven evidence available: Early agent signal: 100% success from 1 agent outcomes","Outcome confidence 25% from 1 report(s)"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes","Human review required before unattended installation"],"evidence":{"stars":"88K GitHub stars","repoActivity":"88K stars, 17K forks","lastPushed":"3mo since push","license":"Apache-2.0","repository":"https://github.com/TauricResearch/TradingAgents","install":"npx skills add TauricResearch/TradingAgents","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"Early agent signal: 100% success from 1 agent outcomes","agentProvenScore":42,"outcomeConfidence":"25%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add TauricResearch/TradingAgents","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","Early agent signal (42/100 Agent Proven)","3mo since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Python","Finance","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]},"outcomeEvidence":{"total":1,"successes":1,"failures":0,"notRelevant":0,"successRate":100,"installAttempts":1,"riskBlocked":0,"setupRequired":0,"installSuccessRate":100,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":100,"recentFailureRate":0,"uniqueAgents":1,"agentProvenScore":42,"agentProvenLabel":"Early agent signal","lastOutcomeAt":"2026-08-31T17:25:04.602713+00:00","label":"Early agent signal: 100% success from 1 agent outcomes"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["finance","analysis","agent","llm","multiagent","trading"],"suited_agents":["Python","Finance","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add TauricResearch/TradingAgents","trust_score":72,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["finance","analysis","agent","llm","multiagent","trading"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":87,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability."}}},"agent_proven":{"version":"agent-proven-v1","score":42,"tier":"early","label":"Early agent signal","summary":"Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.","metrics":{"totalOutcomes":1,"successfulOutcomes":1,"failedOutcomes":0,"installAttempts":1,"installSuccessRate":100,"successRate":100,"recentSuccessRate":100,"recentFailureRate":0,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":1,"lastOutcomeAt":"2026-08-31T17:25:04.602713+00:00"},"signals":["100% all-time success","100% recent success","1 install attempt","1 agent surface"],"penalties":[]},"audit":{"audit_score":91,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety":{"score":79,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Documentation summary is thin","79/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Documentation summary is thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Documentation summary is thin","79/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Research agents","role":"Primary pick","best_for":["Research agents workflows","general agent builders","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Research agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx skills add TauricResearch/TradingAgents","value":"Install the \"TradingAgents\" agent skill from https://github.com/TauricResearch/TradingAgents. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: TradingAgents: Multi-Agents LLM Financial Trading Framework After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tauricresearch-tradingagents\",\"task\":\"Install TradingAgents\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review TradingAgents trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add tauricresearch-tradingagents","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"TradingAgents\" agent skill from https://github.com/TauricResearch/TradingAgents. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: TradingAgents: Multi-Agents LLM Financial Trading Framework After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tauricresearch-tradingagents\",\"task\":\"Install TradingAgents\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"TradingAgents\" as a Claude Code skill from https://github.com/TauricResearch/TradingAgents. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: TradingAgents: Multi-Agents LLM Financial Trading Framework After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tauricresearch-tradingagents\",\"task\":\"Install TradingAgents\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"TradingAgents\" from https://github.com/TauricResearch/TradingAgents into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: TradingAgents: Multi-Agents LLM Financial Trading Framework After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tauricresearch-tradingagents\",\"task\":\"Install TradingAgents\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"tauricresearch-tradingagents","name":"TradingAgents","description":"TradingAgents: Multi-Agents LLM Financial Trading Framework","category":"finance","url":"https://www.openagentskill.com/skills/tauricresearch-tradingagents","repository":"https://github.com/TauricResearch/TradingAgents","github_repo":"TauricResearch/TradingAgents"},"suited_tasks":["Research agents workflows","general agent builders","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Retrieve market data","Compare financial signals"],"suited_agents":["Python","Finance","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add TauricResearch/TradingAgents","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add tauricresearch-tradingagents"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"TradingAgents\" agent skill from https://github.com/TauricResearch/TradingAgents. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: TradingAgents: Multi-Agents LLM Financial Trading Framework After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tauricresearch-tradingagents\",\"task\":\"Install TradingAgents\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"TradingAgents\" as a Claude Code skill from https://github.com/TauricResearch/TradingAgents. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: TradingAgents: Multi-Agents LLM Financial Trading Framework After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tauricresearch-tradingagents\",\"task\":\"Install TradingAgents\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"TradingAgents\" from https://github.com/TauricResearch/TradingAgents into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: TradingAgents: Multi-Agents LLM Financial Trading Framework After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"tauricresearch-tradingagents\",\"task\":\"Install TradingAgents\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/tauricresearch-tradingagents/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/tauricresearch-tradingagents"},"trust":{"score":87,"label":"Production candidate","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"88K GitHub stars","repoActivity":"88K stars, 17K forks","lastPushed":"3mo since push","license":"Apache-2.0","repository":"https://github.com/TauricResearch/TradingAgents","install":"npx skills add TauricResearch/TradingAgents","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"Early agent signal: 100% success from 1 agent outcomes"},"outcome_evidence":{"total":1,"successes":1,"failures":0,"not_relevant":0,"success_rate":100,"recent_success_rate":100,"recent_failure_rate":0,"install_attempts":1,"install_success_rate":100,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":"2026-08-31T17:25:04.602713+00:00","label":"Early agent signal: 100% success from 1 agent outcomes"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["finance","analysis","agent","llm","multiagent","trading"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]},"agent_proven":{"version":"agent-proven-v1","score":42,"tier":"early","label":"Early agent signal","summary":"Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.","metrics":{"totalOutcomes":1,"successfulOutcomes":1,"failedOutcomes":0,"installAttempts":1,"installSuccessRate":100,"successRate":100,"recentSuccessRate":100,"recentFailureRate":0,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":1,"lastOutcomeAt":"2026-08-31T17:25:04.602713+00:00"},"signals":["100% all-time success","100% recent success","1 install attempt","1 agent surface"],"penalties":[]},"audit":{"score":91,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Finance and quant workflows","scenario":"Finance and quant","maintenance":"3mo since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"],"agent_contract":{"task_input":"Use excel-multi-sheet-threshold-analysis for an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 87/100 Production candidate","Audit: 91/100 Needs review","Safety: 79/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"tauricresearch-tradingagents (TradingAgents)","install_command":"npx skills add TauricResearch/TradingAgents","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"tauricresearch-tradingagents","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/tauricresearch-tradingagents","api":"https://www.openagentskill.com/api/agent/skills/tauricresearch-tradingagents","audit":"https://www.openagentskill.com/skills/tauricresearch-tradingagents/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=tauricresearch-tradingagents&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/tauricresearch-tradingagents/install","manifest":"https://www.openagentskill.com/api/registry/manifest/tauricresearch-tradingagents"}},"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"finance-quant","title":"Finance and quant","url":"https://www.openagentskill.com/use-cases/finance-quant"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"urls":{"web":"https://www.openagentskill.com/skills/tauricresearch-tradingagents","api":"https://www.openagentskill.com/api/agent/skills/tauricresearch-tradingagents","install_api":"https://www.openagentskill.com/api/skills/tauricresearch-tradingagents/install","audit":"https://www.openagentskill.com/skills/tauricresearch-tradingagents/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=tauricresearch-tradingagents&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/tauricresearch-tradingagents?metric=audit","repository":"https://github.com/TauricResearch/TradingAgents"}},"new_contender":{"rank":4,"match_score":30,"raw_match_score":221.6,"semantic_relevance":30,"registry_source":{"kind":"live_registry","live":true,"auto_install_eligible":true,"warning":null},"skill":{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings Analysis","description":"Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.","category":"Finance","github_stars":34747,"created_at":"2026-08-10T11:06:01.384653+00:00","updated_at":"2026-08-25T18:23:23+00:00","repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis","github_repo":"anthropics/financial-services","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"recommendation_reasons":["Matches task terms: analysis","Strong GitHub adoption: 34,747 stars","Quality score 72/100","Install handoff is available","Repository freshness signal is available"],"supply_profile":{"track":{"slug":"finance","label":"Finance and quant workflows","shortLabel":"Finance","description":"Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows."},"scenario":{"label":"Finance and quant","description":"I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.","useCases":[{"slug":"finance-quant","title":"Finance and quant"},{"slug":"research-agents","title":"Research agents"},{"slug":"coding-agents","title":"Coding agents"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":34747,"starsLabel":"35K","forks":5180,"license":"Apache-2.0","qualityScore":100,"trustScore":83,"auditScore":91},"maintenance":{"status":"fresh","label":"13d since push","daysSincePush":13,"lastPushedAt":"2026-08-25T18:23:23+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Needs review"]},"coverageTags":["Finance","Finance and quant","agent-skill","equity-research","earnings","fundamental-analysis","financial-modeling","Claude Code"]},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"35K","tone":"positive"},{"label":"Freshness","value":"13d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision."]},"trust":{"version":"trust-score-v4","score":82,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"35K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"35K stars, 5.2K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"13d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":66,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx -y skills add anthropics/financial-services --skill earnings-analysis"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis"},{"id":"review_status","label":"Review status","score":71.69,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":42,"weight":0.13,"status":"warn","detail":"Early agent signal: 100% success from 1 agent outcomes"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"35K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"35K stars, 5.2K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"13d since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx -y skills add anthropics/financial-services --skill earnings-analysis"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"warn","label":"Agent Proven outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"warn","label":"Agent outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Agent Proven evidence available: Early agent signal: 100% success from 1 agent outcomes"],"warnings":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"],"evidence":{"stars":"35K GitHub stars","repoActivity":"35K stars, 5.2K forks","lastPushed":"13d since push","license":"Apache-2.0","repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis","install":"npx -y skills add anthropics/financial-services --skill earnings-analysis","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"Early agent signal: 100% success from 1 agent outcomes"},"installReadiness":{"ready":true,"command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","Early agent signal (42/100 Agent Proven)","13d since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Claude Code","Codex","skills.sh","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]},"outcomeEvidence":{"total":1,"successes":1,"failures":0,"notRelevant":0,"successRate":100,"installAttempts":1,"riskBlocked":0,"setupRequired":0,"installSuccessRate":100,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":100,"recentFailureRate":0,"uniqueAgents":1,"agentProvenScore":42,"agentProvenLabel":"Early agent signal","lastOutcomeAt":"2026-09-08T00:55:04.079511+00:00","label":"Early agent signal: 100% success from 1 agent outcomes"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["Finance","agent-skill","equity-research","earnings","fundamental-analysis","financial-modeling"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]},"trust_v5":{"version":"trust-score-v5","score":68,"base_score":82,"outcome_confidence":0.25,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["68/100 Trust Score v5","82/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"35K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"35K stars, 5.2K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"13d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":66,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx -y skills add anthropics/financial-services --skill earnings-analysis"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis"},{"id":"review_status","label":"Review status","score":71.69,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":42,"weight":0.13,"status":"warn","detail":"Early agent signal: 100% success from 1 agent outcomes"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"35K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"35K stars, 5.2K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"13d since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx -y skills add anthropics/financial-services --skill earnings-analysis"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"warn","label":"Agent Proven outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"warn","label":"Agent outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Agent Proven evidence available: Early agent signal: 100% success from 1 agent outcomes","Outcome confidence 25% from 1 report(s)"],"warnings":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes","Human review required before unattended installation"],"evidence":{"stars":"35K GitHub stars","repoActivity":"35K stars, 5.2K forks","lastPushed":"13d since push","license":"Apache-2.0","repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis","install":"npx -y skills add anthropics/financial-services --skill earnings-analysis","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"Early agent signal: 100% success from 1 agent outcomes","agentProvenScore":42,"outcomeConfidence":"25%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","Early agent signal (42/100 Agent Proven)","13d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Claude Code","Codex","skills.sh","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]},"outcomeEvidence":{"total":1,"successes":1,"failures":0,"notRelevant":0,"successRate":100,"installAttempts":1,"riskBlocked":0,"setupRequired":0,"installSuccessRate":100,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":100,"recentFailureRate":0,"uniqueAgents":1,"agentProvenScore":42,"agentProvenLabel":"Early agent signal","lastOutcomeAt":"2026-09-08T00:55:04.079511+00:00","label":"Early agent signal: 100% success from 1 agent outcomes"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["Finance","agent-skill","equity-research","earnings","fundamental-analysis","financial-modeling"],"suited_agents":["Claude Code","Codex","skills.sh","Cursor","OpenAgentSkill CLI"],"install_command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","trust_score":68,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["Finance","agent-skill","equity-research","earnings","fundamental-analysis","financial-modeling"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":82,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"agent_proven":{"version":"agent-proven-v1","score":42,"tier":"early","label":"Early agent signal","summary":"Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.","metrics":{"totalOutcomes":1,"successfulOutcomes":1,"failedOutcomes":0,"installAttempts":1,"installSuccessRate":100,"successRate":100,"recentSuccessRate":100,"recentFailureRate":0,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":1,"lastOutcomeAt":"2026-09-08T00:55:04.079511+00:00"},"signals":["100% all-time success","100% recent success","1 install attempt","1 agent surface"],"penalties":[]},"audit":{"audit_score":91,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety":{"score":79,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Documentation summary is thin","79/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Documentation summary is thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Documentation summary is thin","79/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Finance and quant","role":"Primary pick","best_for":["Finance and quant workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Finance and quant task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","value":"Install the \"Equity Research Earnings Analysis\" agent skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review Equity Research Earnings Analysis trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add anthropic-earnings-analysis","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Equity Research Earnings Analysis\" agent skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Equity Research Earnings Analysis\" as a Claude Code skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Equity Research Earnings Analysis\" from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings Analysis","description":"Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.","category":"Finance","url":"https://www.openagentskill.com/skills/anthropic-earnings-analysis","repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis","github_repo":"anthropics/financial-services"},"suited_tasks":["Finance and quant workflows","Claude Code teams","teams that value GitHub adoption signals","Retrieve market data","Compare financial signals","Generate investor-ready analysis","Search sources","Extract claims"],"suited_agents":["Claude Code","Codex","skills.sh","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add anthropic-earnings-analysis"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Equity Research Earnings Analysis\" agent skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Equity Research Earnings Analysis\" as a Claude Code skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Equity Research Earnings Analysis\" from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/anthropic-earnings-analysis/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/anthropic-earnings-analysis"},"trust":{"score":82,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"35K GitHub stars","repoActivity":"35K stars, 5.2K forks","lastPushed":"13d since push","license":"Apache-2.0","repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis","install":"npx -y skills add anthropics/financial-services --skill earnings-analysis","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"Early agent signal: 100% success from 1 agent 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Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"audit_score":91,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety":{"score":79,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","summary":"Good audit and safety signals with no high-risk permission hints in public metadata.","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_policy":"review","reasons":["Safe-to-try audit","79/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Documentation summary is thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","79/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Research agents","role":"Primary pick","best_for":["Research agents workflows","general agent builders","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Research agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx skills add 666ghj/BettaFish","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review BettaFish trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add 666ghj-bettafish","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"BettaFish\" as a Claude Code skill from https://github.com/666ghj/BettaFish. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"BettaFish\" from https://github.com/666ghj/BettaFish into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"666ghj-bettafish","name":"BettaFish","description":"微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。","category":"data-analysis","url":"https://www.openagentskill.com/skills/666ghj-bettafish","repository":"https://github.com/666ghj/BettaFish","github_repo":"666ghj/BettaFish"},"suited_tasks":["Research agents workflows","general agent builders","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Load tabular data","Calculate trends"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add 666ghj/BettaFish","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add 666ghj-bettafish"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"BettaFish\" as a Claude Code skill from https://github.com/666ghj/BettaFish. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"BettaFish\" from https://github.com/666ghj/BettaFish into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/666ghj-bettafish"},"trust":{"score":88,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"42K GitHub stars","repoActivity":"42K stars, 7.6K forks","lastPushed":"2mo since push","license":"GPL-2.0","repository":"https://github.com/666ghj/BettaFish","install":"npx skills add 666ghj/BettaFish","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["data-analysis","analytics","data","agent-framework","deep-research","deep-search"],"known_risks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":91,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Data, BI, and analytics","scenario":"Data analysis","maintenance":"2mo since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use excel-multi-sheet-threshold-analysis for an agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"review","minimum_review_before_use":["Trust: 88/100 Production candidate","Audit: 91/100 Safe to try","Safety: 79/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"666ghj-bettafish (BettaFish)","install_command":"npx skills add 666ghj/BettaFish","risk_summary":"Safe to try; Reviewed; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/666ghj-bettafish","api":"https://www.openagentskill.com/api/agent/skills/666ghj-bettafish","audit":"https://www.openagentskill.com/skills/666ghj-bettafish/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install","manifest":"https://www.openagentskill.com/api/registry/manifest/666ghj-bettafish"}},"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"urls":{"web":"https://www.openagentskill.com/skills/666ghj-bettafish","api":"https://www.openagentskill.com/api/agent/skills/666ghj-bettafish","install_api":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install","audit":"https://www.openagentskill.com/skills/666ghj-bettafish/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/666ghj-bettafish?metric=audit","repository":"https://github.com/666ghj/BettaFish"}},"alternatives":[{"rank":2,"match_score":30,"raw_match_score":223.3,"semantic_relevance":30,"registry_source":{"kind":"live_registry","live":true,"auto_install_eligible":true,"warning":null},"skill":{"slug":"argoproj-argo-workflows","name":"Argo Workflows","description":"Workflow Engine for Kubernetes","category":"ml-automation","github_stars":16944,"created_at":"2026-06-16T08:55:45.788967+00:00","updated_at":"2026-08-29T02:33:55+00:00","repository":"https://github.com/argoproj/argo-workflows","github_repo":"argoproj/argo-workflows","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"recommendation_reasons":["Matches task terms: workflow","Strong GitHub adoption: 16,944 stars","Quality score 73/100","Install handoff is available","Repository freshness signal is available"],"supply_profile":{"track":{"slug":"design","label":"Design and creative production","shortLabel":"Design","description":"Design assets, images, video, audio, multimodal media, presentation, and creative production skills."},"scenario":{"label":"Multimodal media","description":"I need my agent to process images, video, or audio and extract useful information.","useCases":[{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"browser-automation","title":"Browser automation"},{"slug":"multimodal-media","title":"Multimodal media"}]},"applicableAgents":["CLI","Codex","Claude Code","Cursor","Go"],"install":{"ready":true,"command":"npx skills add argoproj/argo-workflows","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":16944,"starsLabel":"17K","forks":3634,"license":"Apache-2.0","qualityScore":100,"trustScore":90,"auditScore":93},"maintenance":{"status":"fresh","label":"10d since push","daysSincePush":10,"lastPushedAt":"2026-08-29T02:33:55+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","requiresReview":true,"notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"coverageTags":["Design","Multimodal media","ml-automation","machine-learning","automation","ml-media","airflow","argo"]},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"17K","tone":"positive"},{"label":"Freshness","value":"10d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v4","score":90,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"17K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"17K stars, 3.6K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"10d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add argoproj/argo-workflows"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/argoproj/argo-workflows"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"17K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"17K stars, 3.6K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"10d since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add argoproj/argo-workflows"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/argoproj/argo-workflows"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"evidence":{"stars":"17K GitHub stars","repoActivity":"17K stars, 3.6K forks","lastPushed":"10d since push","license":"Apache-2.0","repository":"https://github.com/argoproj/argo-workflows","install":"npx skills add argoproj/argo-workflows","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add argoproj/argo-workflows","policy":"agent_install_candidate","label":"Agent install candidate","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","10d since push"]},"agentCompatibility":["Go","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":true,"sandboxRequired":true,"policy":"agent_install_candidate","reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"bestFor":["ml-automation","machine-learning","automation","ml-media","airflow","argo"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"knownRisks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"trust_v5":{"version":"trust-score-v5","score":84,"base_score":90,"outcome_confidence":0,"tier":"strong","label":"Review then install","summary":"Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.","recommendedAction":"Use as the primary candidate after human or sandbox review.","decision":{"install_policy":"agent_install_candidate","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Ask for approval or run a sandbox-only trial before installing.","reasoning":["84/100 Trust Score v5","90/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"17K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"17K stars, 3.6K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"10d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add argoproj/argo-workflows"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/argoproj/argo-workflows"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"17K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"17K stars, 3.6K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"10d since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add argoproj/argo-workflows"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/argoproj/argo-workflows"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"17K GitHub stars","repoActivity":"17K stars, 3.6K forks","lastPushed":"10d since push","license":"Apache-2.0","repository":"https://github.com/argoproj/argo-workflows","install":"npx skills add argoproj/argo-workflows","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"agent_install_candidate"},"installReadiness":{"ready":true,"command":"npx skills add argoproj/argo-workflows","policy":"agent_install_candidate","label":"Agent install candidate","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","10d since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Go","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"agent_install_candidate","reason":"Ask for approval or run a sandbox-only trial before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["ml-automation","machine-learning","automation","ml-media","airflow","argo"],"suited_agents":["Go","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add argoproj/argo-workflows","trust_score":84,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["ml-automation","machine-learning","automation","ml-media","airflow","argo"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"knownRisks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":90,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability."}}},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"audit_score":93,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety":{"score":81,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","summary":"Good audit and safety signals with no high-risk permission hints in public metadata.","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_policy":"review","reasons":["Safe-to-try audit","81/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Documentation summary is thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","81/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Workflow automation","role":"Primary pick","best_for":["Workflow automation workflows","general agent builders","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Workflow automation task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx skills add argoproj/argo-workflows","value":"Install the \"Argo Workflows\" agent skill from https://github.com/argoproj/argo-workflows. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Workflow Engine for Kubernetes After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"argoproj-argo-workflows\",\"task\":\"Install Argo Workflows\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review Argo Workflows trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add argoproj-argo-workflows","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Argo Workflows\" agent skill from https://github.com/argoproj/argo-workflows. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Workflow Engine for Kubernetes After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"argoproj-argo-workflows\",\"task\":\"Install Argo Workflows\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Argo Workflows\" as a Claude Code skill from https://github.com/argoproj/argo-workflows. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Workflow Engine for Kubernetes After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"argoproj-argo-workflows\",\"task\":\"Install Argo Workflows\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Argo Workflows\" from https://github.com/argoproj/argo-workflows into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Workflow Engine for Kubernetes After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"argoproj-argo-workflows\",\"task\":\"Install Argo Workflows\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"argoproj-argo-workflows","name":"Argo Workflows","description":"Workflow Engine for Kubernetes","category":"ml-automation","url":"https://www.openagentskill.com/skills/argoproj-argo-workflows","repository":"https://github.com/argoproj/argo-workflows","github_repo":"argoproj/argo-workflows"},"suited_tasks":["Workflow automation workflows","general agent builders","teams that value GitHub adoption signals","Move data between tools","Transform files","Trigger repeatable actions","Navigate pages","Click and type safely"],"suited_agents":["Go","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add argoproj/argo-workflows","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add argoproj-argo-workflows"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Argo Workflows\" agent skill from https://github.com/argoproj/argo-workflows. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Workflow Engine for Kubernetes After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"argoproj-argo-workflows\",\"task\":\"Install Argo Workflows\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Argo Workflows\" as a Claude Code skill from https://github.com/argoproj/argo-workflows. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Workflow Engine for Kubernetes After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"argoproj-argo-workflows\",\"task\":\"Install Argo Workflows\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Argo Workflows\" from https://github.com/argoproj/argo-workflows into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Workflow Engine for Kubernetes After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"argoproj-argo-workflows\",\"task\":\"Install Argo Workflows\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/argoproj-argo-workflows/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/argoproj-argo-workflows"},"trust":{"score":90,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"17K GitHub stars","repoActivity":"17K stars, 3.6K forks","lastPushed":"10d since push","license":"Apache-2.0","repository":"https://github.com/argoproj/argo-workflows","install":"npx skills add argoproj/argo-workflows","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["ml-automation","machine-learning","automation","ml-media","airflow","argo"],"known_risks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":93,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Design and creative production","scenario":"Multimodal media","maintenance":"10d since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use excel-multi-sheet-threshold-analysis for an agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"review","minimum_review_before_use":["Trust: 90/100 Production candidate","Audit: 93/100 Safe to try","Safety: 81/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"argoproj-argo-workflows (Argo Workflows)","install_command":"npx skills add argoproj/argo-workflows","risk_summary":"Safe to try; Reviewed; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"argoproj-argo-workflows","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/argoproj-argo-workflows","api":"https://www.openagentskill.com/api/agent/skills/argoproj-argo-workflows","audit":"https://www.openagentskill.com/skills/argoproj-argo-workflows/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=argoproj-argo-workflows&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/argoproj-argo-workflows/install","manifest":"https://www.openagentskill.com/api/registry/manifest/argoproj-argo-workflows"}},"use_cases":[{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"multimodal-media","title":"Multimodal media","url":"https://www.openagentskill.com/use-cases/multimodal-media"}],"urls":{"web":"https://www.openagentskill.com/skills/argoproj-argo-workflows","api":"https://www.openagentskill.com/api/agent/skills/argoproj-argo-workflows","install_api":"https://www.openagentskill.com/api/skills/argoproj-argo-workflows/install","audit":"https://www.openagentskill.com/skills/argoproj-argo-workflows/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=argoproj-argo-workflows&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/argoproj-argo-workflows?metric=audit","repository":"https://github.com/argoproj/argo-workflows"}},{"rank":3,"match_score":30,"raw_match_score":222,"semantic_relevance":30,"registry_source":{"kind":"live_registry","live":true,"auto_install_eligible":true,"warning":null},"skill":{"slug":"ikatyang-emoji-cheat-sheet","name":"Emoji Cheat Sheet","description":"A markdown version emoji cheat sheet","category":"document-processing","github_stars":13754,"created_at":"2026-06-16T10:23:20.071861+00:00","updated_at":"2026-06-16T01:08:37+00:00","repository":"https://github.com/ikatyang/emoji-cheat-sheet","github_repo":"ikatyang/emoji-cheat-sheet","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"recommendation_reasons":["Matches task terms: sheet","Strong GitHub adoption: 13,754 stars","Install handoff is available","Repository freshness signal is available","Registry match score 30"],"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Document processing","description":"I need my agent to read PDFs, extract tables, and turn documents into structured data.","useCases":[{"slug":"document-processing","title":"Document processing"},{"slug":"github-automation","title":"GitHub automation"},{"slug":"coding-agents","title":"Coding agents"}]},"applicableAgents":["CLI","Codex","Claude Code","Cursor","TypeScript"],"install":{"ready":true,"command":"npx skills add ikatyang/emoji-cheat-sheet","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":13754,"starsLabel":"14K","forks":4608,"license":"MIT","qualityScore":100,"trustScore":88,"auditScore":91},"maintenance":{"status":"active","label":"3mo since push","daysSincePush":84,"lastPushedAt":"2026-06-16T01:08:37+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","requiresReview":true,"notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"coverageTags":["Research","Document processing","document-processing","markdown","documents","cheat-sheet","emoji","github"]},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"14K","tone":"positive"},{"label":"Freshness","value":"3mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v4","score":88,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"14K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"14K stars, 4.6K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"3mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add ikatyang/emoji-cheat-sheet"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/ikatyang/emoji-cheat-sheet"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"14K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"14K stars, 4.6K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"3mo since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add ikatyang/emoji-cheat-sheet"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/ikatyang/emoji-cheat-sheet"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"evidence":{"stars":"14K GitHub stars","repoActivity":"14K stars, 4.6K forks","lastPushed":"3mo since push","license":"MIT","repository":"https://github.com/ikatyang/emoji-cheat-sheet","install":"npx skills add ikatyang/emoji-cheat-sheet","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add ikatyang/emoji-cheat-sheet","policy":"agent_install_candidate","label":"Agent install candidate","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","3mo since push"]},"agentCompatibility":["TypeScript","Markdown","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":true,"sandboxRequired":true,"policy":"agent_install_candidate","reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"bestFor":["document-processing","markdown","documents","cheat-sheet","emoji","github"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"knownRisks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"trust_v5":{"version":"trust-score-v5","score":82,"base_score":88,"outcome_confidence":0,"tier":"strong","label":"Review then install","summary":"Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.","recommendedAction":"Use as the primary candidate after human or sandbox review.","decision":{"install_policy":"agent_install_candidate","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Ask for approval or run a sandbox-only trial before installing.","reasoning":["82/100 Trust Score v5","88/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"14K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"14K stars, 4.6K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"3mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add ikatyang/emoji-cheat-sheet"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/ikatyang/emoji-cheat-sheet"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"14K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"14K stars, 4.6K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"3mo since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add ikatyang/emoji-cheat-sheet"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/ikatyang/emoji-cheat-sheet"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Manually verified listing","AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"14K GitHub stars","repoActivity":"14K stars, 4.6K forks","lastPushed":"3mo since push","license":"MIT","repository":"https://github.com/ikatyang/emoji-cheat-sheet","install":"npx skills add ikatyang/emoji-cheat-sheet","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"agent_install_candidate"},"installReadiness":{"ready":true,"command":"npx skills add ikatyang/emoji-cheat-sheet","policy":"agent_install_candidate","label":"Agent install candidate","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","3mo since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["TypeScript","Markdown","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"agent_install_candidate","reason":"Ask for approval or run a sandbox-only trial before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["document-processing","markdown","documents","cheat-sheet","emoji","github"],"suited_agents":["TypeScript","Markdown","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add ikatyang/emoji-cheat-sheet","trust_score":82,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["document-processing","markdown","documents","cheat-sheet","emoji","github"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"knownRisks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":88,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability."}}},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"audit_score":91,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety":{"score":75,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","summary":"Good audit and safety signals with no high-risk permission hints in public metadata.","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_policy":"review","reasons":["Safe-to-try audit","75/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["Documentation summary is thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","75/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Document processing","role":"Primary pick","best_for":["Document processing workflows","general agent builders","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx skills add ikatyang/emoji-cheat-sheet","value":"Install the \"Emoji Cheat Sheet\" agent skill from https://github.com/ikatyang/emoji-cheat-sheet. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A markdown version emoji cheat sheet After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"ikatyang-emoji-cheat-sheet\",\"task\":\"Install Emoji Cheat Sheet\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review Emoji Cheat Sheet trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add ikatyang-emoji-cheat-sheet","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Emoji Cheat Sheet\" agent skill from https://github.com/ikatyang/emoji-cheat-sheet. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A markdown version emoji cheat sheet After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"ikatyang-emoji-cheat-sheet\",\"task\":\"Install Emoji Cheat Sheet\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Emoji Cheat Sheet\" as a Claude Code skill from https://github.com/ikatyang/emoji-cheat-sheet. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A markdown version emoji cheat sheet After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"ikatyang-emoji-cheat-sheet\",\"task\":\"Install Emoji Cheat Sheet\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Emoji Cheat Sheet\" from https://github.com/ikatyang/emoji-cheat-sheet into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A markdown version emoji cheat sheet After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"ikatyang-emoji-cheat-sheet\",\"task\":\"Install Emoji Cheat Sheet\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"ikatyang-emoji-cheat-sheet","name":"Emoji Cheat Sheet","description":"A markdown version emoji cheat sheet","category":"document-processing","url":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet","repository":"https://github.com/ikatyang/emoji-cheat-sheet","github_repo":"ikatyang/emoji-cheat-sheet"},"suited_tasks":["Document processing workflows","general agent builders","teams that value GitHub adoption signals","Read uploaded files","Extract structured fields","Prepare clean context for downstream agents","Inspect repository metadata","Compare code changes"],"suited_agents":["TypeScript","Markdown","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add ikatyang/emoji-cheat-sheet","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add ikatyang-emoji-cheat-sheet"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Emoji Cheat Sheet\" agent skill from https://github.com/ikatyang/emoji-cheat-sheet. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A markdown version emoji cheat sheet After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"ikatyang-emoji-cheat-sheet\",\"task\":\"Install Emoji Cheat Sheet\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Emoji Cheat Sheet\" as a Claude Code skill from https://github.com/ikatyang/emoji-cheat-sheet. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A markdown version emoji cheat sheet After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"ikatyang-emoji-cheat-sheet\",\"task\":\"Install Emoji Cheat Sheet\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Emoji Cheat Sheet\" from https://github.com/ikatyang/emoji-cheat-sheet into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A markdown version emoji cheat sheet After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"ikatyang-emoji-cheat-sheet\",\"task\":\"Install Emoji Cheat Sheet\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/ikatyang-emoji-cheat-sheet/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/ikatyang-emoji-cheat-sheet"},"trust":{"score":88,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"14K GitHub stars","repoActivity":"14K stars, 4.6K forks","lastPushed":"3mo since push","license":"MIT","repository":"https://github.com/ikatyang/emoji-cheat-sheet","install":"npx skills add ikatyang/emoji-cheat-sheet","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["document-processing","markdown","documents","cheat-sheet","emoji","github"],"known_risks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":91,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Document processing","maintenance":"3mo since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use excel-multi-sheet-threshold-analysis for an agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"review","minimum_review_before_use":["Trust: 88/100 Production candidate","Audit: 91/100 Safe to try","Safety: 75/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"ikatyang-emoji-cheat-sheet (Emoji Cheat Sheet)","install_command":"npx skills add ikatyang/emoji-cheat-sheet","risk_summary":"Safe to try; Reviewed; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"ikatyang-emoji-cheat-sheet","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet","api":"https://www.openagentskill.com/api/agent/skills/ikatyang-emoji-cheat-sheet","audit":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=ikatyang-emoji-cheat-sheet&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/ikatyang-emoji-cheat-sheet/install","manifest":"https://www.openagentskill.com/api/registry/manifest/ikatyang-emoji-cheat-sheet"}},"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"urls":{"web":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet","api":"https://www.openagentskill.com/api/agent/skills/ikatyang-emoji-cheat-sheet","install_api":"https://www.openagentskill.com/api/skills/ikatyang-emoji-cheat-sheet/install","audit":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=ikatyang-emoji-cheat-sheet&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/ikatyang-emoji-cheat-sheet?metric=audit","repository":"https://github.com/ikatyang/emoji-cheat-sheet"}},{"rank":4,"match_score":30,"raw_match_score":221.6,"semantic_relevance":30,"registry_source":{"kind":"live_registry","live":true,"auto_install_eligible":true,"warning":null},"skill":{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings 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Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["68/100 Trust Score v5","82/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"35K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"35K stars, 5.2K forks; 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issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"13d since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx -y skills add anthropics/financial-services --skill earnings-analysis"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"warn","label":"Agent Proven outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"warn","label":"Agent outcomes","detail":"Early agent signal: 100% success from 1 agent outcomes"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Agent Proven evidence available: Early agent signal: 100% success from 1 agent outcomes","Outcome confidence 25% from 1 report(s)"],"warnings":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes","Human review required before unattended installation"],"evidence":{"stars":"35K GitHub stars","repoActivity":"35K stars, 5.2K forks","lastPushed":"13d since push","license":"Apache-2.0","repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis","install":"npx -y skills add anthropics/financial-services --skill earnings-analysis","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"Early agent signal: 100% success from 1 agent outcomes","agentProvenScore":42,"outcomeConfidence":"25%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","Early agent signal (42/100 Agent Proven)","13d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Claude Code","Codex","skills.sh","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]},"outcomeEvidence":{"total":1,"successes":1,"failures":0,"notRelevant":0,"successRate":100,"installAttempts":1,"riskBlocked":0,"setupRequired":0,"installSuccessRate":100,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":100,"recentFailureRate":0,"uniqueAgents":1,"agentProvenScore":42,"agentProvenLabel":"Early agent signal","lastOutcomeAt":"2026-09-08T00:55:04.079511+00:00","label":"Early agent signal: 100% success from 1 agent outcomes"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["Finance","agent-skill","equity-research","earnings","fundamental-analysis","financial-modeling"],"suited_agents":["Claude Code","Codex","skills.sh","Cursor","OpenAgentSkill CLI"],"install_command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","trust_score":68,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["Finance","agent-skill","equity-research","earnings","fundamental-analysis","financial-modeling"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Documentation summary is thin","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":82,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"agent_proven":{"version":"agent-proven-v1","score":42,"tier":"early","label":"Early agent signal","summary":"Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.","metrics":{"totalOutcomes":1,"successfulOutcomes":1,"failedOutcomes":0,"installAttempts":1,"installSuccessRate":100,"successRate":100,"recentSuccessRate":100,"recentFailureRate":0,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":1,"lastOutcomeAt":"2026-09-08T00:55:04.079511+00:00"},"signals":["100% all-time success","100% recent success","1 install attempt","1 agent surface"],"penalties":[]},"audit":{"audit_score":91,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety":{"score":79,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Documentation summary is thin","79/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Documentation summary is thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Documentation summary is thin","79/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Finance and quant","role":"Primary pick","best_for":["Finance and quant workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Finance and quant task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","value":"Install the \"Equity Research Earnings Analysis\" agent skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review Equity Research Earnings Analysis trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add anthropic-earnings-analysis","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Equity Research Earnings Analysis\" agent skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Equity Research Earnings Analysis\" as a Claude Code skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Equity Research Earnings Analysis\" from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings Analysis","description":"Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.","category":"Finance","url":"https://www.openagentskill.com/skills/anthropic-earnings-analysis","repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis","github_repo":"anthropics/financial-services"},"suited_tasks":["Finance and quant workflows","Claude Code teams","teams that value GitHub adoption signals","Retrieve market data","Compare financial signals","Generate investor-ready analysis","Search sources","Extract claims"],"suited_agents":["Claude Code","Codex","skills.sh","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add anthropic-earnings-analysis"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Equity Research Earnings Analysis\" agent skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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CLI"],"install_command":"npx skills add bytedance/deer-flow","trust_score":87,"trust_version":"trust-score-v5","risk_level":"low","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["agent-frameworks","multi-agent","orchestration","agent","agentic","agentic-framework"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"knownRisks":["Documentation summary is thin"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":90,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability."}}},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"audit_score":93,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"safety":{"score":81,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","summary":"Good audit and safety signals with no high-risk permission hints in public metadata.","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_policy":"review","reasons":["Safe-to-try audit","81/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Documentation summary is thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","81/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Research agents","role":"Primary pick","best_for":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No major risk signals from current metadata"],"next_steps":["Install it in a sandbox agent and run one Research agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"install_plan":{"target":"codex","label":"Codex install prompt","command":"npx skills add bytedance/deer-flow","value":"Install the \"Deer Flow\" agent skill from https://github.com/bytedance/deer-flow. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"bytedance-deer-flow\",\"task\":\"Install Deer Flow\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review Deer Flow trust and audit signals before installing.","Send the install prompt to the target agent.","Install in a sandbox or low-risk workspace first.","Pin the repository source and re-check the audit before production use."],"targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add bytedance-deer-flow","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Deer Flow\" agent skill from https://github.com/bytedance/deer-flow. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"bytedance-deer-flow\",\"task\":\"Install Deer Flow\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Deer Flow\" as a Claude Code skill from https://github.com/bytedance/deer-flow. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"bytedance-deer-flow\",\"task\":\"Install Deer Flow\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Deer Flow\" from https://github.com/bytedance/deer-flow into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"bytedance-deer-flow\",\"task\":\"Install Deer Flow\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"bytedance-deer-flow","name":"Deer Flow","description":"An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.","category":"agent-frameworks","url":"https://www.openagentskill.com/skills/bytedance-deer-flow","repository":"https://github.com/bytedance/deer-flow","github_repo":"bytedance/deer-flow"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Chunk documents","Create embeddings"],"suited_agents":["Python","Multi-Agent","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add bytedance/deer-flow","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add bytedance-deer-flow"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Deer Flow\" agent skill from https://github.com/bytedance/deer-flow. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"bytedance-deer-flow\",\"task\":\"Install Deer Flow\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Deer Flow\" as a Claude Code skill from https://github.com/bytedance/deer-flow. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"bytedance-deer-flow\",\"task\":\"Install Deer Flow\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Deer Flow\" from https://github.com/bytedance/deer-flow into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"bytedance-deer-flow\",\"task\":\"Install Deer Flow\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/bytedance-deer-flow/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/bytedance-deer-flow"},"trust":{"score":90,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"71K GitHub stars","repoActivity":"71K stars, 9.6K forks","lastPushed":"3mo since push","license":"MIT","repository":"https://github.com/bytedance/deer-flow","install":"npx skills add bytedance/deer-flow","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["agent-frameworks","multi-agent","orchestration","agent","agentic","agentic-framework"],"known_risks":["Documentation summary is thin"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":93,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"3mo since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","Documentation summary is thin","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use excel-multi-sheet-threshold-analysis for an agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"review","minimum_review_before_use":["Trust: 90/100 Production candidate","Audit: 93/100 Safe to try","Safety: 81/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"bytedance-deer-flow (Deer Flow)","install_command":"npx skills add bytedance/deer-flow","risk_summary":"Safe to try; Reviewed; Low metadata risk","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"bytedance-deer-flow","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/bytedance-deer-flow","api":"https://www.openagentskill.com/api/agent/skills/bytedance-deer-flow","audit":"https://www.openagentskill.com/skills/bytedance-deer-flow/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=bytedance-deer-flow&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/bytedance-deer-flow/install","manifest":"https://www.openagentskill.com/api/registry/manifest/bytedance-deer-flow"}},"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"}],"urls":{"web":"https://www.openagentskill.com/skills/bytedance-deer-flow","api":"https://www.openagentskill.com/api/agent/skills/bytedance-deer-flow","install_api":"https://www.openagentskill.com/api/skills/bytedance-deer-flow/install","audit":"https://www.openagentskill.com/skills/bytedance-deer-flow/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=bytedance-deer-flow&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/bytedance-deer-flow?metric=audit","repository":"https://github.com/bytedance/deer-flow"}}],"blocked_candidates":[],"agent_workflow":{"mode":"resolve_review_install","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","selected_skill":{"slug":"666ghj-bettafish","name":"BettaFish","url":"https://www.openagentskill.com/skills/666ghj-bettafish","repository":"https://github.com/666ghj/BettaFish"},"install":{"target":"codex","label":"Codex install prompt","kind":"agent-prompt","command":"npx skills add 666ghj/BettaFish","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","api":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install"},"copy_paste_prompt":"Task: Use excel-multi-sheet-threshold-analysis for an agent workflow\nUse BettaFish from https://www.openagentskill.com/skills/666ghj-bettafish.\nReview the audit first: https://www.openagentskill.com/skills/666ghj-bettafish/audit\nReview the eval first: https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/666ghj-bettafish/install\nInstall command: npx skills add 666ghj/BettaFish\nIf audit or policy warnings look unsafe for this workspace, use one of the alternatives instead.","api_sequence":[{"step":1,"label":"Resolve task","method":"GET","url":"https://www.openagentskill.com/api/agent/resolve?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium"},{"step":2,"label":"Fetch pre-install eval","method":"GET","url":"https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium"},{"step":3,"label":"Fetch selected skill profile","method":"GET","url":"https://www.openagentskill.com/api/agent/skills/666ghj-bettafish"},{"step":4,"label":"Fetch install handoff","method":"GET","url":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install"},{"step":5,"label":"Review audit","method":"GET","url":"https://www.openagentskill.com/skills/666ghj-bettafish/audit"},{"step":6,"label":"Report outcome","method":"POST","url":"https://www.openagentskill.com/api/agent/outcome","body":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}}}],"review_checklist":["Safety tier: Reviewed","Safety score: 79/100 Review before install","Audit score: 91/100 Safe to try","Trust score: 82/100 Review then install","Readiness: 100/100 Production-ready","Documentation summary is thin","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"fallback_strategy":[{"slug":"argoproj-argo-workflows","name":"Argo Workflows","reason":"Matches task terms: workflow","url":"https://www.openagentskill.com/skills/argoproj-argo-workflows","install_api":"https://www.openagentskill.com/api/skills/argoproj-argo-workflows/install"},{"slug":"ikatyang-emoji-cheat-sheet","name":"Emoji Cheat Sheet","reason":"Matches task terms: sheet","url":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet","install_api":"https://www.openagentskill.com/api/skills/ikatyang-emoji-cheat-sheet/install"},{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings Analysis","reason":"Matches task terms: analysis","url":"https://www.openagentskill.com/skills/anthropic-earnings-analysis","install_api":"https://www.openagentskill.com/api/skills/anthropic-earnings-analysis/install"}],"expected_agent_output":{"selected_skill":"slug and name","install_command":"command or agent prompt used","risk_summary":"audit, trust, and policy notes","next_step":"what the agent will do after install","outcome_event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a"}},"agent_handoff":{"version":"openagentskill-agent-handoff-v1","mode":"resolve_compare_review_install","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","selected_skill":{"slug":"666ghj-bettafish","name":"BettaFish","url":"https://www.openagentskill.com/skills/666ghj-bettafish","api_url":"https://www.openagentskill.com/api/agent/skills/666ghj-bettafish","audit_url":"https://www.openagentskill.com/skills/666ghj-bettafish/audit","eval_url":"https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium","repository":"https://github.com/666ghj/BettaFish"},"install_plan":{"command":"npx skills add 666ghj/BettaFish","target":"codex","label":"Codex install prompt","kind":"agent-prompt","value":"Install the \"BettaFish\" agent skill from https://github.com/666ghj/BettaFish. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"666ghj-bettafish\",\"task\":\"Install BettaFish\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","install_api":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install","auto_install_allowed":false,"human_review_required":true,"policy":"review"},"api_sequence":[{"step":1,"label":"Resolve task","method":"GET","url":"https://www.openagentskill.com/api/agent/resolve?task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium"},{"step":2,"label":"Fetch pre-install eval","method":"GET","url":"https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium"},{"step":3,"label":"Fetch selected skill profile","method":"GET","url":"https://www.openagentskill.com/api/agent/skills/666ghj-bettafish"},{"step":4,"label":"Fetch install handoff","method":"GET","url":"https://www.openagentskill.com/api/skills/666ghj-bettafish/install"},{"step":5,"label":"Review audit","method":"GET","url":"https://www.openagentskill.com/skills/666ghj-bettafish/audit"},{"step":6,"label":"Report outcome","method":"POST","url":"https://www.openagentskill.com/api/agent/outcome","body":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}}}],"platform_templates":[{"id":"codex","name":"Codex","surface":"Coding agent / local workspace","copy_prompt":"Task: Use excel-multi-sheet-threshold-analysis for an agent workflow\nSelected skill: BettaFish (666ghj-bettafish)\nSkill URL: https://www.openagentskill.com/skills/666ghj-bettafish\nAudit URL: https://www.openagentskill.com/skills/666ghj-bettafish/audit\nEval URL: https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/666ghj-bettafish/install\nInstall command: npx skills add 666ghj/BettaFish\nInstall policy: Human review is required before install.\nOutcome feedback: use install_receipt.outcome_feedback.event_id or feedback.event_id from the Resolve API and report the result to /api/agent/outcome after one narrow run. Include outcome, install_used, task_success, output_quality, workspace, error_type, and human_review_required when known.\n\nBefore installing:\n1. Read the audit and eval result.\n2. Report risk notes and files or commands that will be touched.\n3. Install only in a sandbox or low-risk workspace first.\n4. If risk is unacceptable, use an alternative.\n\nAlternatives:\n- Argo Workflows (argoproj-argo-workflows): https://www.openagentskill.com/skills/argoproj-argo-workflows\n- Emoji Cheat Sheet (ikatyang-emoji-cheat-sheet): https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet\n- Equity Research Earnings Analysis (anthropic-earnings-analysis): https://www.openagentskill.com/skills/anthropic-earnings-analysis\n\nExpected Codex output:\n- selected_skill\n- install_command\n- risk_summary\n- outcome_event_id\n- alternatives\n- files_or_commands_to_touch\n- next_action"},{"id":"claude-code","name":"Claude Code","surface":"Claude Code skill workflow","copy_prompt":"Task: Use excel-multi-sheet-threshold-analysis for an agent workflow\nSelected skill: BettaFish (666ghj-bettafish)\nSkill URL: https://www.openagentskill.com/skills/666ghj-bettafish\nAudit URL: https://www.openagentskill.com/skills/666ghj-bettafish/audit\nEval URL: https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/666ghj-bettafish/install\nInstall command: npx skills add 666ghj/BettaFish\nInstall policy: Human review is required before install.\nOutcome feedback: use install_receipt.outcome_feedback.event_id or feedback.event_id from the Resolve API and report the result to /api/agent/outcome after one narrow run. Include outcome, install_used, task_success, output_quality, workspace, error_type, and human_review_required when known.\n\nBefore installing:\n1. Read the audit and eval result.\n2. Report risk notes and files or commands that will be touched.\n3. Install only in a sandbox or low-risk workspace first.\n4. If risk is unacceptable, use an alternative.\n\nAlternatives:\n- Argo Workflows (argoproj-argo-workflows): https://www.openagentskill.com/skills/argoproj-argo-workflows\n- Emoji Cheat Sheet (ikatyang-emoji-cheat-sheet): https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet\n- Equity Research Earnings Analysis (anthropic-earnings-analysis): https://www.openagentskill.com/skills/anthropic-earnings-analysis\n\nExpected Claude Code output:\n- selected_skill\n- skill_files_or_instructions\n- install_prompt\n- risk_summary\n- outcome_event_id\n- activation_steps\n- fallback_skill"},{"id":"cursor","name":"Cursor","surface":"Cursor rules / agent instructions","copy_prompt":"Task: Use excel-multi-sheet-threshold-analysis for an agent workflow\nSelected skill: BettaFish (666ghj-bettafish)\nSkill URL: https://www.openagentskill.com/skills/666ghj-bettafish\nAudit URL: https://www.openagentskill.com/skills/666ghj-bettafish/audit\nEval URL: https://www.openagentskill.com/api/agent/evals?slug=666ghj-bettafish&task=Use%20excel-multi-sheet-threshold-analysis%20for%20an%20agent%20workflow&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/666ghj-bettafish/install\nInstall command: npx skills add 666ghj/BettaFish\nInstall policy: Human review is required before install.\nOutcome feedback: use install_receipt.outcome_feedback.event_id or feedback.event_id from the Resolve API and report the result to /api/agent/outcome after one narrow run. Include outcome, install_used, task_success, output_quality, workspace, error_type, and human_review_required when known.\n\nBefore installing:\n1. Read the audit and eval result.\n2. Report risk notes and files or commands that will be touched.\n3. Install only in a sandbox or low-risk workspace first.\n4. If risk is unacceptable, use an alternative.\n\nAlternatives:\n- Argo Workflows (argoproj-argo-workflows): https://www.openagentskill.com/skills/argoproj-argo-workflows\n- Emoji Cheat Sheet (ikatyang-emoji-cheat-sheet): https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet\n- Equity Research Earnings Analysis (anthropic-earnings-analysis): https://www.openagentskill.com/skills/anthropic-earnings-analysis\n\nExpected Cursor output:\n- selected_skill\n- cursor_rule_or_prompt\n- install_command\n- risk_summary\n- outcome_event_id\n- when_to_use\n- when_not_to_use"}],"review_checklist":["Safety tier: Reviewed","Safety score: 79/100 Review before install","Audit score: 91/100 Safe to try","Trust score: 82/100 Review then install","Readiness: 100/100 Production-ready","Documentation summary is thin","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"expected_output":{"selected_skill":"slug and name","install_command":"command or agent prompt used","risk_summary":"audit, trust, and policy notes","next_step":"what the agent will do after install","outcome_event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a"},"feedback":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","outcome_api":"https://www.openagentskill.com/api/agent/outcome","cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_b2dea33c-8175-41ba-bb49-71975efba69a\" --skill \"666ghj-bettafish\" --task \"Use excel-multi-sheet-threshold-analysis for an agent workflow\" --agent \"codex\" --outcome success","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"]},"blocked_actions":["Do not install when safety_gate.blocked is true.","Do not install when the audit or eval reports unacceptable workspace risk.","Do not execute shell commands, access secrets, or call external services without user approval.","Do not keep the skill as an always-on instruction if it only fits a narrow task."]},"policy_decision":{"status":"human_review_required","summary":"Review the audit page, then allow agent install in a sandboxed workflow."},"agent_decision":{"input_task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","recommended_skill":{"slug":"666ghj-bettafish","name":"BettaFish","url":"https://www.openagentskill.com/skills/666ghj-bettafish","audit_url":"https://www.openagentskill.com/skills/666ghj-bettafish/audit","repository":"https://github.com/666ghj/BettaFish","safety_tier":"Reviewed","auto_install_policy":"review"},"alternative_skills":[{"slug":"argoproj-argo-workflows","name":"Argo Workflows","url":"https://www.openagentskill.com/skills/argoproj-argo-workflows","install_command":"npx skills add argoproj/argo-workflows","why_consider":"Matches task terms: workflow","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"81/100 Review before install","trust":"90/100 Production candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"ikatyang-emoji-cheat-sheet","name":"Emoji Cheat Sheet","url":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet","install_command":"npx skills add ikatyang/emoji-cheat-sheet","why_consider":"Matches task terms: sheet","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"75/100 Review before install","trust":"88/100 Production candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings Analysis","url":"https://www.openagentskill.com/skills/anthropic-earnings-analysis","install_command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","why_consider":"Matches task terms: analysis","risk":{"level":"Needs review","safety_tier":"Reviewed with permission notes","safety":"79/100 Review before install","trust":"82/100 Strong shortlist","notes":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]}}],"install_command":"npx skills add 666ghj/BettaFish","install_target":"Codex install prompt","why_recommended":["Matches task terms: multi, analysis","Strong GitHub adoption: 41,932 stars","Quality score 76/100","Install handoff is available","Repository freshness signal is available","Primary pick for Research agents"],"risk_summary":{"level":"Safe to try","safety_tier":"Reviewed","safety":"79/100 Review before install","trust":"88/100 Production candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"review","action":"Review the audit page, then allow agent install in a sandboxed workflow."},"feedback":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","outcome_api":"https://www.openagentskill.com/api/agent/outcome","cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_b2dea33c-8175-41ba-bb49-71975efba69a\" --skill \"666ghj-bettafish\" --task \"Use excel-multi-sheet-threshold-analysis for an agent workflow\" --agent \"codex\" --outcome success","contract":{"version":"openagentskill-agent-feedback-loop-v3","status":"active","purpose":"Report the result of one resolved skill run so Trust Score v5 and future Resolve rankings learn from real use.","event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","selected_skill_slug":"666ghj-bettafish","selected_skill_name":"BettaFish","endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","idempotency":"Retrying the same event_id updates the previous outcome.","dry_run":{"supported":true,"instruction":"Set dry_run=true to validate a payload before wiring a new agent integration."},"expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"error_types":["install_failed","runtime_error","not_relevant","permission_blocked","risk_blocked","setup_required","low_quality_output","missing_dependency","timeout","other"],"workspaces":["sandbox","local","ci","production","unknown"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url"],"payload_template":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_b2dea33c-8175-41ba-bb49-71975efba69a\" --skill \"666ghj-bettafish\" --task \"Use excel-multi-sheet-threshold-analysis for an agent workflow\" --agent \"codex\" --outcome success","ranking_inputs_updated":["Trust Score v5 outcome confidence","Resolve ranking outcome evidence","Skill detail outcome signal block","Outcome leaderboard"]}},"agent_next_steps":["Read the audit URL before installing.","Ask for human approval before installing.","Use install command: npx skills add 666ghj/BettaFish","After one narrow task, report the outcome with: npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_b2dea33c-8175-41ba-bb49-71975efba69a\" --skill \"666ghj-bettafish\" --task \"Use excel-multi-sheet-threshold-analysis for an agent workflow\" --agent \"codex\" --outcome success","Summarize output, warnings, files touched, and whether setup or human review was required."]},"decision_packet":{"version":"openagentskill-agent-decision-packet-v1","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","selected_skill":{"slug":"666ghj-bettafish","name":"BettaFish","url":"https://www.openagentskill.com/skills/666ghj-bettafish","api_url":"https://www.openagentskill.com/api/agent/skills/666ghj-bettafish","audit_url":"https://www.openagentskill.com/skills/666ghj-bettafish/audit","repository":"https://github.com/666ghj/BettaFish","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"suited_tasks":["Research agents workflows","general agent builders","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Load tabular data","Calculate trends"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add 666ghj/BettaFish","target":"codex","label":"Codex install prompt","policy":"review","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true},"trust":{"score":82,"label":"Review then install","version":"trust-score-v5","base_score":88,"outcome_confidence":0,"decision":{"install_policy":"agent_install_candidate","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Ask for approval or run a sandbox-only trial before installing.","reasoning":["82/100 Trust Score v5","88/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"status":"pass","detail":"42K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"status":"pass","detail":"42K stars, 7.6K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"status":"pass","detail":"2mo since push"},{"id":"license","label":"License clarity","score":86,"status":"pass","detail":"GPL-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"status":"pass","detail":"npx skills add 666ghj/BettaFish"},{"id":"install_safety","label":"Install command safety","score":92,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"status":"pass","detail":"https://github.com/666ghj/BettaFish"},{"id":"review_status","label":"Review status","score":88,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"status":"info","detail":"No agent outcome data yet"}]},"risk":{"level":"Safe to try","audit_label":"Safe to try","safety":"79/100 Review before install","trust":"88/100 Production candidate","safety_tier":"Reviewed","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"minimum_review_before_use":["Trust: 88/100 Production candidate","Audit: 91/100 Safe to try","Safety: 79/100 Review before install","Review repository, license, install command, and permission surface before production use."]},"alternatives":[{"slug":"argoproj-argo-workflows","name":"Argo Workflows","url":"https://www.openagentskill.com/skills/argoproj-argo-workflows","install_command":"npx skills add argoproj/argo-workflows","trust_score":90,"audit_score":93,"safety_score":81,"why_consider":"Matches task terms: workflow","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"81/100 Review before install","trust":"90/100 Production candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"ikatyang-emoji-cheat-sheet","name":"Emoji Cheat Sheet","url":"https://www.openagentskill.com/skills/ikatyang-emoji-cheat-sheet","install_command":"npx skills add ikatyang/emoji-cheat-sheet","trust_score":88,"audit_score":91,"safety_score":75,"why_consider":"Matches task terms: sheet","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"75/100 Review before install","trust":"88/100 Production candidate","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"anthropic-earnings-analysis","name":"Equity Research Earnings Analysis","url":"https://www.openagentskill.com/skills/anthropic-earnings-analysis","install_command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","trust_score":82,"audit_score":91,"safety_score":79,"why_consider":"Matches task terms: analysis","risk":{"level":"Needs review","safety_tier":"Reviewed with permission notes","safety":"79/100 Review before install","trust":"82/100 Strong shortlist","notes":["Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision.","Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes"]}},{"slug":"bytedance-deer-flow","name":"Deer Flow","url":"https://www.openagentskill.com/skills/bytedance-deer-flow","install_command":"npx skills add bytedance/deer-flow","trust_score":90,"audit_score":93,"safety_score":81,"why_consider":"Matches task terms: multi, workflow","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"81/100 Review before install","trust":"90/100 Production candidate","notes":["Documentation summary is thin"]}}],"outcome_feedback":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"resolve_b2dea33c-8175-41ba-bb49-71975efba69a","skill_slug":"666ghj-bettafish","task":"Use excel-multi-sheet-threshold-analysis for an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Solved the task in a sandbox workflow.","source_version":{"version":"1.0.0","commit_sha":null,"content_hash":null,"ref":null,"path":null,"sync_status":"untracked"}},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz outcome \"resolve_b2dea33c-8175-41ba-bb49-71975efba69a\" --skill \"666ghj-bettafish\" --task \"Use excel-multi-sheet-threshold-analysis for an agent workflow\" --agent \"codex\" --outcome success"},"next_agent_action":"Ask for human approval or choose a safer alternative before installing.","stable_fields":["decision_packet.selected_skill","decision_packet.install","decision_packet.risk.do_not_use_when","decision_packet.alternatives","decision_packet.outcome_feedback","decision_packet.trust.decision"]},"benchmark":{"endpoint":"https://www.openagentskill.com/api/agent/evals","note":"Use the evals endpoint to regression-test recommendation quality before changing ranking logic."},"meta":{"endpoint":"/api/agent/resolve","api_version":"2.0","generated_at":"2026-09-08T12:19:02.869Z","total_skills_searched":751,"total_candidates":15,"candidate_pool":{"sort":"quality","size":751,"note":"Resolver searches the highest-quality candidate pool for low-latency agent use. Browse /skills for the full public index."},"contract":{"best_skill":"recommendation.best_skill","install":"recommendation.install","why":"recommendation.why_recommended","risk":"recommendation.risk","alternatives":"recommendation.alternatives","agent_handoff":"agent_handoff.platform_templates + agent_handoff.review_checklist","decision_packet":"decision_packet","install_receipt":"install_receipt","recommendation_lanes":"recommendation_lanes"}}}