{"task":"Use Sample Bedrock Deep Researcher","agent":"codex","constraints":{"max_risk":"medium","needs_install_command":true,"min_stars":0},"feedback":{"event_id":"resolve_92322404-d70f-41ec-969f-352d9776b222","outcome_api":"https://www.openagentskill.com/api/agent/outcome","method":"POST","selected_skill_slug":"aws-samples-amazon-bedrock-samples","selected_skill_name":"Amazon Bedrock Samples","alternative_skill_slugs":["xiangyue-zhang-auto-deep-researcher-24x7","aws-samples-bedrock-chat","alibaba-nlp-deepresearch","deepspeedai-deepspeed"],"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_92322404-d70f-41ec-969f-352d9776b222","skill_slug":"aws-samples-amazon-bedrock-samples","task":"Use Sample Bedrock Deep Researcher","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."},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz outcome \"resolve_92322404-d70f-41ec-969f-352d9776b222\" --skill \"aws-samples-amazon-bedrock-samples\" --task \"Use Sample Bedrock Deep Researcher\" --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_92322404-d70f-41ec-969f-352d9776b222","selected_skill_slug":"aws-samples-amazon-bedrock-samples","selected_skill_name":"Amazon Bedrock Samples","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_92322404-d70f-41ec-969f-352d9776b222","skill_slug":"aws-samples-amazon-bedrock-samples","task":"Use Sample Bedrock Deep Researcher","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."},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz outcome \"resolve_92322404-d70f-41ec-969f-352d9776b222\" --skill \"aws-samples-amazon-bedrock-samples\" --task \"Use Sample Bedrock Deep Researcher\" --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-v1","receipt_id":"receipt_92322404-d70f-41ec-969f-352d9776b222","resolve_event_id":"resolve_92322404-d70f-41ec-969f-352d9776b222","generated_at":"2026-08-23T16:47:58.572Z","task":"Use Sample Bedrock Deep 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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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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: bedrock","Useful GitHub adoption: 1,444 stars","Install handoff is available","Repository freshness signal is available","Registry match score 30","Primary pick for RAG and knowledge","85/100 Trust Score","0/100 Agent Proven Score"],"suited_tasks":["RAG and knowledge workflows","LangChain teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Read user messages","Find relevant knowledge"],"suited_agents":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI","LangChain","CLI"]},"trust":{"score":85,"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":["85/100 Trust Score v5","88/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Low metadata risk"],"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-v3","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"],"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":73,"audit_score":89,"notes":["Documentation summary is thin","Safe-to-try audit","73/100 agent safety score"],"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"],"minimum_review_before_use":["Trust: 88/100 Production candidate","Audit: 89/100 Safe to try","Safety: 73/100 Review before install","Review repository, license, install command, and permission surface before production use."]},"alternatives":[{"slug":"xiangyue-zhang-auto-deep-researcher-24x7","name":"Auto Deep Researcher 24x7","url":"https://www.openagentskill.com/skills/xiangyue-zhang-auto-deep-researcher-24x7","audit_url":"https://www.openagentskill.com/skills/xiangyue-zhang-auto-deep-researcher-24x7/audit","install_command":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","trust_score":87,"audit_score":89,"safety_score":77,"reason":"Matches task terms: deep, researcher","policy":"review"},{"slug":"aws-samples-bedrock-chat","name":"Bedrock Chat","url":"https://www.openagentskill.com/skills/aws-samples-bedrock-chat","audit_url":"https://www.openagentskill.com/skills/aws-samples-bedrock-chat/audit","install_command":"npx skills add aws-samples/bedrock-chat","trust_score":85,"audit_score":87,"safety_score":75,"reason":"Matches task terms: bedrock","policy":"review"},{"slug":"alibaba-nlp-deepresearch","name":"DeepResearch","url":"https://www.openagentskill.com/skills/alibaba-nlp-deepresearch","audit_url":"https://www.openagentskill.com/skills/alibaba-nlp-deepresearch/audit","install_command":"npx skills add Alibaba-NLP/DeepResearch","trust_score":78,"audit_score":89,"safety_score":77,"reason":"Matches task terms: deep","policy":"review"},{"slug":"deepspeedai-deepspeed","name":"DeepSpeed","url":"https://www.openagentskill.com/skills/deepspeedai-deepspeed","audit_url":"https://www.openagentskill.com/skills/deepspeedai-deepspeed/audit","install_command":"npx skills add deepspeedai/DeepSpeed","trust_score":90,"audit_score":92,"safety_score":80,"reason":"Matches task terms: deep","policy":"review"}],"outcome_feedback":{"event_id":"resolve_92322404-d70f-41ec-969f-352d9776b222","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_92322404-d70f-41ec-969f-352d9776b222","skill_slug":"aws-samples-amazon-bedrock-samples","task":"Use Sample Bedrock Deep Researcher","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."},"dry_run_payload":{"event_id":"resolve_92322404-d70f-41ec-969f-352d9776b222","skill_slug":"aws-samples-amazon-bedrock-samples","task":"Use Sample Bedrock Deep Researcher","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.","dry_run":true},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz outcome \"resolve_92322404-d70f-41ec-969f-352d9776b222\" --skill \"aws-samples-amazon-bedrock-samples\" --task \"Use Sample Bedrock Deep Researcher\" --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/aws-samples-amazon-bedrock-samples/audit","Fetch the pre-install eval: https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","Do not auto-install yet. Ask for human review before running: npx skills add aws-samples/amazon-bedrock-samples","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_92322404-d70f-41ec-969f-352d9776b222."],"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 Sample Bedrock Deep Researcher","agent":"codex","best_skill":{"slug":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","description":"This repository contains examples for customers to get started using the Amazon Bedrock Service. 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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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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/aws-samples-amazon-bedrock-samples/install","ready":true,"review_required":true,"auto_install_allowed":false,"policy":"review"},"why_recommended":["Matches task terms: bedrock","Useful GitHub adoption: 1,444 stars","Install handoff is available","Repository freshness signal is available","Registry match score 30","Primary pick for RAG and knowledge","85/100 OpenAgentSkill Trust Score v5","89/100 audit score"],"trust_score_v5":{"score":85,"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":["85/100 Trust Score v5","88/100 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installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v3","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"],"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":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"suited_agents":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add aws-samples/amazon-bedrock-samples","trust_score":85,"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."]},"best_for":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"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"],"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":"1.4K GitHub stars","repoActivity":"1.4K stars, 688 forks","lastPushed":"3mo since push","license":"MIT-0","repository":"https://github.com/aws-samples/amazon-bedrock-samples","install":"npx skills add aws-samples/amazon-bedrock-samples","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Usable 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review."},"best_for":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"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"]},"trust_score_v3":{"score":88,"tier":"production","label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"1.4K GitHub stars","repoActivity":"1.4K stars, 688 forks","lastPushed":"3mo since push","license":"MIT-0","repository":"https://github.com/aws-samples/amazon-bedrock-samples","install":"npx skills add aws-samples/amazon-bedrock-samples","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"agent_compatibility":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"risk":{"level":"low","label":"Low metadata risk","notes":["Documentation summary is thin"]}},"trust_score_v2":{"score":88,"tier":"production","label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"1.4K GitHub stars","repoActivity":"1.4K stars, 688 forks","lastPushed":"3mo since push","license":"MIT-0","repository":"https://github.com/aws-samples/amazon-bedrock-samples","install":"npx skills add aws-samples/amazon-bedrock-samples","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"agent_compatibility":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"risk":{"level":"low","label":"Low metadata risk","notes":["Documentation summary is thin"]}},"risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"73/100 Review before install","trust":"88/100 Production candidate","notes":["Documentation summary is thin"]},"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","73/100 agent safety score"]},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","description":"This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models","category":"rag-knowledge","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","repository":"https://github.com/aws-samples/amazon-bedrock-samples","github_repo":"aws-samples/amazon-bedrock-samples"},"suited_tasks":["RAG and knowledge workflows","LangChain teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Read user messages","Find relevant knowledge"],"suited_agents":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI","LangChain","CLI"],"install":{"command":"npx skills add aws-samples/amazon-bedrock-samples","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install aws-samples-amazon-bedrock-samples"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Amazon Bedrock Samples\" agent skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" as a Claude Code skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" from https://github.com/aws-samples/amazon-bedrock-samples 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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/aws-samples-amazon-bedrock-samples/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/aws-samples-amazon-bedrock-samples"},"trust":{"score":88,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"1.4K GitHub stars","repoActivity":"1.4K stars, 688 forks","lastPushed":"3mo since push","license":"MIT-0","repository":"https://github.com/aws-samples/amazon-bedrock-samples","install":"npx skills add aws-samples/amazon-bedrock-samples","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","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":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"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":89,"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":91,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","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 Sample Bedrock Deep Researcher","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: 89/100 Safe to try","Safety: 73/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"aws-samples-amazon-bedrock-samples (Amazon Bedrock 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notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","api":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples","audit":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install","manifest":"https://www.openagentskill.com/api/registry/manifest/aws-samples-amazon-bedrock-samples"}},"agent_contract":{"version":"openagentskill-resolve-contract-v2","input_task":"Use Sample Bedrock Deep Researcher","recommended_skill_slug":"aws-samples-amazon-bedrock-samples","recommended_skill_name":"Amazon Bedrock Samples","install_command":"npx skills add aws-samples/amazon-bedrock-samples","install_policy":"review","auto_install_allowed":false,"human_review_required":true,"audit_url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","eval_url":"https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","skill_api_url":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples","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 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try","safety_tier":"Reviewed","safety":"77/100 Review before install","trust":"87/100 Production candidate","notes":["Documentation summary is thin"]}},{"slug":"aws-samples-bedrock-chat","name":"Bedrock Chat","url":"https://www.openagentskill.com/skills/aws-samples-bedrock-chat","install_command":"npx skills add aws-samples/bedrock-chat","trust_score":85,"audit_score":87,"safety_score":75,"why_consider":"Matches task terms: bedrock","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"75/100 Review before install","trust":"85/100 Strong shortlist","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"alibaba-nlp-deepresearch","name":"DeepResearch","url":"https://www.openagentskill.com/skills/alibaba-nlp-deepresearch","install_command":"npx skills add Alibaba-NLP/DeepResearch","trust_score":78,"audit_score":89,"safety_score":77,"why_consider":"Matches task terms: deep","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"77/100 Review before install","trust":"78/100 Strong shortlist","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Recent failure rate is elevated: 100%","1 failed agent outcome(s) reported","Agent Proven outcomes: Early agent signal: 0% success from 1 agent outcomes"]}},{"slug":"deepspeedai-deepspeed","name":"DeepSpeed","url":"https://www.openagentskill.com/skills/deepspeedai-deepspeed","install_command":"npx skills add deepspeedai/DeepSpeed","trust_score":90,"audit_score":92,"safety_score":80,"why_consider":"Matches task terms: deep","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"80/100 Review before install","trust":"90/100 Production candidate","notes":["Documentation summary is thin"]}}],"decision_packet":{"version":"openagentskill-agent-decision-packet-v1","task":"Use Sample Bedrock Deep Researcher","agent":"codex","selected_skill":{"slug":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","api_url":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples","audit_url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","repository":"https://github.com/aws-samples/amazon-bedrock-samples"},"suited_tasks":["RAG and knowledge workflows","LangChain teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Read user messages","Find relevant knowledge"],"suited_agents":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI","LangChain","CLI"],"install":{"command":"npx skills add aws-samples/amazon-bedrock-samples","target":"codex","label":"Codex install 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human review","Sensitive private data before reviewing repository code, license, and permission surface"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":86,"status":"pass","detail":"1.4K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":83,"status":"pass","detail":"1.4K stars, 688 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"status":"pass","detail":"3mo since push"},{"id":"license","label":"License clarity","score":86,"status":"pass","detail":"MIT-0"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"status":"info","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 aws-samples/amazon-bedrock-samples"},{"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":86,"status":"pass","detail":"filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"status":"pass","detail":"https://github.com/aws-samples/amazon-bedrock-samples"},{"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":"73/100 Review before install","trust":"88/100 Production candidate","safety_tier":"Reviewed","notes":["Documentation summary is thin"],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security 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candidate","notes":["Documentation summary is thin"]}},{"slug":"aws-samples-bedrock-chat","name":"Bedrock Chat","url":"https://www.openagentskill.com/skills/aws-samples-bedrock-chat","install_command":"npx skills add aws-samples/bedrock-chat","trust_score":85,"audit_score":87,"safety_score":75,"why_consider":"Matches task terms: bedrock","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"75/100 Review before install","trust":"85/100 Strong shortlist","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"alibaba-nlp-deepresearch","name":"DeepResearch","url":"https://www.openagentskill.com/skills/alibaba-nlp-deepresearch","install_command":"npx skills add Alibaba-NLP/DeepResearch","trust_score":78,"audit_score":89,"safety_score":77,"why_consider":"Matches task terms: deep","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"77/100 Review before install","trust":"78/100 Strong shortlist","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Recent failure rate is elevated: 100%","1 failed agent outcome(s) reported","Agent Proven outcomes: Early agent signal: 0% success from 1 agent outcomes"]}},{"slug":"deepspeedai-deepspeed","name":"DeepSpeed","url":"https://www.openagentskill.com/skills/deepspeedai-deepspeed","install_command":"npx skills add deepspeedai/DeepSpeed","trust_score":90,"audit_score":92,"safety_score":80,"why_consider":"Matches task terms: deep","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"80/100 Review before install","trust":"90/100 Production candidate","notes":["Documentation summary is 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\"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 Amazon Bedrock Samples for: Use Sample Bedrock Deep Researcher\nReview audit: https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit\nAsk for human approval before installing: npx skills add aws-samples/amazon-bedrock-samples\nIf the audit or policy warnings are unacceptable, choose one of the alternatives."},"recommendation_lanes":{"best_match":{"rank":1,"match_score":30,"raw_match_score":279,"semantic_relevance":30,"skill":{"slug":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","description":"This repository contains examples for customers to get started using the Amazon Bedrock 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This contains examples for all available foundational models","category":"rag-knowledge","github_stars":1444,"created_at":"2026-05-24T14:00:49.329076+00:00","updated_at":"2026-06-01T17:54:43+00:00","repository":"https://github.com/aws-samples/amazon-bedrock-samples","github_repo":"aws-samples/amazon-bedrock-samples"},"recommendation_reasons":["Matches task terms: bedrock","Useful GitHub adoption: 1,444 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":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"customer-support","title":"Customer 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has no obvious high-risk pattern"],"warnings":["Documentation summary is thin"],"evidence":{"stars":"1.4K GitHub stars","repoActivity":"1.4K stars, 688 forks","lastPushed":"3mo since push","license":"MIT-0","repository":"https://github.com/aws-samples/amazon-bedrock-samples","install":"npx skills add aws-samples/amazon-bedrock-samples","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add aws-samples/amazon-bedrock-samples","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":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"low","label":"Low metadata risk","notes":["Documentation summary is thin"]},"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":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"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"]},"trust_v5":{"version":"trust-score-v5","score":85,"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":["85/100 Trust Score v5","88/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Low metadata risk"],"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":86,"weight":0.13,"status":"pass","detail":"1.4K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":83,"weight":0.08,"status":"pass","detail":"1.4K stars, 688 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-0"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"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 skills add aws-samples/amazon-bedrock-samples"},{"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":86,"weight":0.07,"status":"pass","detail":"filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/aws-samples/amazon-bedrock-samples"},{"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":"1.4K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"1.4K stars, 688 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"3mo since push"},{"status":"pass","label":"License clarity","detail":"MIT-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 skills add aws-samples/amazon-bedrock-samples"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/aws-samples/amazon-bedrock-samples"},{"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":"pass","label":"OpenAgentSkill usage","detail":"5 views, 0 install copies"},{"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","Meaningful 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","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"1.4K GitHub stars","repoActivity":"1.4K stars, 688 forks","lastPushed":"3mo since push","license":"MIT-0","repository":"https://github.com/aws-samples/amazon-bedrock-samples","install":"npx skills add aws-samples/amazon-bedrock-samples","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"agent_install_candidate"},"installReadiness":{"ready":true,"command":"npx skills add aws-samples/amazon-bedrock-samples","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":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"low","label":"Low metadata risk","notes":["Documentation summary is thin"]},"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-v3","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"],"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":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"suited_agents":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add aws-samples/amazon-bedrock-samples","trust_score":85,"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":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"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":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":89,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"safety":{"score":73,"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","73/100 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","73/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for RAG and knowledge","role":"Primary pick","best_for":["RAG and knowledge workflows","LangChain 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 RAG and knowledge 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 aws-samples/amazon-bedrock-samples","value":"Install the \"Amazon Bedrock Samples\" agent skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 Amazon Bedrock Samples 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-v0.2.1/openagentskill-0.2.1.tgz install aws-samples-amazon-bedrock-samples","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 \"Amazon Bedrock Samples\" agent skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" as a Claude Code skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" from https://github.com/aws-samples/amazon-bedrock-samples 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","description":"This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models","category":"rag-knowledge","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","repository":"https://github.com/aws-samples/amazon-bedrock-samples","github_repo":"aws-samples/amazon-bedrock-samples"},"suited_tasks":["RAG and knowledge workflows","LangChain teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Read user messages","Find relevant knowledge"],"suited_agents":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI","LangChain","CLI"],"install":{"command":"npx skills add aws-samples/amazon-bedrock-samples","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install aws-samples-amazon-bedrock-samples"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Amazon Bedrock Samples\" agent skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" as a Claude Code skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" from https://github.com/aws-samples/amazon-bedrock-samples 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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/aws-samples-amazon-bedrock-samples/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/aws-samples-amazon-bedrock-samples"},"trust":{"score":88,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"1.4K GitHub stars","repoActivity":"1.4K stars, 688 forks","lastPushed":"3mo since push","license":"MIT-0","repository":"https://github.com/aws-samples/amazon-bedrock-samples","install":"npx skills add aws-samples/amazon-bedrock-samples","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","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":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"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":89,"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":91,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","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 Sample Bedrock Deep Researcher","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: 89/100 Safe to try","Safety: 73/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"aws-samples-amazon-bedrock-samples (Amazon Bedrock Samples)","install_command":"npx skills add aws-samples/amazon-bedrock-samples","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":"aws-samples-amazon-bedrock-samples","task":"Use Sample Bedrock Deep Researcher","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/aws-samples-amazon-bedrock-samples","api":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples","audit":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install","manifest":"https://www.openagentskill.com/api/registry/manifest/aws-samples-amazon-bedrock-samples"}},"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"customer-support","title":"Customer support","url":"https://www.openagentskill.com/use-cases/customer-support"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"urls":{"web":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","api":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples","install_api":"https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install","audit":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/aws-samples-amazon-bedrock-samples?metric=audit","repository":"https://github.com/aws-samples/amazon-bedrock-samples"}},"safer_alternative":{"rank":5,"match_score":30,"raw_match_score":224.2,"semantic_relevance":30,"skill":{"slug":"deepspeedai-deepspeed","name":"DeepSpeed","description":"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.","category":"ml-automation","github_stars":42529,"created_at":"2026-06-16T10:02:51.653005+00:00","updated_at":"2026-06-16T02:06:04+00:00","repository":"https://github.com/deepspeedai/DeepSpeed","github_repo":"deepspeedai/DeepSpeed"},"recommendation_reasons":["Matches task terms: deep","Strong GitHub adoption: 42,529 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":"browser-automation","title":"Browser automation"},{"slug":"workflow-automation","title":"Workflow 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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":"43K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"43K stars, 4.9K 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":"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 skills add deepspeedai/DeepSpeed"},{"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/deepspeedai/DeepSpeed"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven 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metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/deepspeedai/DeepSpeed"},{"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","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"43K GitHub 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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":92,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"safety":{"score":80,"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","80/100 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","80/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Browser automation","role":"Primary pick","best_for":["Browser 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 Browser 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 deepspeedai/DeepSpeed","value":"Install the \"DeepSpeed\" agent skill from https://github.com/deepspeedai/DeepSpeed. 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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 DeepSpeed 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-v0.2.1/openagentskill-0.2.1.tgz install deepspeedai-deepspeed","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 \"DeepSpeed\" agent skill from https://github.com/deepspeedai/DeepSpeed. 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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 \"DeepSpeed\" as a Claude Code skill from https://github.com/deepspeedai/DeepSpeed. 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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 \"DeepSpeed\" from https://github.com/deepspeedai/DeepSpeed 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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":"deepspeedai-deepspeed","name":"DeepSpeed","description":"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.","category":"ml-automation","url":"https://www.openagentskill.com/skills/deepspeedai-deepspeed","repository":"https://github.com/deepspeedai/DeepSpeed","github_repo":"deepspeedai/DeepSpeed"},"suited_tasks":["Browser automation workflows","general agent builders","teams that value GitHub adoption signals","Navigate pages","Click and type safely","Check visual and DOM state","Move data between tools","Transform files"],"suited_agents":["Python","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add deepspeedai/DeepSpeed","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install deepspeedai-deepspeed"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"DeepSpeed\" agent skill from https://github.com/deepspeedai/DeepSpeed. 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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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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 \"DeepSpeed\" from https://github.com/deepspeedai/DeepSpeed 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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/deepspeedai-deepspeed/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/deepspeedai-deepspeed"},"trust":{"score":90,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"43K GitHub stars","repoActivity":"43K stars, 4.9K forks","lastPushed":"2mo since push","license":"Apache-2.0","repository":"https://github.com/deepspeedai/DeepSpeed","install":"npx skills add deepspeedai/DeepSpeed","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":["ml-automation","machine-learning","automation","ml-media","billion-parameters","compression"],"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":92,"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":"Design and creative production","scenario":"Multimodal 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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: 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 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\":\"labmlai-annotated-deep-learning-paper-implementations\",\"task\":\"Install Annotated Deep Learning Paper Implementations\",\"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 Annotated Deep Learning Paper Implementations 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-v0.2.1/openagentskill-0.2.1.tgz install labmlai-annotated-deep-learning-paper-implementations","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 \"Annotated Deep Learning Paper Implementations\" agent skill from https://github.com/labmlai/annotated_deep_learning_paper_implementations. 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: 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 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\":\"labmlai-annotated-deep-learning-paper-implementations\",\"task\":\"Install Annotated Deep Learning Paper Implementations\",\"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 \"Annotated Deep Learning Paper Implementations\" as a Claude Code skill from https://github.com/labmlai/annotated_deep_learning_paper_implementations. 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: 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 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\":\"labmlai-annotated-deep-learning-paper-implementations\",\"task\":\"Install Annotated Deep Learning Paper Implementations\",\"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 \"Annotated Deep Learning Paper Implementations\" from https://github.com/labmlai/annotated_deep_learning_paper_implementations 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: 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 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\":\"labmlai-annotated-deep-learning-paper-implementations\",\"task\":\"Install Annotated Deep Learning Paper Implementations\",\"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":"labmlai-annotated-deep-learning-paper-implementations","name":"Annotated Deep Learning Paper Implementations","description":"🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠","category":"ml-automation","url":"https://www.openagentskill.com/skills/labmlai-annotated-deep-learning-paper-implementations","repository":"https://github.com/labmlai/annotated_deep_learning_paper_implementations","github_repo":"labmlai/annotated_deep_learning_paper_implementations"},"suited_tasks":["Browser automation workflows","general agent builders","teams that value GitHub adoption signals","Navigate pages","Click and type safely","Check visual and DOM state","Move data between tools","Transform files"],"suited_agents":["Python","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add labmlai/annotated_deep_learning_paper_implementations","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install labmlai-annotated-deep-learning-paper-implementations"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Annotated Deep Learning Paper Implementations\" agent skill from https://github.com/labmlai/annotated_deep_learning_paper_implementations. 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Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Annotated Deep Learning Paper Implementations\" as a Claude Code skill from https://github.com/labmlai/annotated_deep_learning_paper_implementations. 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: 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 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\":\"labmlai-annotated-deep-learning-paper-implementations\",\"task\":\"Install Annotated Deep Learning Paper Implementations\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Report success only after the skill is installed and a minimal verification passes.","kind":"agent-prompt","steps":["Review DeepLearningExamples 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-v0.2.1/openagentskill-0.2.1.tgz install nvidia-deeplearningexamples","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 \"DeepLearningExamples\" agent skill from https://github.com/NVIDIA/DeepLearningExamples. 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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 \"DeepLearningExamples\" as a Claude Code skill from https://github.com/NVIDIA/DeepLearningExamples. 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: State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. 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\":\"nvidia-deeplearningexamples\",\"task\":\"Install DeepLearningExamples\",\"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 \"DeepLearningExamples\" from https://github.com/NVIDIA/DeepLearningExamples 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: State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. 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\":\"nvidia-deeplearningexamples\",\"task\":\"Install DeepLearningExamples\",\"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":"nvidia-deeplearningexamples","name":"DeepLearningExamples","description":"State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.","category":"media-automation","url":"https://www.openagentskill.com/skills/nvidia-deeplearningexamples","repository":"https://github.com/NVIDIA/DeepLearningExamples","github_repo":"NVIDIA/DeepLearningExamples"},"suited_tasks":["Browser automation workflows","general agent builders","teams that value GitHub adoption signals","Navigate pages","Click and type safely","Check visual and DOM state","Read media metadata","Convert formats"],"suited_agents":["Jupyter Notebook","Speech","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add NVIDIA/DeepLearningExamples","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install nvidia-deeplearningexamples"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"DeepLearningExamples\" agent skill from https://github.com/NVIDIA/DeepLearningExamples. 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Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"DeepLearningExamples\" from https://github.com/NVIDIA/DeepLearningExamples 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: State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. 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\":\"nvidia-deeplearningexamples\",\"task\":\"Install DeepLearningExamples\",\"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/nvidia-deeplearningexamples/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/nvidia-deeplearningexamples"},"trust":{"score":80,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"15K GitHub stars","repoActivity":"15K stars, 3.4K forks","lastPushed":"2y since push","license":"Unknown","repository":"https://github.com/NVIDIA/DeepLearningExamples","install":"npx skills add NVIDIA/DeepLearningExamples","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":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["media-automation","speech-recognition","voice","ml-media","computer-vision","deep-learning"],"known_risks":["License is unclear","Repository looks stale","Documentation summary is thin","Recent maintenance: 2y since push","License clarity: Unknown"]},"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":71,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Repository appears stale","Repository looks stale","Documentation summary is thin","Recent maintenance: 2y since push","License clarity: Unknown"]},"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":73,"label":"Strong"},"supply":{"track":"Design and creative production","scenario":"Multimodal media","maintenance":"2y since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that require actively maintained dependencies","production agents without a repository review","Repository looks stale","No OpenAgentSkill engagement data yet","License is unclear","Repository appears stale","Documentation summary is thin","Recent maintenance: 2y since push"],"agent_contract":{"task_input":"Use Sample Bedrock Deep Researcher","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 80/100 Strong shortlist","Audit: 71/100 Needs review","Safety: 59/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"nvidia-deeplearningexamples (DeepLearningExamples)","install_command":"npx skills add NVIDIA/DeepLearningExamples","risk_summary":"Needs review; 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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":86,"weight":0.13,"status":"pass","detail":"1.4K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":83,"weight":0.08,"status":"pass","detail":"1.4K stars, 688 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-0"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"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 skills add aws-samples/amazon-bedrock-samples"},{"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":86,"weight":0.07,"status":"pass","detail":"filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/aws-samples/amazon-bedrock-samples"},{"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":"1.4K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"1.4K stars, 688 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"3mo since push"},{"status":"pass","label":"License clarity","detail":"MIT-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 skills add aws-samples/amazon-bedrock-samples"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/aws-samples/amazon-bedrock-samples"},{"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":"pass","label":"OpenAgentSkill usage","detail":"5 views, 0 install copies"},{"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","Meaningful 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","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"1.4K GitHub stars","repoActivity":"1.4K stars, 688 forks","lastPushed":"3mo since push","license":"MIT-0","repository":"https://github.com/aws-samples/amazon-bedrock-samples","install":"npx skills add aws-samples/amazon-bedrock-samples","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"agent_install_candidate"},"installReadiness":{"ready":true,"command":"npx skills add aws-samples/amazon-bedrock-samples","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":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"low","label":"Low metadata risk","notes":["Documentation summary is thin"]},"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-v3","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"],"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":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"suited_agents":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add aws-samples/amazon-bedrock-samples","trust_score":85,"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":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"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":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":89,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"safety":{"score":73,"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","73/100 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","73/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for RAG and knowledge","role":"Primary pick","best_for":["RAG and knowledge workflows","LangChain 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 RAG and knowledge 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 aws-samples/amazon-bedrock-samples","value":"Install the \"Amazon Bedrock Samples\" agent skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 Amazon Bedrock Samples 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-v0.2.1/openagentskill-0.2.1.tgz install aws-samples-amazon-bedrock-samples","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 \"Amazon Bedrock Samples\" agent skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" as a Claude Code skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" from https://github.com/aws-samples/amazon-bedrock-samples 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","description":"This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models","category":"rag-knowledge","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","repository":"https://github.com/aws-samples/amazon-bedrock-samples","github_repo":"aws-samples/amazon-bedrock-samples"},"suited_tasks":["RAG and knowledge workflows","LangChain teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Read user messages","Find relevant knowledge"],"suited_agents":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI","LangChain","CLI"],"install":{"command":"npx skills add aws-samples/amazon-bedrock-samples","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install aws-samples-amazon-bedrock-samples"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Amazon Bedrock Samples\" agent skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" as a Claude Code skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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 \"Amazon Bedrock Samples\" from https://github.com/aws-samples/amazon-bedrock-samples 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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/aws-samples-amazon-bedrock-samples/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/aws-samples-amazon-bedrock-samples"},"trust":{"score":88,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"1.4K GitHub stars","repoActivity":"1.4K stars, 688 forks","lastPushed":"3mo since push","license":"MIT-0","repository":"https://github.com/aws-samples/amazon-bedrock-samples","install":"npx skills add aws-samples/amazon-bedrock-samples","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","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":["rag-knowledge","rag","retrieval","knowledge","amazon-bedrock","amazon-titan"],"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":89,"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":91,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","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 Sample Bedrock Deep Researcher","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: 89/100 Safe to try","Safety: 73/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"aws-samples-amazon-bedrock-samples (Amazon Bedrock Samples)","install_command":"npx skills add aws-samples/amazon-bedrock-samples","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":"aws-samples-amazon-bedrock-samples","task":"Use Sample Bedrock Deep Researcher","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/aws-samples-amazon-bedrock-samples","api":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples","audit":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install","manifest":"https://www.openagentskill.com/api/registry/manifest/aws-samples-amazon-bedrock-samples"}},"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"customer-support","title":"Customer support","url":"https://www.openagentskill.com/use-cases/customer-support"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"urls":{"web":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","api":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples","install_api":"https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install","audit":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/aws-samples-amazon-bedrock-samples?metric=audit","repository":"https://github.com/aws-samples/amazon-bedrock-samples"}},"alternatives":[{"rank":2,"match_score":42,"raw_match_score":278.6,"semantic_relevance":42,"skill":{"slug":"xiangyue-zhang-auto-deep-researcher-24x7","name":"Auto Deep Researcher 24x7","description":"🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.","category":"research","github_stars":1249,"created_at":"2026-05-23T07:49:07.926422+00:00","updated_at":"2026-06-03T03:18:50+00:00","repository":"https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7","github_repo":"Xiangyue-Zhang/auto-deep-researcher-24x7"},"recommendation_reasons":["Matches task terms: deep, researcher","Useful GitHub adoption: 1,249 stars","Install handoff is available","Repository freshness signal is available","Registry match score 42"],"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":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor","Python"],"install":{"ready":true,"command":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":1249,"starsLabel":"1.2K","forks":101,"license":"Apache-2.0","qualityScore":90,"trustScore":87,"auditScore":89},"maintenance":{"status":"active","label":"3mo since push","daysSincePush":81,"lastPushedAt":"2026-06-03T03:18:50+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","requiresReview":true,"notes":["Documentation summary is thin"]},"coverageTags":["Research","Research agents","deep-research","agent","ai-agent","autonomous-agent","claude-code","deep-learning"]},"quality":{"score":90,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"1.2K","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":86,"weight":0.13,"status":"pass","detail":"1.2K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":77,"weight":0.08,"status":"info","detail":"1.2K stars, 101 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":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 skills add Xiangyue-Zhang/auto-deep-researcher-24x7"},{"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/Xiangyue-Zhang/auto-deep-researcher-24x7"},{"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":"1.2K GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"1.2K stars, 101 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":"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 skills add Xiangyue-Zhang/auto-deep-researcher-24x7"},{"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/Xiangyue-Zhang/auto-deep-researcher-24x7"},{"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","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["Documentation summary is thin"],"evidence":{"stars":"1.2K GitHub stars","repoActivity":"1.2K stars, 101 forks","lastPushed":"3mo since push","license":"Apache-2.0","repository":"https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7","install":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","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"},"installReadiness":{"ready":true,"command":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","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":["Python","Research Agent","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"low","label":"Low metadata risk","notes":["Documentation summary is thin"]},"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":["research","deep-research","agent","ai-agent","autonomous-agent","claude-code"],"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"]},"trust_v5":{"version":"trust-score-v5","score":84,"base_score":87,"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","87/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Low metadata risk"],"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":86,"weight":0.13,"status":"pass","detail":"1.2K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":77,"weight":0.08,"status":"info","detail":"1.2K stars, 101 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":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 skills add Xiangyue-Zhang/auto-deep-researcher-24x7"},{"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/Xiangyue-Zhang/auto-deep-researcher-24x7"},{"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":"1.2K GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"1.2K stars, 101 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":"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 skills add Xiangyue-Zhang/auto-deep-researcher-24x7"},{"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/Xiangyue-Zhang/auto-deep-researcher-24x7"},{"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","Meaningful 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","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"1.2K GitHub stars","repoActivity":"1.2K stars, 101 forks","lastPushed":"3mo since push","license":"Apache-2.0","repository":"https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7","install":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","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","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"agent_install_candidate"},"installReadiness":{"ready":true,"command":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","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":["Python","Research Agent","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"low","label":"Low metadata risk","notes":["Documentation summary is thin"]},"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-v3","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"],"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":["research","deep-research","agent","ai-agent","autonomous-agent","claude-code"],"suited_agents":["Python","Research Agent","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","trust_score":84,"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":["research","deep-research","agent","ai-agent","autonomous-agent","claude-code"],"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":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":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":89,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"safety":{"score":77,"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","77/100 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","77/100 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 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 Xiangyue-Zhang/auto-deep-researcher-24x7","value":"Install the \"Auto Deep Researcher 24x7\" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7. 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 autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory. 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\":\"xiangyue-zhang-auto-deep-researcher-24x7\",\"task\":\"Install Auto Deep Researcher 24x7\",\"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 Auto Deep Researcher 24x7 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-v0.2.1/openagentskill-0.2.1.tgz install xiangyue-zhang-auto-deep-researcher-24x7","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 \"Auto Deep Researcher 24x7\" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7. 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 autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory. 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\":\"xiangyue-zhang-auto-deep-researcher-24x7\",\"task\":\"Install Auto Deep Researcher 24x7\",\"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 \"Auto Deep Researcher 24x7\" as a Claude Code skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7. 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 autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory. 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\":\"xiangyue-zhang-auto-deep-researcher-24x7\",\"task\":\"Install Auto Deep Researcher 24x7\",\"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 \"Auto Deep Researcher 24x7\" from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7 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 autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory. 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\":\"xiangyue-zhang-auto-deep-researcher-24x7\",\"task\":\"Install Auto Deep Researcher 24x7\",\"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":"xiangyue-zhang-auto-deep-researcher-24x7","name":"Auto Deep Researcher 24x7","description":"🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.","category":"research","url":"https://www.openagentskill.com/skills/xiangyue-zhang-auto-deep-researcher-24x7","repository":"https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7","github_repo":"Xiangyue-Zhang/auto-deep-researcher-24x7"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Inspect source files","Explain architecture"],"suited_agents":["Python","Research Agent","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install xiangyue-zhang-auto-deep-researcher-24x7"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Auto Deep Researcher 24x7\" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7. 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 autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory. 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\":\"xiangyue-zhang-auto-deep-researcher-24x7\",\"task\":\"Install Auto Deep Researcher 24x7\",\"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 \"Auto Deep Researcher 24x7\" as a Claude Code skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7. 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 autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory. 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\":\"xiangyue-zhang-auto-deep-researcher-24x7\",\"task\":\"Install Auto Deep Researcher 24x7\",\"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 \"Auto Deep Researcher 24x7\" from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7 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 autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory. 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\":\"xiangyue-zhang-auto-deep-researcher-24x7\",\"task\":\"Install Auto Deep Researcher 24x7\",\"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/xiangyue-zhang-auto-deep-researcher-24x7/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/xiangyue-zhang-auto-deep-researcher-24x7"},"trust":{"score":87,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"1.2K GitHub stars","repoActivity":"1.2K stars, 101 forks","lastPushed":"3mo since push","license":"Apache-2.0","repository":"https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7","install":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","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":["research","deep-research","agent","ai-agent","autonomous-agent","claude-code"],"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":89,"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":90,"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 OpenAgentSkill engagement data yet","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 Sample Bedrock Deep Researcher","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"review","minimum_review_before_use":["Trust: 87/100 Production candidate","Audit: 89/100 Safe to try","Safety: 77/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"xiangyue-zhang-auto-deep-researcher-24x7 (Auto Deep Researcher 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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":87,"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"}],"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 Customer support","role":"Primary pick","best_for":["Customer support workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Customer support 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 aws-samples/bedrock-chat","value":"Install the \"Bedrock Chat\" agent skill from https://github.com/aws-samples/bedrock-chat. 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: AWS-native chatbot using Bedrock 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\":\"aws-samples-bedrock-chat\",\"task\":\"Install Bedrock Chat\",\"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 Bedrock Chat 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-v0.2.1/openagentskill-0.2.1.tgz install aws-samples-bedrock-chat","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 \"Bedrock Chat\" agent skill from https://github.com/aws-samples/bedrock-chat. 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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: AWS-native chatbot using Bedrock 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\":\"aws-samples-bedrock-chat\",\"task\":\"Install Bedrock Chat\",\"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 \"Bedrock Chat\" from https://github.com/aws-samples/bedrock-chat 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: AWS-native chatbot using Bedrock 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\":\"aws-samples-bedrock-chat\",\"task\":\"Install Bedrock Chat\",\"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":"aws-samples-bedrock-chat","name":"Bedrock Chat","description":"AWS-native chatbot using Bedrock","category":"support-automation","url":"https://www.openagentskill.com/skills/aws-samples-bedrock-chat","repository":"https://github.com/aws-samples/bedrock-chat","github_repo":"aws-samples/bedrock-chat"},"suited_tasks":["Customer support workflows","Claude Code teams","teams that value GitHub adoption signals","Read user messages","Find relevant knowledge","Prepare clear next steps","Navigate pages","Click and type safely"],"suited_agents":["TypeScript","Chatbot","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add aws-samples/bedrock-chat","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install aws-samples-bedrock-chat"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Bedrock Chat\" agent skill from https://github.com/aws-samples/bedrock-chat. 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Skill purpose: AWS-native chatbot using Bedrock 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\":\"aws-samples-bedrock-chat\",\"task\":\"Install Bedrock Chat\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Treat this as discovery material, not an executable recommendation.","recommendedAction":"Choose a stronger alternative or inspect the source manually before any install attempt.","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":["56/100 Trust Score v5","78/100 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 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then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","77/100 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 Alibaba-NLP/DeepResearch","value":"Install the \"DeepResearch\" agent skill from https://github.com/Alibaba-NLP/DeepResearch. 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: Tongyi Deep Research, the Leading Open-source Deep Research Agent 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\":\"alibaba-nlp-deepresearch\",\"task\":\"Install DeepResearch\",\"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 DeepResearch 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-v0.2.1/openagentskill-0.2.1.tgz install alibaba-nlp-deepresearch","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 \"DeepResearch\" agent skill from https://github.com/Alibaba-NLP/DeepResearch. 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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 \"DeepResearch\" as a Claude Code skill from https://github.com/Alibaba-NLP/DeepResearch. 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: Tongyi Deep Research, the Leading Open-source Deep Research Agent 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\":\"alibaba-nlp-deepresearch\",\"task\":\"Install DeepResearch\",\"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 \"DeepResearch\" from https://github.com/Alibaba-NLP/DeepResearch 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: Tongyi Deep Research, the Leading Open-source Deep Research Agent 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\":\"alibaba-nlp-deepresearch\",\"task\":\"Install DeepResearch\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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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: Tongyi Deep Research, the Leading Open-source Deep Research Agent 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\":\"alibaba-nlp-deepresearch\",\"task\":\"Install DeepResearch\",\"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 \"DeepResearch\" from https://github.com/Alibaba-NLP/DeepResearch 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: Tongyi Deep Research, the Leading Open-source Deep Research Agent 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\":\"alibaba-nlp-deepresearch\",\"task\":\"Install DeepResearch\",\"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/alibaba-nlp-deepresearch/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/alibaba-nlp-deepresearch"},"trust":{"score":78,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"20K GitHub stars","repoActivity":"20K stars, 1.5K forks","lastPushed":"6mo since push","license":"Apache-2.0","repository":"https://github.com/Alibaba-NLP/DeepResearch","install":"npx skills add Alibaba-NLP/DeepResearch","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"Early agent signal: 0% success from 1 agent 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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":"browser-automation","title":"Browser 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agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"43K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"43K stars, 4.9K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2mo 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 skills add deepspeedai/DeepSpeed"},{"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/deepspeedai/DeepSpeed"},{"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","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"43K GitHub stars","repoActivity":"43K stars, 4.9K forks","lastPushed":"2mo since push","license":"Apache-2.0","repository":"https://github.com/deepspeedai/DeepSpeed","install":"npx skills add deepspeedai/DeepSpeed","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","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"agent_install_candidate"},"installReadiness":{"ready":true,"command":"npx skills add deepspeedai/DeepSpeed","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","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"low","label":"Low metadata risk","notes":["Documentation summary is thin"]},"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-v3","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"],"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","billion-parameters","compression"],"suited_agents":["Python","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add deepspeedai/DeepSpeed","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":["ml-automation","machine-learning","automation","ml-media","billion-parameters","compression"],"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":92,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"safety":{"score":80,"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","80/100 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","80/100 agent safety score"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Browser automation","role":"Primary pick","best_for":["Browser 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 Browser 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 deepspeedai/DeepSpeed","value":"Install the \"DeepSpeed\" agent skill from https://github.com/deepspeedai/DeepSpeed. 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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 DeepSpeed 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-v0.2.1/openagentskill-0.2.1.tgz install deepspeedai-deepspeed","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 \"DeepSpeed\" agent skill from https://github.com/deepspeedai/DeepSpeed. 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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 \"DeepSpeed\" as a Claude Code skill from https://github.com/deepspeedai/DeepSpeed. 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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 \"DeepSpeed\" from https://github.com/deepspeedai/DeepSpeed 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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":"deepspeedai-deepspeed","name":"DeepSpeed","description":"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.","category":"ml-automation","url":"https://www.openagentskill.com/skills/deepspeedai-deepspeed","repository":"https://github.com/deepspeedai/DeepSpeed","github_repo":"deepspeedai/DeepSpeed"},"suited_tasks":["Browser automation workflows","general agent builders","teams that value GitHub adoption signals","Navigate pages","Click and type safely","Check visual and DOM state","Move data between tools","Transform files"],"suited_agents":["Python","Machine Learning","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add deepspeedai/DeepSpeed","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install deepspeedai-deepspeed"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"DeepSpeed\" agent skill from https://github.com/deepspeedai/DeepSpeed. 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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 \"DeepSpeed\" as a Claude Code skill from https://github.com/deepspeedai/DeepSpeed. 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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 \"DeepSpeed\" from https://github.com/deepspeedai/DeepSpeed 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: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. 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\":\"deepspeedai-deepspeed\",\"task\":\"Install DeepSpeed\",\"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/deepspeedai-deepspeed/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/deepspeedai-deepspeed"},"trust":{"score":90,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"43K GitHub stars","repoActivity":"43K stars, 4.9K forks","lastPushed":"2mo since push","license":"Apache-2.0","repository":"https://github.com/deepspeedai/DeepSpeed","install":"npx skills add deepspeedai/DeepSpeed","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":["ml-automation","machine-learning","automation","ml-media","billion-parameters","compression"],"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":92,"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":"Design and creative production","scenario":"Multimodal media","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","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 Sample Bedrock Deep Researcher","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: 92/100 Safe to try","Safety: 80/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"deepspeedai-deepspeed (DeepSpeed)","install_command":"npx skills add deepspeedai/DeepSpeed","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":"deepspeedai-deepspeed","task":"Use Sample Bedrock Deep Researcher","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/deepspeedai-deepspeed","api":"https://www.openagentskill.com/api/agent/skills/deepspeedai-deepspeed","audit":"https://www.openagentskill.com/skills/deepspeedai-deepspeed/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=deepspeedai-deepspeed&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/deepspeedai-deepspeed/install","manifest":"https://www.openagentskill.com/api/registry/manifest/deepspeedai-deepspeed"}},"use_cases":[{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"urls":{"web":"https://www.openagentskill.com/skills/deepspeedai-deepspeed","api":"https://www.openagentskill.com/api/agent/skills/deepspeedai-deepspeed","install_api":"https://www.openagentskill.com/api/skills/deepspeedai-deepspeed/install","audit":"https://www.openagentskill.com/skills/deepspeedai-deepspeed/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=deepspeedai-deepspeed&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","badge":"https://www.openagentskill.com/api/badge/deepspeedai-deepspeed?metric=audit","repository":"https://github.com/deepspeedai/DeepSpeed"}}],"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":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","repository":"https://github.com/aws-samples/amazon-bedrock-samples"},"install":{"target":"codex","label":"Codex install prompt","kind":"agent-prompt","command":"npx skills add aws-samples/amazon-bedrock-samples","value":"Install the \"Amazon Bedrock Samples\" agent skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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/aws-samples-amazon-bedrock-samples/install"},"copy_paste_prompt":"Task: Use Sample Bedrock Deep Researcher\nUse Amazon Bedrock Samples from https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples.\nReview the audit first: https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit\nReview the eval first: https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install\nInstall command: npx skills add aws-samples/amazon-bedrock-samples\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%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium"},{"step":2,"label":"Fetch pre-install eval","method":"GET","url":"https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium"},{"step":3,"label":"Fetch selected skill profile","method":"GET","url":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples"},{"step":4,"label":"Fetch install handoff","method":"GET","url":"https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install"},{"step":5,"label":"Review audit","method":"GET","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit"},{"step":6,"label":"Report outcome","method":"POST","url":"https://www.openagentskill.com/api/agent/outcome","body":{"event_id":"resolve_92322404-d70f-41ec-969f-352d9776b222","skill_slug":"aws-samples-amazon-bedrock-samples","task":"Use Sample Bedrock Deep Researcher","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."}}],"review_checklist":["Safety tier: Reviewed","Safety score: 73/100 Review before install","Audit score: 89/100 Safe to try","Trust score: 85/100 Review then install","Readiness: 100/100 Production-ready","Documentation summary is thin","Documentation summary is thin"],"fallback_strategy":[{"slug":"xiangyue-zhang-auto-deep-researcher-24x7","name":"Auto Deep Researcher 24x7","reason":"Matches task terms: deep, researcher","url":"https://www.openagentskill.com/skills/xiangyue-zhang-auto-deep-researcher-24x7","install_api":"https://www.openagentskill.com/api/skills/xiangyue-zhang-auto-deep-researcher-24x7/install"},{"slug":"aws-samples-bedrock-chat","name":"Bedrock Chat","reason":"Matches task terms: bedrock","url":"https://www.openagentskill.com/skills/aws-samples-bedrock-chat","install_api":"https://www.openagentskill.com/api/skills/aws-samples-bedrock-chat/install"},{"slug":"alibaba-nlp-deepresearch","name":"DeepResearch","reason":"Matches task terms: deep","url":"https://www.openagentskill.com/skills/alibaba-nlp-deepresearch","install_api":"https://www.openagentskill.com/api/skills/alibaba-nlp-deepresearch/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_92322404-d70f-41ec-969f-352d9776b222"}},"agent_handoff":{"version":"openagentskill-agent-handoff-v1","mode":"resolve_compare_review_install","task":"Use Sample Bedrock Deep Researcher","agent":"codex","selected_skill":{"slug":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","api_url":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples","audit_url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","eval_url":"https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium","repository":"https://github.com/aws-samples/amazon-bedrock-samples"},"install_plan":{"command":"npx skills add aws-samples/amazon-bedrock-samples","target":"codex","label":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Amazon Bedrock Samples\" agent skill from https://github.com/aws-samples/amazon-bedrock-samples. 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: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models 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\":\"aws-samples-amazon-bedrock-samples\",\"task\":\"Install Amazon Bedrock Samples\",\"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/aws-samples-amazon-bedrock-samples/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%20Sample%20Bedrock%20Deep%20Researcher&agent=codex&max_risk=medium"},{"step":2,"label":"Fetch pre-install eval","method":"GET","url":"https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium"},{"step":3,"label":"Fetch selected skill profile","method":"GET","url":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples"},{"step":4,"label":"Fetch install handoff","method":"GET","url":"https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install"},{"step":5,"label":"Review audit","method":"GET","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit"},{"step":6,"label":"Report outcome","method":"POST","url":"https://www.openagentskill.com/api/agent/outcome","body":{"event_id":"resolve_92322404-d70f-41ec-969f-352d9776b222","skill_slug":"aws-samples-amazon-bedrock-samples","task":"Use Sample Bedrock Deep Researcher","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."}}],"platform_templates":[{"id":"codex","name":"Codex","surface":"Coding agent / local workspace","copy_prompt":"Task: Use Sample Bedrock Deep Researcher\nSelected skill: Amazon Bedrock Samples (aws-samples-amazon-bedrock-samples)\nSkill URL: https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples\nAudit URL: https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit\nEval URL: https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install\nInstall command: npx skills add aws-samples/amazon-bedrock-samples\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- Auto Deep Researcher 24x7 (xiangyue-zhang-auto-deep-researcher-24x7): https://www.openagentskill.com/skills/xiangyue-zhang-auto-deep-researcher-24x7\n- Bedrock Chat (aws-samples-bedrock-chat): https://www.openagentskill.com/skills/aws-samples-bedrock-chat\n- DeepResearch (alibaba-nlp-deepresearch): https://www.openagentskill.com/skills/alibaba-nlp-deepresearch\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 Sample Bedrock Deep Researcher\nSelected skill: Amazon Bedrock Samples (aws-samples-amazon-bedrock-samples)\nSkill URL: https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples\nAudit URL: https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit\nEval URL: https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install\nInstall command: npx skills add aws-samples/amazon-bedrock-samples\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- Auto Deep Researcher 24x7 (xiangyue-zhang-auto-deep-researcher-24x7): https://www.openagentskill.com/skills/xiangyue-zhang-auto-deep-researcher-24x7\n- Bedrock Chat (aws-samples-bedrock-chat): https://www.openagentskill.com/skills/aws-samples-bedrock-chat\n- DeepResearch (alibaba-nlp-deepresearch): https://www.openagentskill.com/skills/alibaba-nlp-deepresearch\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 Sample Bedrock Deep Researcher\nSelected skill: Amazon Bedrock Samples (aws-samples-amazon-bedrock-samples)\nSkill URL: https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples\nAudit URL: https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit\nEval URL: https://www.openagentskill.com/api/agent/evals?slug=aws-samples-amazon-bedrock-samples&task=Use%20Sample%20Bedrock%20Deep%20Researcher&max_risk=medium\nInstall handoff: https://www.openagentskill.com/api/skills/aws-samples-amazon-bedrock-samples/install\nInstall command: npx skills add aws-samples/amazon-bedrock-samples\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- Auto Deep Researcher 24x7 (xiangyue-zhang-auto-deep-researcher-24x7): https://www.openagentskill.com/skills/xiangyue-zhang-auto-deep-researcher-24x7\n- Bedrock Chat (aws-samples-bedrock-chat): https://www.openagentskill.com/skills/aws-samples-bedrock-chat\n- DeepResearch (alibaba-nlp-deepresearch): https://www.openagentskill.com/skills/alibaba-nlp-deepresearch\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: 73/100 Review before install","Audit score: 89/100 Safe to try","Trust score: 85/100 Review then install","Readiness: 100/100 Production-ready","Documentation summary is thin","Documentation summary is thin"],"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_92322404-d70f-41ec-969f-352d9776b222"},"feedback":{"event_id":"resolve_92322404-d70f-41ec-969f-352d9776b222","outcome_api":"https://www.openagentskill.com/api/agent/outcome","cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz outcome \"resolve_92322404-d70f-41ec-969f-352d9776b222\" --skill \"aws-samples-amazon-bedrock-samples\" --task \"Use Sample Bedrock Deep Researcher\" --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 Sample Bedrock Deep Researcher","recommended_skill":{"slug":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","audit_url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","repository":"https://github.com/aws-samples/amazon-bedrock-samples","safety_tier":"Reviewed","auto_install_policy":"review"},"alternative_skills":[{"slug":"xiangyue-zhang-auto-deep-researcher-24x7","name":"Auto Deep Researcher 24x7","url":"https://www.openagentskill.com/skills/xiangyue-zhang-auto-deep-researcher-24x7","install_command":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","why_consider":"Matches task terms: deep, researcher","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"77/100 Review before install","trust":"87/100 Production candidate","notes":["Documentation summary is thin"]}},{"slug":"aws-samples-bedrock-chat","name":"Bedrock Chat","url":"https://www.openagentskill.com/skills/aws-samples-bedrock-chat","install_command":"npx skills add aws-samples/bedrock-chat","why_consider":"Matches task terms: bedrock","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"75/100 Review before install","trust":"85/100 Strong shortlist","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]}},{"slug":"alibaba-nlp-deepresearch","name":"DeepResearch","url":"https://www.openagentskill.com/skills/alibaba-nlp-deepresearch","install_command":"npx skills add Alibaba-NLP/DeepResearch","why_consider":"Matches task terms: deep","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"77/100 Review before install","trust":"78/100 Strong shortlist","notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Recent failure rate is elevated: 100%","1 failed agent outcome(s) reported","Agent Proven outcomes: Early agent signal: 0% success from 1 agent outcomes"]}}],"install_command":"npx skills add aws-samples/amazon-bedrock-samples","install_target":"Codex install prompt","why_recommended":["Matches task terms: bedrock","Useful GitHub adoption: 1,444 stars","Install handoff is available","Repository freshness signal is available","Registry match score 30","Primary pick for RAG and knowledge"],"risk_summary":{"level":"Safe to try","safety_tier":"Reviewed","safety":"73/100 Review before install","trust":"88/100 Production candidate","notes":["Documentation summary is thin"]},"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_92322404-d70f-41ec-969f-352d9776b222","outcome_api":"https://www.openagentskill.com/api/agent/outcome","cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz outcome \"resolve_92322404-d70f-41ec-969f-352d9776b222\" --skill \"aws-samples-amazon-bedrock-samples\" --task \"Use Sample Bedrock Deep Researcher\" --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_92322404-d70f-41ec-969f-352d9776b222","selected_skill_slug":"aws-samples-amazon-bedrock-samples","selected_skill_name":"Amazon Bedrock Samples","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_92322404-d70f-41ec-969f-352d9776b222","skill_slug":"aws-samples-amazon-bedrock-samples","task":"Use Sample Bedrock Deep Researcher","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."},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz outcome \"resolve_92322404-d70f-41ec-969f-352d9776b222\" --skill \"aws-samples-amazon-bedrock-samples\" --task \"Use Sample Bedrock Deep Researcher\" --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 aws-samples/amazon-bedrock-samples","After one narrow task, report the outcome with: npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz outcome \"resolve_92322404-d70f-41ec-969f-352d9776b222\" --skill \"aws-samples-amazon-bedrock-samples\" --task \"Use Sample Bedrock Deep Researcher\" --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 Sample Bedrock Deep Researcher","agent":"codex","selected_skill":{"slug":"aws-samples-amazon-bedrock-samples","name":"Amazon Bedrock Samples","url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples","api_url":"https://www.openagentskill.com/api/agent/skills/aws-samples-amazon-bedrock-samples","audit_url":"https://www.openagentskill.com/skills/aws-samples-amazon-bedrock-samples/audit","repository":"https://github.com/aws-samples/amazon-bedrock-samples"},"suited_tasks":["RAG and knowledge workflows","LangChain teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Read user messages","Find relevant knowledge"],"suited_agents":["Jupyter Notebook","RAG","Codex","Claude Code","Cursor","OpenAgentSkill CLI","LangChain","CLI"],"install":{"command":"npx skills add aws-samples/amazon-bedrock-samples","target":"codex","label":"Codex install prompt","policy":"review","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true},"trust":{"score":85,"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":["85/100 Trust Score v5","88/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Low metadata risk"],"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":86,"status":"pass","detail":"1.4K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":83,"status":"pass","detail":"1.4K stars, 688 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"status":"pass","detail":"3mo since push"},{"id":"license","label":"License clarity","score":86,"status":"pass","detail":"MIT-0"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"status":"info","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 aws-samples/amazon-bedrock-samples"},{"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":86,"status":"pass","detail":"filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"status":"pass","detail":"https://github.com/aws-samples/amazon-bedrock-samples"},{"id":"review_status","label":"Review status","score":88,"status":"pass","detail":"AI review data 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use."]},"alternatives":[{"slug":"xiangyue-zhang-auto-deep-researcher-24x7","name":"Auto Deep Researcher 24x7","url":"https://www.openagentskill.com/skills/xiangyue-zhang-auto-deep-researcher-24x7","install_command":"npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7","trust_score":87,"audit_score":89,"safety_score":77,"why_consider":"Matches task terms: deep, researcher","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"77/100 Review before install","trust":"87/100 Production candidate","notes":["Documentation summary is thin"]}},{"slug":"aws-samples-bedrock-chat","name":"Bedrock Chat","url":"https://www.openagentskill.com/skills/aws-samples-bedrock-chat","install_command":"npx skills add aws-samples/bedrock-chat","trust_score":85,"audit_score":87,"safety_score":75,"why_consider":"Matches task terms: bedrock","risk":{"level":"Safe to try","safety_tier":"Reviewed","safety":"75/100 Review before install","trust":"85/100 Strong shortlist","notes":["Documentation 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workflow."},"cli_example":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz outcome \"resolve_92322404-d70f-41ec-969f-352d9776b222\" --skill \"aws-samples-amazon-bedrock-samples\" --task \"Use Sample Bedrock Deep Researcher\" --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":"2026-08-23T16:47:58.572Z","total_skills_searched":942,"total_candidates":15,"candidate_pool":{"sort":"quality","size":942,"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"}}}