{"query":"Earn","filters":{"category":null,"platform":null,"track":null,"safety":null,"include_blocked":false,"min_stars":0},"total":10,"skills":[{"rank":1,"match_type":"exact","match_score":99,"raw_match_score":957.7,"semantic_relevance":100,"slug":"superteamdao-earn","name":"Earn","description":"An open source platform connecting crypto founders with elite talent to create bounties, and accelerate project completion","tagline":"An open source platform connecting crypto founders with elite talent to create bounties, and accelerate project completion","category":"web3-analytics","tags":["web3","crypto","freelance-work","nextjs","open-source","solana","typescript","github"],"author":{"name":"SuperteamDAO","verified":false,"url":"https://github.com/SuperteamDAO"},"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"GitHub star discovery","sourceDetail":"SuperteamDAO/earn","creatorName":"SuperteamDAO","creatorUrl":"https://github.com/SuperteamDAO","sourceUrl":"https://github.com/SuperteamDAO/earn","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/superteamdao-earn#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":239,"forks":191,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":47.36},"quality":{"score":69,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"239","tone":"neutral"},{"label":"Freshness","value":"2mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"AGPL-3.0","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v4","score":78,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"239 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":62,"weight":0.08,"status":"info","detail":"239 stars, 191 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":"AGPL-3.0"},{"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 SuperteamDAO/earn"},{"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/SuperteamDAO/earn"},{"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":"info","label":"GitHub adoption","detail":"239 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"239 stars, 191 forks; 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Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/superteamdao-earn/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/superteamdao-earn"},"trust":{"score":78,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"239 GitHub stars","repoActivity":"239 stars, 191 forks","lastPushed":"2mo since push","license":"AGPL-3.0","repository":"https://github.com/SuperteamDAO/earn","install":"npx skills add SuperteamDAO/earn","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":["web3-analytics","web3","crypto","freelance-work","nextjs","open-source"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","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. 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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: An open source platform connecting crypto founders with elite talent to create bounties, and accelerate project completion After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"superteamdao-earn\",\"task\":\"Install Earn\",\"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 \"Earn\" from https://github.com/SuperteamDAO/earn into a reusable Cursor project rule or agent instruction. 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require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use Earn in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 78/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 68/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"superteamdao-earn (Earn)","install_command":"npx skills add SuperteamDAO/earn","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"superteamdao-earn","task":"Use Earn in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/superteamdao-earn","api":"https://www.openagentskill.com/api/agent/skills/superteamdao-earn","audit":"https://www.openagentskill.com/skills/superteamdao-earn/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=superteamdao-earn&task=Use%20Earn%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Earn%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Earn%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/superteamdao-earn/install","manifest":"https://www.openagentskill.com/api/registry/manifest/superteamdao-earn"}},"platforms":["TypeScript","Web3"],"use_cases":[{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"install":"npx skills add SuperteamDAO/earn","install_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 superteamdao-earn","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 \"Earn\" agent skill from https://github.com/SuperteamDAO/earn. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: An open source platform connecting crypto founders with elite talent to create bounties, and accelerate project completion After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"superteamdao-earn\",\"task\":\"Install Earn\",\"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 \"Earn\" as a Claude Code skill from https://github.com/SuperteamDAO/earn. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: An open source platform connecting crypto founders with elite talent to create bounties, and accelerate project completion After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"superteamdao-earn\",\"task\":\"Install Earn\",\"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 \"Earn\" from https://github.com/SuperteamDAO/earn into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: An open source platform connecting crypto founders with elite talent to create bounties, and accelerate project completion After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"superteamdao-earn\",\"task\":\"Install Earn\",\"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"}],"repository":"https://github.com/SuperteamDAO/earn","github_repo":"SuperteamDAO/earn","version":"1.0.0","license":"AGPL-3.0","updated_at":"2026-08-18T17:22:21.819119+00:00","canonical_key":"superteamdao/earn","recommendation_reasons":["Matches task terms: earn","Install handoff is available","Repository freshness signal is available","Registry match score 99"],"urls":{"web":"https://www.openagentskill.com/skills/superteamdao-earn","api":"https://www.openagentskill.com/api/agent/skills/superteamdao-earn","install_api":"https://www.openagentskill.com/api/skills/superteamdao-earn/install","audit":"https://www.openagentskill.com/skills/superteamdao-earn/audit","repository":"https://github.com/SuperteamDAO/earn"}},{"rank":2,"match_type":"near","match_score":58,"raw_match_score":556.5,"semantic_relevance":72,"slug":"scikit-learn-scikit-learn","name":"Scikit Learn","description":"scikit-learn: machine learning in Python","tagline":"scikit-learn: machine learning in Python","category":"data-analysis","tags":["data-analysis","analytics","data-science","machine-learning","python","statistics","github"],"author":{"name":"scikit-learn","verified":true,"url":"https://github.com/scikit-learn"},"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"GitHub star discovery","sourceDetail":"scikit-learn/scikit-learn","creatorName":"scikit-learn","creatorUrl":"https://github.com/scikit-learn","sourceUrl":"https://github.com/scikit-learn/scikit-learn","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/scikit-learn-scikit-learn#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":66358,"forks":27072,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":73.95},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"66K","tone":"positive"},{"label":"Freshness","value":"2mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"BSD-3-Clause","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v4","score":88,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"66K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"66K stars, 27K 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":"BSD-3-Clause"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install 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thin"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","79/100 agent safety score"]},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"GitHub automation","description":"I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.","useCases":[{"slug":"github-automation","title":"GitHub automation"},{"slug":"data-analysis","title":"Data analysis"},{"slug":"coding-agents","title":"Coding agents"}]},"applicableAgents":["CLI","Codex","Claude Code","Cursor","Python"],"install":{"ready":true,"command":"npx skills add scikit-learn/scikit-learn","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":66358,"starsLabel":"66K","forks":27072,"license":"BSD-3-Clause","qualityScore":100,"trustScore":88,"auditScore":91},"maintenance":{"status":"active","label":"2mo since push","daysSincePush":67,"lastPushedAt":"2026-06-17T14:46:09+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","requiresReview":true,"notes":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"coverageTags":["Coding","GitHub automation","data-analysis","analytics","data-science","machine-learning","python","statistics"]},"audit":{"audit_score":91,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for GitHub automation","role":"Primary pick","primary_fit":"GitHub automation","best_for":["GitHub 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 GitHub 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."]},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"scikit-learn-scikit-learn","name":"Scikit Learn","description":"scikit-learn: machine learning in Python","category":"data-analysis","url":"https://www.openagentskill.com/skills/scikit-learn-scikit-learn","repository":"https://github.com/scikit-learn/scikit-learn","github_repo":"scikit-learn/scikit-learn"},"suited_tasks":["GitHub automation workflows","general agent builders","teams that value GitHub adoption signals","Inspect repository metadata","Compare code changes","Write concise engineering summaries","Load tabular data","Calculate trends"],"suited_agents":["Python","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add scikit-learn/scikit-learn","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 scikit-learn-scikit-learn"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Scikit Learn\" agent skill from https://github.com/scikit-learn/scikit-learn. 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: scikit-learn: machine learning in Python After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"scikit-learn-scikit-learn\",\"task\":\"Install Scikit Learn\",\"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 \"Scikit Learn\" as a Claude Code skill from https://github.com/scikit-learn/scikit-learn. 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: scikit-learn: machine learning in Python After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"scikit-learn-scikit-learn\",\"task\":\"Install Scikit Learn\",\"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 \"Scikit Learn\" from https://github.com/scikit-learn/scikit-learn 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: scikit-learn: machine learning in Python After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"scikit-learn-scikit-learn\",\"task\":\"Install Scikit Learn\",\"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/scikit-learn-scikit-learn/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/scikit-learn-scikit-learn"},"trust":{"score":88,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"66K GitHub stars","repoActivity":"66K stars, 27K forks","lastPushed":"2mo since push","license":"BSD-3-Clause","repository":"https://github.com/scikit-learn/scikit-learn","install":"npx skills add scikit-learn/scikit-learn","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["data-analysis","analytics","data-science","machine-learning","python","statistics"],"known_risks":["Documentation summary is thin","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. 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Creators can claim the listing to update ownership signals."},"stats":{"stars":13252,"forks":2974,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":69.06},"quality":{"score":97,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"13K","tone":"positive"},{"label":"Freshness","value":"2mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Unknown","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v4","score":84,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub 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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 \"Machine Learning Zoomcamp\" as a Claude Code skill from https://github.com/DataTalksClub/machine-learning-zoomcamp. 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: Learn ML engineering for free in 4 months! Register here 👇🏼 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"datatalksclub-machine-learning-zoomcamp\",\"task\":\"Install Machine Learning Zoomcamp\",\"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 \"Machine Learning Zoomcamp\" from https://github.com/DataTalksClub/machine-learning-zoomcamp 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: Learn ML engineering for free in 4 months! Register here 👇🏼 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"datatalksclub-machine-learning-zoomcamp\",\"task\":\"Install Machine Learning Zoomcamp\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"techiescamp-kubernetes-learning-path","task":"Use Kubernetes Learning Path in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/techiescamp-kubernetes-learning-path","api":"https://www.openagentskill.com/api/agent/skills/techiescamp-kubernetes-learning-path","audit":"https://www.openagentskill.com/skills/techiescamp-kubernetes-learning-path/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=techiescamp-kubernetes-learning-path&task=Use%20Kubernetes%20Learning%20Path%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Kubernetes%20Learning%20Path%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Kubernetes%20Learning%20Path%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/techiescamp-kubernetes-learning-path/install","manifest":"https://www.openagentskill.com/api/registry/manifest/techiescamp-kubernetes-learning-path"}},"platforms":["Kubernetes"],"use_cases":[{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"security-compliance","title":"Security and compliance","url":"https://www.openagentskill.com/use-cases/security-compliance"},{"slug":"web-scraping","title":"Web scraping","url":"https://www.openagentskill.com/use-cases/web-scraping"}],"install":"npx skills add techiescamp/kubernetes-learning-path","install_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 techiescamp-kubernetes-learning-path","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 \"Kubernetes Learning Path\" agent skill from https://github.com/techiescamp/kubernetes-learning-path. 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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 \"Kubernetes Learning Path\" as a Claude Code skill from https://github.com/techiescamp/kubernetes-learning-path. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A roadmap to learn Kubernetes from scratch (Beginner to Advanced level) After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"techiescamp-kubernetes-learning-path\",\"task\":\"Install Kubernetes Learning Path\",\"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 \"Kubernetes Learning Path\" from https://github.com/techiescamp/kubernetes-learning-path into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A roadmap to learn Kubernetes from scratch (Beginner to Advanced level) After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"techiescamp-kubernetes-learning-path\",\"task\":\"Install Kubernetes Learning Path\",\"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"}],"repository":"https://github.com/techiescamp/kubernetes-learning-path","github_repo":"techiescamp/kubernetes-learning-path","version":"1.0.0","license":"Unknown","updated_at":"2026-08-18T17:22:21.819119+00:00","canonical_key":"techiescamp/kubernetes-learning-path","recommendation_reasons":["Useful GitHub adoption: 7,557 stars","Quality score 71/100","Install handoff is available","Repository freshness signal is available","Registry match score 38"],"urls":{"web":"https://www.openagentskill.com/skills/techiescamp-kubernetes-learning-path","api":"https://www.openagentskill.com/api/agent/skills/techiescamp-kubernetes-learning-path","install_api":"https://www.openagentskill.com/api/skills/techiescamp-kubernetes-learning-path/install","audit":"https://www.openagentskill.com/skills/techiescamp-kubernetes-learning-path/audit","repository":"https://github.com/techiescamp/kubernetes-learning-path"}},{"rank":5,"match_type":"near","match_score":38,"raw_match_score":365,"semantic_relevance":72,"slug":"stefan-jansen-machine-learning-for-trading","name":"Machine Learning For Trading","description":"Code for Machine Learning for Algorithmic Trading, 2nd edition.","tagline":"Code for Machine Learning for Algorithmic Trading, 2nd edition.","category":"finance","tags":["finance","analysis","artificial-intelligence","data-science","deep-learning","investment","investment-strategies","machine-learning","ml4t-workflow","synthetic-data"],"author":{"name":"stefan-jansen","verified":true,"url":"https://github.com/stefan-jansen"},"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"GitHub star discovery","sourceDetail":"stefan-jansen/machine-learning-for-trading","creatorName":"stefan-jansen","creatorUrl":"https://github.com/stefan-jansen","sourceUrl":"https://github.com/stefan-jansen/machine-learning-for-trading","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/stefan-jansen-machine-learning-for-trading#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":19265,"forks":5328,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":70.19},"quality":{"score":99,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"19K","tone":"positive"},{"label":"Freshness","value":"2mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Unknown","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v4","score":85,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"19K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":100,"weight":0.08,"status":"pass","detail":"19K stars, 5.3K 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":42,"weight":0.09,"status":"warn","detail":"Unknown"},{"id":"documentation","label":"README/SKILL.md completeness","score":50,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add stefan-jansen/machine-learning-for-trading"},{"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/stefan-jansen/machine-learning-for-trading"},{"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":"19K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"19K stars, 5.3K forks; 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require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","License clarity: Unknown"]},"coverageTags":["Finance","Finance and quant","analysis","artificial-intelligence","data-science","deep-learning","investment","investment-strategies"]},"audit":{"audit_score":89,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Documentation summary is thin","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","License clarity: Unknown"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Finance and quant","role":"Primary pick","primary_fit":"Finance and quant","best_for":["Finance and quant 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 Finance and quant task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"stefan-jansen-machine-learning-for-trading","name":"Machine Learning For Trading","description":"Code for Machine Learning for Algorithmic Trading, 2nd edition.","category":"finance","url":"https://www.openagentskill.com/skills/stefan-jansen-machine-learning-for-trading","repository":"https://github.com/stefan-jansen/machine-learning-for-trading","github_repo":"stefan-jansen/machine-learning-for-trading"},"suited_tasks":["Finance and quant workflows","general agent builders","teams that value GitHub adoption signals","Retrieve market data","Compare financial signals","Generate investor-ready analysis","Inspect source files","Explain architecture"],"suited_agents":["Jupyter Notebook","Finance","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add stefan-jansen/machine-learning-for-trading","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 stefan-jansen-machine-learning-for-trading"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Machine Learning For Trading\" agent skill from https://github.com/stefan-jansen/machine-learning-for-trading. 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: Code for Machine Learning for Algorithmic Trading, 2nd edition. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"stefan-jansen-machine-learning-for-trading\",\"task\":\"Install Machine Learning For Trading\",\"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 \"Machine Learning For Trading\" as a Claude Code skill from https://github.com/stefan-jansen/machine-learning-for-trading. 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: Code for Machine Learning for Algorithmic Trading, 2nd edition. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"stefan-jansen-machine-learning-for-trading\",\"task\":\"Install Machine Learning For Trading\",\"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 \"Machine Learning For Trading\" from https://github.com/stefan-jansen/machine-learning-for-trading 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: Code for Machine Learning for Algorithmic Trading, 2nd edition. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"stefan-jansen-machine-learning-for-trading\",\"task\":\"Install Machine Learning For Trading\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"stefan-jansen-machine-learning-for-trading\",\"task\":\"Install Machine Learning For Trading\",\"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 \"Machine Learning For Trading\" from https://github.com/stefan-jansen/machine-learning-for-trading 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. 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Creators can claim the listing to update ownership signals."},"stats":{"stars":34158,"forks":0,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":92},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"34K","tone":"positive"},{"label":"Freshness","value":"20d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision."]},"trust":{"version":"trust-score-v4","score":85,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"34K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":75,"weight":0.08,"status":"info","detail":"34K stars, 0 forks; 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require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Financial research output is not financial advice; require human review before any live investment decision","80/100 agent safety score"]},"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":"finance-quant","title":"Finance and quant"},{"slug":"coding-agents","title":"Coding agents"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx -y skills add anthropics/financial-services --skill earnings-analysis","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":34158,"starsLabel":"34K","forks":0,"license":"Apache-2.0","qualityScore":100,"trustScore":85,"auditScore":92},"maintenance":{"status":"fresh","label":"20d since push","daysSincePush":20,"lastPushedAt":"2026-08-04T00:00:00.000Z"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; 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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: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Equity Research Earnings Analysis\" as a Claude Code skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Equity Research Earnings Analysis\" from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/anthropic-earnings-analysis/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/anthropic-earnings-analysis"},"trust":{"score":85,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"34K GitHub stars","repoActivity":"34K stars, 0 forks","lastPushed":"20d since push","license":"Apache-2.0","repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis","install":"npx -y skills add anthropics/financial-services --skill earnings-analysis","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Strong README/SKILL.md context","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":["Finance","agent-skill","equity-research","earnings","fundamental-analysis","financial-modeling"],"known_risks":["Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision."]},"agent_proven":{"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":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"20d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Financial research output is not financial advice; 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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: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Equity Research Earnings Analysis\" as a Claude Code skill from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Equity Research Earnings Analysis\" from https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"anthropic-earnings-analysis\",\"task\":\"Install Equity Research Earnings Analysis\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis","github_repo":"anthropics/financial-services","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-01T00:00:00.000Z","canonical_key":"anthropics/financial-services#plugins/vertical-plugins/equity-research/skills/earnings-analysis","recommendation_reasons":["Strong GitHub adoption: 34,158 stars","Quality score 92/100","Install handoff is available","Repository freshness signal is available","Registry match score 38"],"urls":{"web":"https://www.openagentskill.com/skills/anthropic-earnings-analysis","api":"https://www.openagentskill.com/api/agent/skills/anthropic-earnings-analysis","install_api":"https://www.openagentskill.com/api/skills/anthropic-earnings-analysis/install","audit":"https://www.openagentskill.com/skills/anthropic-earnings-analysis/audit","repository":"https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/equity-research/skills/earnings-analysis"}},{"rank":7,"match_type":"near","match_score":38,"raw_match_score":363.1,"semantic_relevance":72,"slug":"alirezadir-machine-learning-interviews","name":"Machine Learning Interviews","description":"This repo is meant to serve as a guide for Machine Learning/AI technical interviews. ","tagline":"This repo is meant to serve as a guide for Machine Learning/AI technical interviews. ","category":"agent-frameworks","tags":["agents","ai-agents","agentic","ai","ai-engineering","deep-learning","interview","interview-practice","interview-preparation","interviews"],"author":{"name":"alirezadir","verified":true,"url":"https://github.com/alirezadir"},"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"GitHub star discovery","sourceDetail":"alirezadir/Machine-Learning-Interviews","creatorName":"alirezadir","creatorUrl":"https://github.com/alirezadir","sourceUrl":"https://github.com/alirezadir/Machine-Learning-Interviews","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/alirezadir-machine-learning-interviews#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":8803,"forks":1536,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":69.31},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"8.8K","tone":"positive"},{"label":"Freshness","value":"7d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v4","score":90,"tier":"production","label":"Production candidate","summary":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.","recommendedAction":"Shortlist for production use, then 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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 repo is meant to serve as a guide for Machine Learning/AI technical interviews. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"alirezadir-machine-learning-interviews\",\"task\":\"Install Machine Learning Interviews\",\"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 \"Machine Learning Interviews\" as a Claude Code skill from https://github.com/alirezadir/Machine-Learning-Interviews. 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 repo is meant to serve as a guide for Machine Learning/AI technical interviews. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"alirezadir-machine-learning-interviews\",\"task\":\"Install Machine Learning Interviews\",\"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 \"Machine Learning Interviews\" from https://github.com/alirezadir/Machine-Learning-Interviews 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 repo is meant to serve as a guide for Machine Learning/AI technical interviews. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"alirezadir-machine-learning-interviews\",\"task\":\"Install Machine Learning Interviews\",\"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/alirezadir-machine-learning-interviews/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/alirezadir-machine-learning-interviews"},"trust":{"score":90,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"8.8K GitHub stars","repoActivity":"8.8K stars, 1.5K forks","lastPushed":"7d since push","license":"MIT","repository":"https://github.com/alirezadir/Machine-Learning-Interviews","install":"npx skills add alirezadir/Machine-Learning-Interviews","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":["agent-frameworks","agents","ai-agents","agentic","ai","ai-engineering"],"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":94,"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":"Coding and developer agents","scenario":"Coding agents","maintenance":"7d 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 Machine Learning Interviews in an agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"review","minimum_review_before_use":["Trust: 90/100 Production candidate","Audit: 94/100 Safe to try","Safety: 78/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"alirezadir-machine-learning-interviews (Machine Learning Interviews)","install_command":"npx skills add alirezadir/Machine-Learning-Interviews","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":"","skill_slug":"alirezadir-machine-learning-interviews","task":"Use Machine Learning Interviews in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/alirezadir-machine-learning-interviews","api":"https://www.openagentskill.com/api/agent/skills/alirezadir-machine-learning-interviews","audit":"https://www.openagentskill.com/skills/alirezadir-machine-learning-interviews/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=alirezadir-machine-learning-interviews&task=Use%20Machine%20Learning%20Interviews%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Machine%20Learning%20Interviews%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Machine%20Learning%20Interviews%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/alirezadir-machine-learning-interviews/install","manifest":"https://www.openagentskill.com/api/registry/manifest/alirezadir-machine-learning-interviews"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"alirezadir-machine-learning-interviews","name":"Machine Learning Interviews","description":"This repo is meant to serve as a guide for Machine Learning/AI technical interviews. ","category":"agent-frameworks","url":"https://www.openagentskill.com/skills/alirezadir-machine-learning-interviews","repository":"https://github.com/alirezadir/Machine-Learning-Interviews","github_repo":"alirezadir/Machine-Learning-Interviews"},"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","Load tabular data","Calculate trends"],"suited_agents":["Jupyter Notebook","AI Agents","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add alirezadir/Machine-Learning-Interviews","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 alirezadir-machine-learning-interviews"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Machine Learning Interviews\" agent skill from https://github.com/alirezadir/Machine-Learning-Interviews. 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 repo is meant to serve as a guide for Machine Learning/AI technical interviews. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"alirezadir-machine-learning-interviews\",\"task\":\"Install Machine Learning Interviews\",\"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 \"Machine Learning Interviews\" as a Claude Code skill from https://github.com/alirezadir/Machine-Learning-Interviews. 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 repo is meant to serve as a guide for Machine Learning/AI technical interviews. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"alirezadir-machine-learning-interviews\",\"task\":\"Install Machine Learning Interviews\",\"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 \"Machine Learning Interviews\" from https://github.com/alirezadir/Machine-Learning-Interviews 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 repo is meant to serve as a guide for Machine Learning/AI technical interviews. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"alirezadir-machine-learning-interviews\",\"task\":\"Install Machine Learning Interviews\",\"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/alirezadir-machine-learning-interviews/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/alirezadir-machine-learning-interviews"},"trust":{"score":90,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"8.8K GitHub stars","repoActivity":"8.8K stars, 1.5K forks","lastPushed":"7d since push","license":"MIT","repository":"https://github.com/alirezadir/Machine-Learning-Interviews","install":"npx skills add alirezadir/Machine-Learning-Interviews","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":["agent-frameworks","agents","ai-agents","agentic","ai","ai-engineering"],"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":94,"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":"Coding and developer agents","scenario":"Coding agents","maintenance":"7d 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 Machine Learning Interviews in an agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"review","minimum_review_before_use":["Trust: 90/100 Production candidate","Audit: 94/100 Safe to try","Safety: 78/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"alirezadir-machine-learning-interviews (Machine Learning Interviews)","install_command":"npx skills add alirezadir/Machine-Learning-Interviews","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":"","skill_slug":"alirezadir-machine-learning-interviews","task":"Use Machine Learning Interviews in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/alirezadir-machine-learning-interviews","api":"https://www.openagentskill.com/api/agent/skills/alirezadir-machine-learning-interviews","audit":"https://www.openagentskill.com/skills/alirezadir-machine-learning-interviews/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=alirezadir-machine-learning-interviews&task=Use%20Machine%20Learning%20Interviews%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Machine%20Learning%20Interviews%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Machine%20Learning%20Interviews%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/alirezadir-machine-learning-interviews/install","manifest":"https://www.openagentskill.com/api/registry/manifest/alirezadir-machine-learning-interviews"}},"platforms":["Jupyter Notebook","AI Agents"],"use_cases":[{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"web-scraping","title":"Web scraping","url":"https://www.openagentskill.com/use-cases/web-scraping"}],"install":"npx skills add alirezadir/Machine-Learning-Interviews","install_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 alirezadir-machine-learning-interviews","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 \"Machine Learning Interviews\" agent skill from https://github.com/alirezadir/Machine-Learning-Interviews. 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 repo is meant to serve as a guide for Machine Learning/AI technical interviews. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"alirezadir-machine-learning-interviews\",\"task\":\"Install Machine Learning Interviews\",\"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 \"Machine Learning Interviews\" as a Claude Code skill from https://github.com/alirezadir/Machine-Learning-Interviews. 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 repo is meant to serve as a guide for Machine Learning/AI technical interviews. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"alirezadir-machine-learning-interviews\",\"task\":\"Install Machine Learning Interviews\",\"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 \"Machine Learning Interviews\" from https://github.com/alirezadir/Machine-Learning-Interviews 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 repo is meant to serve as a guide for Machine Learning/AI technical interviews. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"alirezadir-machine-learning-interviews\",\"task\":\"Install Machine Learning Interviews\",\"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"}],"repository":"https://github.com/alirezadir/Machine-Learning-Interviews","github_repo":"alirezadir/Machine-Learning-Interviews","version":"1.0.0","license":"MIT","updated_at":"2026-08-18T17:22:21.819119+00:00","canonical_key":"alirezadir/machine-learning-interviews","recommendation_reasons":["Useful GitHub adoption: 8,803 stars","Install handoff is available","Repository freshness signal is available","Registry match score 38"],"urls":{"web":"https://www.openagentskill.com/skills/alirezadir-machine-learning-interviews","api":"https://www.openagentskill.com/api/agent/skills/alirezadir-machine-learning-interviews","install_api":"https://www.openagentskill.com/api/skills/alirezadir-machine-learning-interviews/install","audit":"https://www.openagentskill.com/skills/alirezadir-machine-learning-interviews/audit","repository":"https://github.com/alirezadir/Machine-Learning-Interviews"}},{"rank":8,"match_type":"near","match_score":37,"raw_match_score":358.2,"semantic_relevance":72,"slug":"himself65-earnings-preview","name":"Earnings Preview","description":"Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.","tagline":"Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.","category":"Finance","tags":["agent-skill","finance","earnings","stock-analysis","consensus-estimates","market-data"],"author":{"name":"himself65","verified":false,"url":"https://github.com/himself65"},"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"curated snapshot","sourceDetail":"himself65/finance-skills","creatorName":"himself65","creatorUrl":"https://github.com/himself65","sourceUrl":"https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/himself65-earnings-preview#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":3139,"forks":0,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":83},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"3.1K","tone":"positive"},{"label":"Freshness","value":"19d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["Uses external market data; verify timing, data quality, and provider terms before relying on results."]},"trust":{"version":"trust-score-v4","score":82,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":86,"weight":0.13,"status":"pass","detail":"3.1K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":66,"weight":0.08,"status":"info","detail":"3.1K stars, 0 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"19d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":90,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx -y skills add himself65/finance-skills --skill earnings-preview"},{"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/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview"},{"id":"review_status","label":"Review status","score":83,"weight":0.05,"status":"info","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":"3.1K GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"3.1K stars, 0 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"19d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx -y skills add himself65/finance-skills --skill earnings-preview"},{"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/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["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":["Uses external market data; 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verify timing, data quality, and provider terms before relying on results.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety":{"score":79,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Financial research output is not financial advice; require human review before any live investment decision","79/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Financial research output is not financial advice; require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Financial research output is not financial advice; require human review before any live investment decision","79/100 agent safety score"]},"supply_profile":{"track":{"slug":"finance","label":"Finance and quant workflows","shortLabel":"Finance","description":"Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows."},"scenario":{"label":"Finance and quant","description":"I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"finance-quant","title":"Finance and quant"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx -y skills add himself65/finance-skills --skill earnings-preview","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":3139,"starsLabel":"3.1K","forks":0,"license":"MIT","qualityScore":100,"trustScore":82,"auditScore":91},"maintenance":{"status":"fresh","label":"19d since push","daysSincePush":19,"lastPushedAt":"2026-08-05T00:00:00.000Z"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","Uses external market data; verify timing, data quality, and provider terms before relying on results.","Financial research output is not financial advice; require human review before any live investment decision.","Needs review"]},"coverageTags":["Finance","Finance and quant","agent-skill","earnings","stock-analysis","consensus-estimates","market-data","Claude Code"]},"audit":{"audit_score":91,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Uses external market data; verify timing, data quality, and provider terms before relying on results.","Financial research output is not financial advice; require human review before any live investment decision."]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Research agents","role":"Primary pick","primary_fit":"Research agents","best_for":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["Uses external market data; verify timing, data quality, and provider terms before relying on results.","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."]},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"himself65-earnings-preview","name":"Earnings Preview","description":"Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.","category":"Finance","url":"https://www.openagentskill.com/skills/himself65-earnings-preview","repository":"https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview","github_repo":"himself65/finance-skills"},"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":["Claude Code","Codex","skills.sh","Yahoo Finance","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx -y skills add himself65/finance-skills --skill earnings-preview","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 himself65-earnings-preview"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Earnings Preview\" agent skill from https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview. 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: Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"himself65-earnings-preview\",\"task\":\"Install Earnings Preview\",\"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 \"Earnings Preview\" as a Claude Code skill from https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview. 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: Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"himself65-earnings-preview\",\"task\":\"Install Earnings Preview\",\"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 \"Earnings Preview\" from https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/earnings-preview 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: Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"himself65-earnings-preview\",\"task\":\"Install Earnings Preview\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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verify account scope, provider terms, and event dates before use.","Financial research output is not financial advice; require human review before any live investment decision."],"evidence":{"stars":"2.6K GitHub stars","repoActivity":"2.6K stars, 0 forks","lastPushed":"14d since push","license":"MIT","repository":"https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar","install":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","14d since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Claude Code","Codex","skills.sh","Financial Modeling Prep","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","Financial research output is not financial advice; require human review before any live investment decision."]},"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":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["Finance","agent-skill","earnings","calendar","market-data","research"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety":{"score":79,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Financial research output is not financial advice; require human review before any live investment decision","79/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Financial research output is not financial advice; require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Financial research output is not financial advice; require human review before any live investment decision","79/100 agent safety score"]},"supply_profile":{"track":{"slug":"finance","label":"Finance and quant workflows","shortLabel":"Finance","description":"Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows."},"scenario":{"label":"Finance and quant","description":"I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"finance-quant","title":"Finance and quant"},{"slug":"coding-agents","title":"Coding agents"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":2602,"starsLabel":"2.6K","forks":0,"license":"MIT","qualityScore":100,"trustScore":82,"auditScore":91},"maintenance":{"status":"fresh","label":"14d since push","daysSincePush":14,"lastPushedAt":"2026-08-10T00:00:00.000Z"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","Financial research output is not financial advice; require human review before any live investment decision.","Needs review"]},"coverageTags":["Finance","Finance and quant","agent-skill","earnings","calendar","market-data","research","Claude Code"]},"audit":{"audit_score":91,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","Financial research output is not financial advice; require human review before any live investment decision."]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Research agents","role":"Primary pick","primary_fit":"Research agents","best_for":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","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."]},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"tradermonty-earnings-calendar","name":"Earnings Calendar","description":"Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.","category":"Finance","url":"https://www.openagentskill.com/skills/tradermonty-earnings-calendar","repository":"https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar","github_repo":"tradermonty/claude-trading-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Retrieve market data","Compare financial signals"],"suited_agents":["Claude Code","Codex","skills.sh","Financial Modeling Prep","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","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 tradermonty-earnings-calendar"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Earnings Calendar\" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar. 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: Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"tradermonty-earnings-calendar\",\"task\":\"Install Earnings Calendar\",\"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 \"Earnings Calendar\" as a Claude Code skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar. 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: Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"tradermonty-earnings-calendar\",\"task\":\"Install Earnings Calendar\",\"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 \"Earnings Calendar\" from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar 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: Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"tradermonty-earnings-calendar\",\"task\":\"Install Earnings Calendar\",\"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/tradermonty-earnings-calendar/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/tradermonty-earnings-calendar"},"trust":{"score":82,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"2.6K GitHub stars","repoActivity":"2.6K stars, 0 forks","lastPushed":"14d since push","license":"MIT","repository":"https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar","install":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Strong README/SKILL.md context","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":["Finance","agent-skill","earnings","calendar","market-data","research"],"known_risks":["Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","Financial research output is not financial advice; require human review before any live investment decision."]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":91,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Finance and quant workflows","scenario":"Finance and quant","maintenance":"14d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","No OpenAgentSkill engagement data yet","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","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 Earnings Calendar in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 82/100 Strong shortlist","Audit: 91/100 Needs review","Safety: 79/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"tradermonty-earnings-calendar (Earnings Calendar)","install_command":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"tradermonty-earnings-calendar","task":"Use Earnings Calendar in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/tradermonty-earnings-calendar","api":"https://www.openagentskill.com/api/agent/skills/tradermonty-earnings-calendar","audit":"https://www.openagentskill.com/skills/tradermonty-earnings-calendar/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=tradermonty-earnings-calendar&task=Use%20Earnings%20Calendar%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Earnings%20Calendar%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Earnings%20Calendar%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/tradermonty-earnings-calendar/install","manifest":"https://www.openagentskill.com/api/registry/manifest/tradermonty-earnings-calendar"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"tradermonty-earnings-calendar","name":"Earnings Calendar","description":"Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.","category":"Finance","url":"https://www.openagentskill.com/skills/tradermonty-earnings-calendar","repository":"https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar","github_repo":"tradermonty/claude-trading-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Retrieve market data","Compare financial signals"],"suited_agents":["Claude Code","Codex","skills.sh","Financial Modeling Prep","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","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 tradermonty-earnings-calendar"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Earnings Calendar\" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar. 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: Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"tradermonty-earnings-calendar\",\"task\":\"Install Earnings Calendar\",\"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 \"Earnings Calendar\" as a Claude Code skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar. 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: Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"tradermonty-earnings-calendar\",\"task\":\"Install Earnings Calendar\",\"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 \"Earnings Calendar\" from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar 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: Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"tradermonty-earnings-calendar\",\"task\":\"Install Earnings Calendar\",\"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/tradermonty-earnings-calendar/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/tradermonty-earnings-calendar"},"trust":{"score":82,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"2.6K GitHub stars","repoActivity":"2.6K stars, 0 forks","lastPushed":"14d since push","license":"MIT","repository":"https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar","install":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Strong README/SKILL.md context","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":["Finance","agent-skill","earnings","calendar","market-data","research"],"known_risks":["Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","Financial research output is not financial advice; require human review before any live investment decision."]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":91,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Finance and quant workflows","scenario":"Finance and quant","maintenance":"14d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Requires Financial Modeling Prep access; verify account scope, provider terms, and event dates before use.","No OpenAgentSkill engagement data yet","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","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 Earnings Calendar in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 82/100 Strong shortlist","Audit: 91/100 Needs review","Safety: 79/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"tradermonty-earnings-calendar (Earnings Calendar)","install_command":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"tradermonty-earnings-calendar","task":"Use Earnings Calendar in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/tradermonty-earnings-calendar","api":"https://www.openagentskill.com/api/agent/skills/tradermonty-earnings-calendar","audit":"https://www.openagentskill.com/skills/tradermonty-earnings-calendar/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=tradermonty-earnings-calendar&task=Use%20Earnings%20Calendar%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Earnings%20Calendar%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Earnings%20Calendar%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/tradermonty-earnings-calendar/install","manifest":"https://www.openagentskill.com/api/registry/manifest/tradermonty-earnings-calendar"}},"platforms":["Claude Code","Codex","skills.sh","Financial Modeling Prep","OpenAI Agents"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"finance-quant","title":"Finance and quant","url":"https://www.openagentskill.com/use-cases/finance-quant"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"install":"npx -y skills add tradermonty/claude-trading-skills --skill earnings-calendar","install_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 tradermonty-earnings-calendar","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 \"Earnings Calendar\" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar. 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: Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"tradermonty-earnings-calendar\",\"task\":\"Install Earnings Calendar\",\"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 \"Earnings Calendar\" as a Claude Code skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar. 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: Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"tradermonty-earnings-calendar\",\"task\":\"Install Earnings Calendar\",\"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 \"Earnings Calendar\" from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar 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: Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"tradermonty-earnings-calendar\",\"task\":\"Install Earnings Calendar\",\"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"}],"repository":"https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar","github_repo":"tradermonty/claude-trading-skills","version":"1.0.0","license":"MIT","updated_at":"2026-06-01T00:00:00.000Z","canonical_key":"tradermonty/claude-trading-skills#skills/earnings-calendar","recommendation_reasons":["Useful GitHub adoption: 2,602 stars","Quality score 82/100","Install handoff is available","Repository freshness signal is available","Registry match score 37"],"urls":{"web":"https://www.openagentskill.com/skills/tradermonty-earnings-calendar","api":"https://www.openagentskill.com/api/agent/skills/tradermonty-earnings-calendar","install_api":"https://www.openagentskill.com/api/skills/tradermonty-earnings-calendar/install","audit":"https://www.openagentskill.com/skills/tradermonty-earnings-calendar/audit","repository":"https://github.com/tradermonty/claude-trading-skills/tree/main/skills/earnings-calendar"}},{"rank":10,"match_type":"near","match_score":37,"raw_match_score":355.1,"semantic_relevance":72,"slug":"star23-tech-earnings-deepdive","name":"Tech Earnings Deep Dive","description":"Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.","tagline":"Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.","category":"Finance","tags":["agent-skill","finance","tech-stocks","earnings","investment-memo","valuation"],"author":{"name":"star23","verified":false,"url":"https://github.com/star23"},"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"curated snapshot","sourceDetail":"star23/Day1Global-Skills","creatorName":"star23","creatorUrl":"https://github.com/star23","sourceUrl":"https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/star23-tech-earnings-deepdive#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":1027,"forks":0,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":80},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"1.0K","tone":"positive"},{"label":"Freshness","value":"4mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources."]},"trust":{"version":"trust-score-v4","score":79,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":86,"weight":0.13,"status":"pass","detail":"1.0K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":66,"weight":0.08,"status":"info","detail":"1.0K stars, 0 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":76,"weight":0.14,"status":"info","detail":"4mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":90,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive"},{"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/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive"},{"id":"review_status","label":"Review status","score":80,"weight":0.05,"status":"info","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":"1.0K GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"1.0K stars, 0 forks; issue activity unavailable in current metadata"},{"status":"info","label":"Recent maintenance","detail":"4mo since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive"},{"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/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","Financial research output is not financial advice; require human review before any live investment decision."],"evidence":{"stars":"1.0K GitHub stars","repoActivity":"1.0K stars, 0 forks","lastPushed":"4mo since push","license":"MIT","repository":"https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive","install":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","4mo since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","skills.sh","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","Financial research output is not financial advice; require human review before any live investment decision."]},"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":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["Finance","agent-skill","tech-stocks","earnings","investment-memo","valuation"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety":{"score":75,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Financial research output is not financial advice; require human review before any live investment decision","75/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["Financial research output is not financial advice; require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Financial research output is not financial advice; require human review before any live investment decision","75/100 agent safety score"]},"supply_profile":{"track":{"slug":"finance","label":"Finance and quant workflows","shortLabel":"Finance","description":"Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows."},"scenario":{"label":"Finance and quant","description":"I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"finance-quant","title":"Finance and quant"},{"slug":"coding-agents","title":"Coding agents"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":1027,"starsLabel":"1.0K","forks":0,"license":"MIT","qualityScore":100,"trustScore":79,"auditScore":87},"maintenance":{"status":"active","label":"4mo since push","daysSincePush":131,"lastPushedAt":"2026-04-15T00:00:00.000Z"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","Financial research output is not financial advice; require human review before any live investment decision.","Needs review"]},"coverageTags":["Finance","Finance and quant","agent-skill","tech-stocks","earnings","investment-memo","valuation","Codex"]},"audit":{"audit_score":87,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","Financial research output is not financial advice; require human review before any live investment decision."]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Research agents","role":"Primary pick","primary_fit":"Research agents","best_for":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","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."]},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"star23-tech-earnings-deepdive","name":"Tech Earnings Deep Dive","description":"Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.","category":"Finance","url":"https://www.openagentskill.com/skills/star23-tech-earnings-deepdive","repository":"https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive","github_repo":"star23/Day1Global-Skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Retrieve market data","Compare financial signals"],"suited_agents":["Codex","Claude Code","skills.sh","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","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 star23-tech-earnings-deepdive"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Tech Earnings Deep Dive\" agent skill from https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"star23-tech-earnings-deepdive\",\"task\":\"Install Tech Earnings Deep Dive\",\"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 \"Tech Earnings Deep Dive\" as a Claude Code skill from https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"star23-tech-earnings-deepdive\",\"task\":\"Install Tech Earnings Deep Dive\",\"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 \"Tech Earnings Deep Dive\" from https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"star23-tech-earnings-deepdive\",\"task\":\"Install Tech Earnings Deep Dive\",\"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/star23-tech-earnings-deepdive/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/star23-tech-earnings-deepdive"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"1.0K GitHub stars","repoActivity":"1.0K stars, 0 forks","lastPushed":"4mo since push","license":"MIT","repository":"https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive","install":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Strong README/SKILL.md context","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":["Finance","agent-skill","tech-stocks","earnings","investment-memo","valuation"],"known_risks":["Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","Financial research output is not financial advice; require human review before any live investment decision."]},"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":87,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Finance and quant workflows","scenario":"Finance and quant","maintenance":"4mo since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","No OpenAgentSkill engagement data yet","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","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 Tech Earnings Deep Dive in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 87/100 Needs review","Safety: 75/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"star23-tech-earnings-deepdive (Tech Earnings Deep Dive)","install_command":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"star23-tech-earnings-deepdive","task":"Use Tech Earnings Deep Dive in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/star23-tech-earnings-deepdive","api":"https://www.openagentskill.com/api/agent/skills/star23-tech-earnings-deepdive","audit":"https://www.openagentskill.com/skills/star23-tech-earnings-deepdive/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=star23-tech-earnings-deepdive&task=Use%20Tech%20Earnings%20Deep%20Dive%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Tech%20Earnings%20Deep%20Dive%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Tech%20Earnings%20Deep%20Dive%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/star23-tech-earnings-deepdive/install","manifest":"https://www.openagentskill.com/api/registry/manifest/star23-tech-earnings-deepdive"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"star23-tech-earnings-deepdive","name":"Tech Earnings Deep Dive","description":"Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.","category":"Finance","url":"https://www.openagentskill.com/skills/star23-tech-earnings-deepdive","repository":"https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive","github_repo":"star23/Day1Global-Skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Retrieve market data","Compare financial signals"],"suited_agents":["Codex","Claude Code","skills.sh","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","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 star23-tech-earnings-deepdive"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Tech Earnings Deep Dive\" agent skill from https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"star23-tech-earnings-deepdive\",\"task\":\"Install Tech Earnings Deep Dive\",\"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 \"Tech Earnings Deep Dive\" as a Claude Code skill from https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"star23-tech-earnings-deepdive\",\"task\":\"Install Tech Earnings Deep Dive\",\"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 \"Tech Earnings Deep Dive\" from https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"star23-tech-earnings-deepdive\",\"task\":\"Install Tech Earnings Deep Dive\",\"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/star23-tech-earnings-deepdive/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/star23-tech-earnings-deepdive"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"1.0K GitHub stars","repoActivity":"1.0K stars, 0 forks","lastPushed":"4mo since push","license":"MIT","repository":"https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive","install":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Strong README/SKILL.md context","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":["Finance","agent-skill","tech-stocks","earnings","investment-memo","valuation"],"known_risks":["Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","Financial research output is not financial advice; require human review before any live investment decision."]},"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":87,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","Financial research output is not financial advice; require human review before any live investment decision."]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":100,"label":"Excellent"},"supply":{"track":"Finance and quant workflows","scenario":"Finance and quant","maintenance":"4mo since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Repository freshness is limited; validate market facts, rules, and valuation assumptions against current primary sources.","No OpenAgentSkill engagement data yet","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","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 Tech Earnings Deep Dive in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 87/100 Needs review","Safety: 75/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"star23-tech-earnings-deepdive (Tech Earnings Deep Dive)","install_command":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"star23-tech-earnings-deepdive","task":"Use Tech Earnings Deep Dive in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/star23-tech-earnings-deepdive","api":"https://www.openagentskill.com/api/agent/skills/star23-tech-earnings-deepdive","audit":"https://www.openagentskill.com/skills/star23-tech-earnings-deepdive/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=star23-tech-earnings-deepdive&task=Use%20Tech%20Earnings%20Deep%20Dive%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Tech%20Earnings%20Deep%20Dive%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Tech%20Earnings%20Deep%20Dive%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/star23-tech-earnings-deepdive/install","manifest":"https://www.openagentskill.com/api/registry/manifest/star23-tech-earnings-deepdive"}},"platforms":["Codex","Claude Code","skills.sh","OpenAI Agents"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"finance-quant","title":"Finance and quant","url":"https://www.openagentskill.com/use-cases/finance-quant"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"install":"npx -y skills add star23/Day1Global-Skills --skill tech-earnings-deepdive","install_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 star23-tech-earnings-deepdive","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 \"Tech Earnings Deep Dive\" agent skill from https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"star23-tech-earnings-deepdive\",\"task\":\"Install Tech Earnings Deep Dive\",\"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 \"Tech Earnings Deep Dive\" as a Claude Code skill from https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"star23-tech-earnings-deepdive\",\"task\":\"Install Tech Earnings Deep Dive\",\"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 \"Tech Earnings Deep Dive\" from https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"star23-tech-earnings-deepdive\",\"task\":\"Install Tech Earnings Deep Dive\",\"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"}],"repository":"https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive","github_repo":"star23/Day1Global-Skills","version":"1.0.0","license":"MIT","updated_at":"2026-06-01T00:00:00.000Z","canonical_key":"star23/day1global-skills#tech-earnings-deepdive","recommendation_reasons":["Useful GitHub adoption: 1,027 stars","Quality score 80/100","Install handoff is available","Repository freshness signal is available","Registry match score 37"],"urls":{"web":"https://www.openagentskill.com/skills/star23-tech-earnings-deepdive","api":"https://www.openagentskill.com/api/agent/skills/star23-tech-earnings-deepdive","install_api":"https://www.openagentskill.com/api/skills/star23-tech-earnings-deepdive/install","audit":"https://www.openagentskill.com/skills/star23-tech-earnings-deepdive/audit","repository":"https://github.com/star23/Day1Global-Skills/tree/main/tech-earnings-deepdive"}}],"meta":{"endpoint":"/api/skills/search","canonical_agent_endpoint":"/api/agent/resolve","lookup_intent":true,"exact_match_found":true,"match_counts":{"exact":1,"near":9,"related":0},"no_match_message":null,"safety_policy":"Blocked candidates are excluded by default. Pass include_blocked=true only for manual audit workflows.","agent_friendly":true,"api_version":"1.0","generated_at":"2026-08-24T04:17:30.081Z"}}