{"eval":{"version":"openagentskill-skill-eval-v1","slug":"github-agentic-eval","name":"agentic-eval","generated_at":"2026-09-06T08:29:48.596Z","task_input":"Evaluate agentic-eval before installing it in an AI agent workflow","status":"review","score":87,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_allowed":false,"policy":"allow","human_review_required":true},"task_fit":{"score":84,"suited_tasks":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals","Inspect source files","Explain architecture","Patch bugs and verify changes","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"install":{"command":"npx skills add github/awesome-copilot --skill agentic-eval","ready":true,"policy":"allow","safety_label":"Safe to install with normal review","targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add github-agentic-eval"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"agentic-eval\" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval. 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: Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"github-agentic-eval\",\"task\":\"Install agentic-eval\",\"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 \"agentic-eval\" as a Claude Code skill from https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval. 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: Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"github-agentic-eval\",\"task\":\"Install agentic-eval\",\"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 \"agentic-eval\" from https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval 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: Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"github-agentic-eval\",\"task\":\"Install agentic-eval\",\"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."}]},"trust":{"score":86,"label":"Production candidate","version":"trust-score-v4","evidence":{"stars":"39K GitHub stars","repoActivity":"39K stars, 4.9K forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval","install":"npx skills add github/awesome-copilot --skill agentic-eval","installSafety":"dynamic command execution, 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"}},"audit":{"score":90,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"safety_gate":{"score":82,"tier":"reviewed","label":"Reviewed","auto_install_policy":"allow","blocked":false,"permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":[]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate agentic-eval before installing it in an AI agent workflow","design-creative","Coding agents workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add github/awesome-copilot --skill agentic-eval"]},{"id":"install_safety","label":"Install command safety","status":"warn","score":68,"required_for_auto_install":true,"detail":"dynamic command execution, standard package or runtime install path","evidence":["npx skills add github/awesome-copilot --skill agentic-eval"]},{"id":"trust_score","label":"Trust score","status":"pass","score":86,"required_for_auto_install":true,"detail":"Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.","evidence":["Production candidate","39K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"pass","score":90,"required_for_auto_install":true,"detail":"Safe to try","evidence":["No major audit warning from metadata."]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"pass","score":82,"required_for_auto_install":true,"detail":"Good audit and safety signals with no high-risk permission hints in public metadata.","evidence":["Review the audit page, then allow agent install in a sandboxed workflow.","Safe-to-try audit"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":76,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"4d since push","evidence":["4d since push"]},{"id":"permission_surface","label":"Permission surface","status":"pass","score":100,"required_for_auto_install":true,"detail":"no high-risk permission surface in public metadata","evidence":["Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"pass","score":82,"required_for_auto_install":false,"detail":"Alternative skills are available for comparison.","evidence":["anthropic-frontend-design","design-taste-frontend","vox-director","anthropic-canvas-design"]}],"blockers":[],"warnings":["Install command safety: dynamic command execution, standard package or runtime install path","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","No major trust warnings detected from available metadata","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"alternatives":[{"slug":"anthropic-frontend-design","name":"Frontend Design","url":"https://www.openagentskill.com/skills/anthropic-frontend-design","stars":174615,"install_command":"npx skills add anthropics/skills --skill frontend-design","trust_score":91,"audit_score":93},{"slug":"design-taste-frontend","name":"Taste Skill: Anti-Slop Frontend","url":"https://www.openagentskill.com/skills/design-taste-frontend","stars":84649,"install_command":"npx skills add Leonxlnx/taste-skill --skill design-taste-frontend","trust_score":94,"audit_score":96},{"slug":"vox-director","name":"Vox Director","url":"https://www.openagentskill.com/skills/vox-director","stars":1755,"install_command":"npx skills add Alisa0808/vox-director --skill vox-director","trust_score":86,"audit_score":92},{"slug":"anthropic-canvas-design","name":"Canvas Design","url":"https://www.openagentskill.com/skills/anthropic-canvas-design","stars":174615,"install_command":"npx skills add anthropics/skills --skill canvas-design","trust_score":90,"audit_score":93}],"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"github-agentic-eval","name":"agentic-eval","description":"Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when:\n- Implementing self-critique and reflection loops\n- Building evaluator-optimizer pipelines for quality-critical generation\n- Creating test-driven code refinement workflows\n- Designing rubric-based or LLM-as-judge evaluation systems\n- Adding iterative improvement to agent outputs (code, reports, analysis)\n- Measuring and improving agent response quality","category":"design-creative","url":"https://www.openagentskill.com/skills/github-agentic-eval","repository":"https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval","github_repo":"github/awesome-copilot"},"suited_tasks":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals","Inspect source files","Explain architecture","Patch bugs and verify changes","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add github/awesome-copilot --skill agentic-eval","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add github-agentic-eval"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"agentic-eval\" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval. 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: Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"github-agentic-eval\",\"task\":\"Install agentic-eval\",\"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 \"agentic-eval\" as a Claude Code skill from https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval. 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: Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"github-agentic-eval\",\"task\":\"Install agentic-eval\",\"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 \"agentic-eval\" from https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval 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: Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"github-agentic-eval\",\"task\":\"Install agentic-eval\",\"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/github-agentic-eval/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/github-agentic-eval"},"trust":{"score":86,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"39K GitHub stars","repoActivity":"39K stars, 4.9K forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval","install":"npx skills add github/awesome-copilot --skill agentic-eval","installSafety":"dynamic command execution, standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["design-creative","agent-skill"],"known_risks":[]},"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":90,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"allow","auto_install_allowed":true,"human_review_required":false,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow."},"quality":{"score":92,"label":"Excellent"},"supply":{"track":"Coding and developer agents","scenario":"Coding agents","maintenance":"4d since push","risk":"Safe to try"},"alternative_skills":[{"slug":"anthropic-frontend-design","name":"Frontend Design","url":"https://www.openagentskill.com/skills/anthropic-frontend-design","stars":174615,"install_command":"npx skills add anthropics/skills --skill frontend-design","trust_score":91,"audit_score":93},{"slug":"design-taste-frontend","name":"Taste Skill: Anti-Slop Frontend","url":"https://www.openagentskill.com/skills/design-taste-frontend","stars":84649,"install_command":"npx skills add Leonxlnx/taste-skill --skill design-taste-frontend","trust_score":94,"audit_score":96},{"slug":"vox-director","name":"Vox Director","url":"https://www.openagentskill.com/skills/vox-director","stars":1755,"install_command":"npx skills add Alisa0808/vox-director --skill vox-director","trust_score":86,"audit_score":92},{"slug":"anthropic-canvas-design","name":"Canvas Design","url":"https://www.openagentskill.com/skills/anthropic-canvas-design","stars":174615,"install_command":"npx skills add anthropics/skills --skill canvas-design","trust_score":90,"audit_score":93}],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","No major trust warnings detected from available metadata","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":"Evaluate agentic-eval before installing it in an AI agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"allow","minimum_review_before_use":["Trust: 86/100 Production candidate","Audit: 90/100 Safe to try","Safety: 82/100 Safe to install with normal review","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"github-agentic-eval (agentic-eval)","install_command":"npx skills add github/awesome-copilot --skill agentic-eval","risk_summary":"Safe to try; Reviewed; Low metadata risk","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"github-agentic-eval","task":"Evaluate agentic-eval before installing it in an AI 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/github-agentic-eval","api":"https://www.openagentskill.com/api/agent/skills/github-agentic-eval","audit":"https://www.openagentskill.com/skills/github-agentic-eval/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=github-agentic-eval&task=Evaluate%20agentic-eval%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20agentic-eval%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20agentic-eval%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/github-agentic-eval/install","manifest":"https://www.openagentskill.com/api/registry/manifest/github-agentic-eval"}},"endpoints":{"web":"https://www.openagentskill.com/skills/github-agentic-eval","api":"https://www.openagentskill.com/api/agent/skills/github-agentic-eval","eval":"https://www.openagentskill.com/api/agent/evals?slug=github-agentic-eval","audit":"https://www.openagentskill.com/skills/github-agentic-eval/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20agentic-eval%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium"}},"meta":{"endpoint":"/api/agent/evals","mode":"skill_eval","purpose":"Pre-install eval contract for a single skill. Agents should read this before installing a reusable skill.","generated_at":"2026-09-06T08:29:48.596Z"}}