{"eval":{"version":"openagentskill-skill-eval-v1","slug":"aperivue-design-ai-benchmarking","name":"design-ai-benchmarking","generated_at":"2026-09-06T17:47:43.947Z","task_input":"Evaluate design-ai-benchmarking before installing it in an AI agent workflow","status":"review","score":70,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"task_fit":{"score":94,"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"install":{"command":"npx skills add Aperivue/medsci-skills --skill design-ai-benchmarking","ready":true,"policy":"review","safety_label":"Avoid automatic install","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 aperivue-design-ai-benchmarking"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"design-ai-benchmarking\" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking. 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: Design and validity review for studies that benchmark one or more AI systems against a human-expert panel as the reference. Covers the evaluation question and arm definition, decoupled multi-dimensional rubrics with anchors, planted calibration probes, reviewer-panel construction, inter-rater reliability targets, LLM-as-judge versus human-as-judge adjudication, construct-independence guards, and a structured rating-export schema. Use before data collection on an AI-vs-expert evaluation. 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\":\"aperivue-design-ai-benchmarking\",\"task\":\"Install design-ai-benchmarking\",\"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 \"design-ai-benchmarking\" as a Claude Code skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking. 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: Design and validity review for studies that benchmark one or more AI systems against a human-expert panel as the reference. Covers the evaluation question and arm definition, decoupled multi-dimensional rubrics with anchors, planted calibration probes, reviewer-panel construction, inter-rater reliability targets, LLM-as-judge versus human-as-judge adjudication, construct-independence guards, and a structured rating-export schema. Use before data collection on an AI-vs-expert evaluation. 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\":\"aperivue-design-ai-benchmarking\",\"task\":\"Install design-ai-benchmarking\",\"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 \"design-ai-benchmarking\" from https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking 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: Design and validity review for studies that benchmark one or more AI systems against a human-expert panel as the reference. Covers the evaluation question and arm definition, decoupled multi-dimensional rubrics with anchors, planted calibration probes, reviewer-panel construction, inter-rater reliability targets, LLM-as-judge versus human-as-judge adjudication, construct-independence guards, and a structured rating-export schema. Use before data collection on an AI-vs-expert evaluation. 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\":\"aperivue-design-ai-benchmarking\",\"task\":\"Install design-ai-benchmarking\",\"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":70,"label":"Manual review","version":"trust-score-v4","evidence":{"stars":"283 GitHub stars","repoActivity":"283 stars, 69 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking","install":"npx skills add Aperivue/medsci-skills --skill design-ai-benchmarking","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, database access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["No critical security issues detected; the skill is advisory and uses standard file tools only.","The SKILL.md excerpt is truncated in the review material, but the provided content is coherent and complete enough for assessment.","Quality score needs review"]},"safety_gate":{"score":46,"tier":"experimental","label":"Experimental","auto_install_policy":"review","blocked":false,"permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"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"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","No critical security issues detected; the skill is advisory and uses standard file tools only."]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate design-ai-benchmarking before installing it in an AI agent workflow","design-creative","Research agents workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add Aperivue/medsci-skills --skill design-ai-benchmarking"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add Aperivue/medsci-skills --skill design-ai-benchmarking"]},{"id":"trust_score","label":"Trust score","status":"warn","score":70,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","283 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":78,"required_for_auto_install":true,"detail":"Needs review","evidence":["No critical security issues detected; the skill is advisory and uses standard file tools only."]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":46,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"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":"Pushed today","evidence":["Pushed today"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":64,"required_for_auto_install":true,"detail":"shell or command execution, database access","evidence":["Shell or command execution: high","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":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Permission surface: shell or command execution, database access","High-risk permission hints: Shell or command execution","No critical security issues detected; the skill is advisory and uses standard file tools only.","The SKILL.md excerpt is truncated in the review material, but the provided content is coherent and complete enough for assessment.","Quality score needs review"],"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","production agents without a repository review","No critical security issues detected; the skill is advisory and uses standard file tools only.","High-risk permission hints: Shell or command execution","The SKILL.md excerpt is truncated in the review material, but the provided content is coherent and complete enough for assessment.","Quality score needs review","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":"aperivue-design-ai-benchmarking","name":"design-ai-benchmarking","description":"Design and validity review for studies that benchmark one or more AI systems against a human-expert panel as the reference. Covers the evaluation question and arm definition, decoupled multi-dimensional rubrics with anchors, planted calibration probes, reviewer-panel construction, inter-rater reliability targets, LLM-as-judge versus human-as-judge adjudication, construct-independence guards, and a structured rating-export schema. Use before data collection on an AI-vs-expert evaluation.","category":"design-creative","url":"https://www.openagentskill.com/skills/aperivue-design-ai-benchmarking","repository":"https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking","github_repo":"Aperivue/medsci-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add Aperivue/medsci-skills --skill design-ai-benchmarking","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 aperivue-design-ai-benchmarking"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"design-ai-benchmarking\" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking. 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: Design and validity review for studies that benchmark one or more AI systems against a human-expert panel as the reference. Covers the evaluation question and arm definition, decoupled multi-dimensional rubrics with anchors, planted calibration probes, reviewer-panel construction, inter-rater reliability targets, LLM-as-judge versus human-as-judge adjudication, construct-independence guards, and a structured rating-export schema. Use before data collection on an AI-vs-expert evaluation. 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\":\"aperivue-design-ai-benchmarking\",\"task\":\"Install design-ai-benchmarking\",\"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 \"design-ai-benchmarking\" as a Claude Code skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking. 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: Design and validity review for studies that benchmark one or more AI systems against a human-expert panel as the reference. Covers the evaluation question and arm definition, decoupled multi-dimensional rubrics with anchors, planted calibration probes, reviewer-panel construction, inter-rater reliability targets, LLM-as-judge versus human-as-judge adjudication, construct-independence guards, and a structured rating-export schema. Use before data collection on an AI-vs-expert evaluation. 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\":\"aperivue-design-ai-benchmarking\",\"task\":\"Install design-ai-benchmarking\",\"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 \"design-ai-benchmarking\" from https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking 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: Design and validity review for studies that benchmark one or more AI systems against a human-expert panel as the reference. Covers the evaluation question and arm definition, decoupled multi-dimensional rubrics with anchors, planted calibration probes, reviewer-panel construction, inter-rater reliability targets, LLM-as-judge versus human-as-judge adjudication, construct-independence guards, and a structured rating-export schema. Use before data collection on an AI-vs-expert evaluation. 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\":\"aperivue-design-ai-benchmarking\",\"task\":\"Install design-ai-benchmarking\",\"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/aperivue-design-ai-benchmarking/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/aperivue-design-ai-benchmarking"},"trust":{"score":70,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"283 GitHub stars","repoActivity":"283 stars, 69 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking","install":"npx skills add Aperivue/medsci-skills --skill design-ai-benchmarking","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, database 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":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["No critical security issues detected; the skill is advisory and uses standard file tools only.","Quality score needs review"]},"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":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["No critical security issues detected; the skill is advisory and uses standard file tools only.","The SKILL.md excerpt is truncated in the review material, but the provided content is coherent and complete enough for assessment.","Quality score needs review"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":71,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"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","production agents without a repository review","No critical security issues detected; the skill is advisory and uses standard file tools only.","High-risk permission hints: Shell or command execution","The SKILL.md excerpt is truncated in the review material, but the provided content is coherent and complete enough for assessment.","Quality score needs review","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 design-ai-benchmarking before installing it in an AI agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 70/100 Manual review","Audit: 78/100 Needs review","Safety: 46/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"aperivue-design-ai-benchmarking (design-ai-benchmarking)","install_command":"npx skills add Aperivue/medsci-skills --skill design-ai-benchmarking","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"aperivue-design-ai-benchmarking","task":"Evaluate design-ai-benchmarking 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/aperivue-design-ai-benchmarking","api":"https://www.openagentskill.com/api/agent/skills/aperivue-design-ai-benchmarking","audit":"https://www.openagentskill.com/skills/aperivue-design-ai-benchmarking/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aperivue-design-ai-benchmarking&task=Evaluate%20design-ai-benchmarking%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20design-ai-benchmarking%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20design-ai-benchmarking%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/aperivue-design-ai-benchmarking/install","manifest":"https://www.openagentskill.com/api/registry/manifest/aperivue-design-ai-benchmarking"}},"endpoints":{"web":"https://www.openagentskill.com/skills/aperivue-design-ai-benchmarking","api":"https://www.openagentskill.com/api/agent/skills/aperivue-design-ai-benchmarking","eval":"https://www.openagentskill.com/api/agent/evals?slug=aperivue-design-ai-benchmarking","audit":"https://www.openagentskill.com/skills/aperivue-design-ai-benchmarking/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20design-ai-benchmarking%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":"2026-09-06T17:47:43.947Z"}}