Skill audit report

design-ai-benchmarking Audit report.

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.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit
76
Audit
69
Trust
69
Quality
77
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

69
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

291 GitHub stars

Stars/forks activity

INFO

62

291 stars, 71 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

76

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add Aperivue/medsci-skills --skill design-ai-benchmarking

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

64

shell or command execution, database access

Repository evidence

PASS

86

https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 7 Needs review

Install path

92

PASS

npx skills add Aperivue/medsci-skills --skill design-ai-benchmarking

Repository

88

PASS

https://github.com/Aperivue/medsci-skills/tree/main/skills/design-ai-benchmarking

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

No critical security issues detected; the skill is advisory and uses standard file tools only.

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

64

CHECK

shell or command execution, database access

Stars/forks activity

62

CHECK

291 stars, 71 forks; issue activity unavailable in current metadata

Adoption

68

INFO

291 GitHub stars

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

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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