Skill audit report

Claude Agents Library audit report.

Claude Agents Library

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
83
Audit
81
Trust
74
Quality
92
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

81
Strong shortlist

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

76

745 GitHub stars

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

WARN

50

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add aiagentskit/claude-agents-library

Repository evidence

PASS

86

https://github.com/aiagentskit/claude-agents-library

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 4 review

Install path

92

PASS

npx skills add aiagentskit/claude-agents-library

Repository

88

PASS

https://github.com/aiagentskit/claude-agents-library

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

50

CHECK

Description is too thin for confident adoption

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

745 GitHub stars

Warnings

  • Documentation summary is thin
  • Quality score needs review
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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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