Skill audit report

Vibecosystem audit report.

AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution.

REVIEWED · REVIEWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit
89
Audit
87
Trust
84
Quality
89
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

87
Production candidate

Stars, maintenance, license, docs, install safety, permission surface, 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

503 GitHub stars

Stars/forks activity

INFO

65

503 stars, 42 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

6d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add vibeeval/vibecosystem

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/vibeeval/vibecosystem

Review status

PASS

88

AI review data available

Checks

Install and adoption review

10 passed · 2 review

Install path

92

PASS

npx skills add vibeeval/vibecosystem

Repository

88

PASS

https://github.com/vibeeval/vibecosystem

License

86

PASS

MIT

Maintenance

100

PASS

6d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

65

CHECK

503 stars, 42 forks; issue activity unavailable in current metadata

Adoption

88

PASS

503 GitHub stars

Warnings

  • 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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