Skill audit report
Claude Skills Llm Council audit report.
LLM Council — a Claude Code skill that runs your decisions through 5 AI advisors with peer review
OpenAgentSkill Trust Score
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
INFO76
563 GitHub stars
Recent maintenance
PASS88
2mo since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add aiwithremy/claude-skills-llm-council
Repository evidence
PASS86
https://github.com/aiwithremy/claude-skills-llm-council
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add aiwithremy/claude-skills-llm-council
Repository
88
https://github.com/aiwithremy/claude-skills-llm-council
License
45
Unknown
Maintenance
88
2mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
563 GitHub stars
Warnings
- License is unclear
- Quality score needs review
- License clarity: Unknown
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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