Skill audit report
A collection of reusable AI agent skills for personal operators, covering decisions, research, second-brain workflows, and more, designed for Claude Code, Codex, and Cursor.
OpenAgentSkill Trust Score
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
INFO62
204 GitHub stars
Stars/forks activity
WARN57
204 stars, 22 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
1d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add coreyhaines31/makerskills
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/coreyhaines31/makerskills
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add coreyhaines31/makerskills
Repository
88
https://github.com/coreyhaines31/makerskills
License
86
MIT
Maintenance
100
1d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
94
Usable description available
Dependency risk
54
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
50
secrets or environment access, shell or command execution
Stars/forks activity
57
204 stars, 22 forks; issue activity unavailable in current metadata
Adoption
68
204 GitHub stars
Warnings
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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