Skill audit report
A Claude or Codex skill for deliberate skill development during AI-assisted coding
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
2.2K GitHub stars
Stars/forks activity
INFO77
2.2K stars, 74 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
3mo since push
License clarity
PASS86
CC-BY-4.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add DrCatHicks/learning-opportunities
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/DrCatHicks/learning-opportunities
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add DrCatHicks/learning-opportunities
Repository
88
https://github.com/DrCatHicks/learning-opportunities
License
86
CC-BY-4.0
Maintenance
76
3mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
77
2.2K stars, 74 forks; issue activity unavailable in current metadata
Adoption
88
2.2K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
Compare nearby options
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
175K Stars · Audit report
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
97K Stars · Audit report
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
92K Stars · Audit report