Skill audit report
Contribute to the RubyLLM AI framework - set up the repo, run and record specs, work on conversations, individual AI operations, providers, protocols, Rails integration, and docs. Use when fixing a bug, building a feature, writing specs, or changing documentation in the RubyLLM codebase.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
4.4K GitHub stars
Stars/forks activity
PASS83
4.4K stars, 498 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add crmne/ruby_llm --skill contributing
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/crmne/ruby_llm/tree/main/.claude/skills/contributing
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add crmne/ruby_llm --skill contributing
Repository
88
https://github.com/crmne/ruby_llm/tree/main/.claude/skills/contributing
License
86
MIT
Maintenance
100
2d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
83
4.4K stars, 498 forks; issue activity unavailable in current metadata
Adoption
88
4.4K 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.
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