Skill audit report
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
89 GitHub stars
Stars/forks activity
WARN43
89 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
26d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add mturac/everything-openai-codex --skill documentation-lookup
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
secrets or environment access, network or browser access
Repository evidence
PASS86
https://github.com/mturac/everything-openai-codex/tree/main/.agents/skills/documentation-lookup
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add mturac/everything-openai-codex --skill documentation-lookup
Repository
88
https://github.com/mturac/everything-openai-codex/tree/main/.agents/skills/documentation-lookup
License
86
MIT
Maintenance
100
26d since push
AI review
55
The skill depends on the Context7 MCP server being configured in the harness; if not present, the skill cannot function. This is an external dependency but not a security risk.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
60
secrets or environment access, network or browser access
Stars/forks activity
43
89 stars, 2 forks; issue activity unavailable in current metadata
Adoption
68
89 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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