Skill audit report
Find authoritative sources on the web (or via documentation MCP servers like Context7/DeepWiki), download or snapshot them when allowed, normalize them into clean Markdown, and stage them for the library-wiki. Use whenever a new library/spec/API/standard is being added, a wiki page is stale, an ADR needs current evidence, or a behavior best practice needs verification. Always prefer official upstream sources and version-pinned content over training data.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
33 GitHub stars
Stars/forks activity
WARN43
33 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
20d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO74
network or browser surface, database surface
Install availability
PASS92
npx skills add llopresto87/Cypress --skill research-and-ingest
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/llopresto87/Cypress/tree/main/skills/research-and-ingest
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add llopresto87/Cypress --skill research-and-ingest
Repository
88
https://github.com/llopresto87/Cypress/tree/main/skills/research-and-ingest
License
86
MIT
Maintenance
100
20d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
74
network or browser surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
60
filesystem or document access, network or browser access
Stars/forks activity
43
33 stars, 1 forks; issue activity unavailable in current metadata
Adoption
42
33 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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