Skill audit report
Refine, cluster, and accept draft criteria into the published goldset. Isolates 20% holdout split and publishes goldset.md + goldset.json.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
132 GitHub stars
Stars/forks activity
WARN51
132 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add tikalk/adlc-team-skills --skill evals-clarify
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/tikalk/adlc-team-skills/tree/main/skills/evals/evals-clarify
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add tikalk/adlc-team-skills --skill evals-clarify
Repository
88
https://github.com/tikalk/adlc-team-skills/tree/main/skills/evals/evals-clarify
License
86
MIT
Maintenance
88
1mo since push
AI review
55
SKILL.md excerpt appears truncated at the end, but the provided content is complete enough for evaluation.
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
51
132 stars, 1 forks; issue activity unavailable in current metadata
Adoption
68
132 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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