Skill audit report
Cml audit report.
♾️ CML - Continuous Machine Learning | CI/CD for ML
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
4.2K GitHub stars
Recent maintenance
FAIL38
1y since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency risk
INFO72
command execution surface
Install availability
PASS92
npx skills add iterative/cml
Repository evidence
PASS86
https://github.com/iterative/cml
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add iterative/cml
Repository
88
https://github.com/iterative/cml
License
86
Apache-2.0
Maintenance
38
1y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Adoption
88
4.2K GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 1y since push
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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