Skill audit report
ML For Beginners audit report.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, 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
PASS100
87K GitHub stars
Stars/forks activity
PASS100
87K stars, 21K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add microsoft/ML-For-Beginners
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/microsoft/ML-For-Beginners
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add microsoft/ML-For-Beginners
Repository
88
https://github.com/microsoft/ML-For-Beginners
License
86
MIT
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
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
86
filesystem or document access
Stars/forks activity
100
87K stars, 21K forks; issue activity unavailable in current metadata
Adoption
88
87K GitHub stars
Warnings
No major warnings detected from available metadata.
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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