Skill audit report

Python Machine Learning Book audit report.

The "Python Machine Learning (1st edition)" book code repository and info resource

REVIEWEDREVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
82
Audit
87
Trust
83
Quality
97
Security
38
Maintain
92
Install

OpenAgentSkill Trust Score

87
Production candidate

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

PASS

100

13K GitHub stars

Recent maintenance

FAIL

38

2y since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add rasbt/python-machine-learning-book

Repository evidence

PASS

86

https://github.com/rasbt/python-machine-learning-book

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed 路 4 review

Install path

92

PASS

npx skills add rasbt/python-machine-learning-book

Repository

88

PASS

https://github.com/rasbt/python-machine-learning-book

License

86

PASS

MIT

Maintenance

38

FIX

2y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

13K GitHub stars

Warnings

  • Repository appears stale
  • Repository looks stale
  • Recent maintenance: 2y 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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