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Skill audit report

TensorFlow Book audit report.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

REVIEWED 路 REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
76
Audit
82
Trust
77
Quality
97
Security
20
Maintain
92
Install

OpenAgentSkill Trust Score

82
Strong shortlist

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

86

4.4K GitHub stars

Recent maintenance

FAIL

22

3y 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 BinRoot/TensorFlow-Book

Repository evidence

PASS

86

https://github.com/BinRoot/TensorFlow-Book

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed 路 5 review

Install path

92

PASS

npx skills add BinRoot/TensorFlow-Book

Repository

88

PASS

https://github.com/BinRoot/TensorFlow-Book

License

86

PASS

MIT

Maintenance

20

FIX

3y 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

4.4K GitHub stars

Warnings

  • Repository appears stale
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 3y 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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