Skill audit report

Fashion Mnist audit report.

A MNIST-like fashion product database. Benchmark :point_down:

EXPERIMENTALREVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
77
Audit
80
Trust
83
Quality
95
Security
20
Maintain
92
Install

OpenAgentSkill Trust Score

80
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

100

13K GitHub stars

Recent maintenance

FAIL

22

4y since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

82

database surface

Install availability

PASS

92

npx skills add zalandoresearch/fashion-mnist

Repository evidence

PASS

86

https://github.com/zalandoresearch/fashion-mnist

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 zalandoresearch/fashion-mnist

Repository

88

PASS

https://github.com/zalandoresearch/fashion-mnist

License

86

PASS

MIT

Maintenance

20

FIX

4y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

82

PASS

database surface

Adoption

88

PASS

13K GitHub stars

Warnings

  • Repository appears stale
  • Repository looks stale
  • Recent maintenance: 4y 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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