Skill audit report

Gensim audit report.

Topic Modelling for Humans

REVIEWEDREVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
89
Audit
89
Trust
97
Quality
96
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

89
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

16K GitHub stars

Recent maintenance

INFO

62

8mo since push

License clarity

PASS

86

LGPL-2.1

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add piskvorky/gensim

Repository evidence

PASS

86

https://github.com/piskvorky/gensim

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed 路 2 review

Install path

92

PASS

npx skills add piskvorky/gensim

Repository

88

PASS

https://github.com/piskvorky/gensim

License

86

PASS

LGPL-2.1

Maintenance

62

CHECK

8mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

16K GitHub stars

Warnings

  • Documentation summary is thin

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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