Skill audit report

Contextualized Topic Models audit report.

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

REVIEWED · REVIEWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Production candidate

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

PASS

1.3K GitHub stars

Stars/forks activity

INFO

1.3K stars, 154 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

11mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add MilaNLProc/contextualized-topic-models

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

filesystem or document access

Repository evidence

PASS

https://github.com/MilaNLProc/contextualized-topic-models

Review status

PASS

AI review data available

Checks

Install and adoption review

9 passed · 3 review

Install path

PASS

npx skills add MilaNLProc/contextualized-topic-models

Repository

PASS

https://github.com/MilaNLProc/contextualized-topic-models

License

PASS

MIT

Maintenance

CHECK

11mo since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

no major dependency risk hints in public metadata

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

filesystem or document access

Stars/forks activity

CHECK

1.3K stars, 154 forks; issue activity unavailable in current metadata

Adoption

PASS

1.3K GitHub stars

Warnings

Quality score needs review

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.

Install path

Review the report before installing into production agents.

$ npx skills add MilaNLProc/contextualized-topic-models

Signals

Audit score: 84/100
Quality: 84/100
Trust: 89/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 11mo since push
Events: No events yet
GitHub stars: 1.3K
Last push: Jul 24, 2025

Agent safety v2

68/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Safe-to-try audit
68/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Quality score needs review

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