Skill audit report

Zotero AI Butler audit report.

【Zotero AI 管家】调用大模型,自动精读论文库里的论文,总结为Zotero笔记。支持主流大模型平台!您只需像往常一样把文献丢进 Zotero, 管家会自动帮您精读论文,将文章揉碎了总结为笔记,让您“十分钟完全了解”这篇论文!

VERIFIED · ALLOWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
97
Audit
96
Trust
100
Quality
97
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

96
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

86

1.4K GitHub stars

Recent maintenance

PASS

100

7d since push

License clarity

PASS

86

AGPL-3.0

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 steven-jianhao-li/zotero-AI-Butler

Repository evidence

PASS

86

https://github.com/steven-jianhao-li/zotero-AI-Butler

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 0 review

Install path

92

PASS

npx skills add steven-jianhao-li/zotero-AI-Butler

Repository

88

PASS

https://github.com/steven-jianhao-li/zotero-AI-Butler

License

86

PASS

AGPL-3.0

Maintenance

100

PASS

7d 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

1.4K GitHub stars

Warnings

No major warnings detected from available metadata.

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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