Skill audit report

ArXivChatGuru audit report.

Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.

REVIEWED · REVIEWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit
84
Audit
84
Trust
79
Quality
86
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

84
Strong shortlist

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

INFO

76

563 GitHub stars

Stars/forks activity

INFO

71

563 stars, 76 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

database surface

Install availability

PASS

92

npx skills add redis-developer/ArXivChatGuru

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

74

filesystem or document access, database access

Repository evidence

PASS

86

https://github.com/redis-developer/ArXivChatGuru

Review status

PASS

88

AI review data available

Checks

Install and adoption review

9 passed · 3 review

Install path

92

PASS

npx skills add redis-developer/ArXivChatGuru

Repository

88

PASS

https://github.com/redis-developer/ArXivChatGuru

License

86

PASS

MIT

Maintenance

88

PASS

3mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

74

CHECK

filesystem or document access, database access

Stars/forks activity

71

CHECK

563 stars, 76 forks; issue activity unavailable in current metadata

Adoption

88

PASS

563 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.

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