Skill audit report

InternLM audit report.

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

REVIEWED · ALLOWSafe to tryGenerated Jun 19, 2026Heuristic metadata audit
87
Audit
91
Trust
92
Quality
89
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

91
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

94

7.2K GitHub stars

Stars/forks activity

PASS

88

7.2K stars, 507 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

62

8mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add InternLM/InternLM

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/InternLM/InternLM

Review status

PASS

88

AI review data available

Checks

Install and adoption review

10 passed · 1 review

Install path

92

PASS

npx skills add InternLM/InternLM

Repository

88

PASS

https://github.com/InternLM/InternLM

License

86

PASS

Apache-2.0

Maintenance

62

CHECK

8mo 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

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

88

PASS

7.2K stars, 507 forks; issue activity unavailable in current metadata

Adoption

88

PASS

7.2K 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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