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Skill audit report

LlamaIndex audit report.

Data framework for building RAG and knowledge workflows around agent tasks.

REVIEWED · REVIEWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit
92
Audit
86
Trust
100
Quality
84
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

86
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

100

42K GitHub stars

Stars/forks activity

INFO

75

42K stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

16d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

WARN

50

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add run-llama/llama_index

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/run-llama/llama_index

Review status

PASS

90

AI review data available

Checks

Install and adoption review

9 passed · 4 review

Install path

92

PASS

npx skills add run-llama/llama_index

Repository

88

PASS

https://github.com/run-llama/llama_index

License

86

PASS

MIT

Maintenance

100

PASS

16d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

50

CHECK

Description is too thin for confident adoption

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

75

CHECK

42K stars, 0 forks; issue activity unavailable in current metadata

Adoption

88

PASS

42K GitHub stars

Warnings

  • Documentation summary is thin
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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.