Skill audit report

Llamafarm audit report.

Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
91
Audit
88
Trust
86
Quality
96
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

88
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

INFO

76

831 GitHub stars

Recent maintenance

PASS

100

5d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

82

database surface

Install availability

PASS

92

npx skills add llama-farm/llamafarm

Repository evidence

PASS

86

https://github.com/llama-farm/llamafarm

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 1 review

Install path

92

PASS

npx skills add llama-farm/llamafarm

Repository

88

PASS

https://github.com/llama-farm/llamafarm

License

86

PASS

Apache-2.0

Maintenance

100

PASS

5d 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

Adoption

88

PASS

831 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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