Skill audit report

Langchain Course audit report.

A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.

VERIFIED · ALLOWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
94
Audit
94
Trust
97
Quality
97
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

94
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

1.5K GitHub stars

Recent maintenance

PASS

88

2mo 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

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add emarco177/langchain-course

Repository evidence

PASS

86

https://github.com/emarco177/langchain-course

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 0 review

Install path

92

PASS

npx skills add emarco177/langchain-course

Repository

88

PASS

https://github.com/emarco177/langchain-course

License

86

PASS

Apache-2.0

Maintenance

88

PASS

2mo 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

1.5K 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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