Skill audit report

Compose For Agents audit report.

Build and run AI agents using Docker Compose. A collection of ready-to-use examples for orchestrating open-source LLMs, tools, and agent runtimes.

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
92
Audit
89
Trust
87
Quality
97
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

89
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

980 GitHub stars

Recent maintenance

PASS

100

11d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

100

Metadata includes enough usage and workflow context

Dependency risk

INFO

80

external package install surface

Install availability

PASS

92

npx skills add docker/compose-for-agents

Repository evidence

PASS

86

https://github.com/docker/compose-for-agents

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 1 review

Install path

92

PASS

npx skills add docker/compose-for-agents

Repository

88

PASS

https://github.com/docker/compose-for-agents

License

86

PASS

Apache-2.0

Maintenance

100

PASS

11d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

100

PASS

Usable description available

Dependency risk

80

PASS

external package install surface

Adoption

88

PASS

980 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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