Skill 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.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
986 GitHub stars
Stars/forks activity
INFO77
986 stars, 443 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
3mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS100
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO80
external package install surface
Install availability
PASS92
npx skills add docker/compose-for-agents
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/docker/compose-for-agents
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add docker/compose-for-agents
Repository
88
https://github.com/docker/compose-for-agents
License
86
Apache-2.0
Maintenance
76
3mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
100
Usable description available
Dependency risk
80
external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
77
986 stars, 443 forks; issue activity unavailable in current metadata
Adoption
88
986 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
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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