Skill audit report

Agmsg audit report.

Cross-vendor messaging for CLI AI coding agents — let Claude Code, Codex, Gemini & Copilot talk to each other in one team. Bash + SQLite, no daemon, no framework.

EXPERIMENTAL · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
89
Audit
85
Trust
85
Quality
93
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

85
Strong shortlist

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

578 GitHub stars

Recent maintenance

PASS

100

Pushed today

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

INFO

64

command execution surface, database surface

Install availability

PASS

92

npx skills add fujibee/agmsg

Repository evidence

PASS

86

https://github.com/fujibee/agmsg

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 2 review

Install path

92

PASS

npx skills add fujibee/agmsg

Repository

88

PASS

https://github.com/fujibee/agmsg

License

86

PASS

MIT

Maintenance

100

PASS

Pushed today

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

64

CHECK

command execution surface, database surface

Adoption

88

PASS

578 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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