Skill audit report

Command Code audit report.

Command Code AI

REVIEWED · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
89
Audit
82
Trust
96
Quality
81
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

82
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

PASS

86

3.4K GitHub stars

Recent maintenance

PASS

100

28d since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

WARN

50

Public metadata needs stronger README/SKILL.md context

Dependency risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add CommandCodeAI/command-code

Repository evidence

PASS

86

https://github.com/CommandCodeAI/command-code

Review status

PASS

88

AI review data available

Checks

Install and adoption review

5 passed · 7 review

Install path

92

PASS

npx skills add CommandCodeAI/command-code

Repository

88

PASS

https://github.com/CommandCodeAI/command-code

License

45

CHECK

Unknown

Maintenance

100

PASS

28d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

50

CHECK

Description is too thin for confident adoption

Dependency risk

72

CHECK

command execution surface

Adoption

88

PASS

3.4K GitHub stars

Warnings

  • License is unclear
  • Documentation summary is thin
  • License clarity: Unknown
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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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