Skill audit report

Anton audit report.

AI coworker

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
87
Audit
83
Trust
80
Quality
92
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

83
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

687 GitHub stars

Recent maintenance

PASS

100

Pushed today

License clarity

PASS

86

MIT

README/SKILL.md completeness

WARN

50

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add mindsdb/anton

Repository evidence

PASS

86

https://github.com/mindsdb/anton

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 4 review

Install path

92

PASS

npx skills add mindsdb/anton

Repository

88

PASS

https://github.com/mindsdb/anton

License

86

PASS

MIT

Maintenance

100

PASS

Pushed today

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

50

CHECK

Description is too thin for confident adoption

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

687 GitHub stars

Warnings

  • Documentation summary is thin
  • Quality score needs review
  • 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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