Skill audit report

Lamina Audit report.

Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship.

EXPERIMENTAL · REVIEWSafe to tryGenerated Aug 4, 2026Heuristic metadata audit
84
Audit
77
Trust
79
Quality
84
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

77
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

48

68 GitHub stars

Stars/forks activity

WARN

43

68 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

7d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

100

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

62

command execution surface, external package install surface

Install availability

PASS

92

npx skills add aryaniyaps/lamina

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

76

shell or command execution

Repository evidence

PASS

86

https://github.com/aryaniyaps/lamina

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 6 Needs review

Install path

92

PASS

npx skills add aryaniyaps/lamina

Repository

88

PASS

https://github.com/aryaniyaps/lamina

License

86

PASS

Apache-2.0

Maintenance

100

PASS

7d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

100

PASS

Usable description available

Dependency risk

62

CHECK

command execution surface, external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

76

CHECK

shell or command execution

Stars/forks activity

43

FIX

68 stars, 3 forks; issue activity unavailable in current metadata

Adoption

68

INFO

68 GitHub stars

Warnings

  • Quality score needs review
  • GitHub adoption: 68 GitHub stars
  • Stars/forks activity: 68 stars, 3 forks; issue activity unavailable in current metadata

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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