Skill audit report
Define authoritative runtime product truth across actors and views. Use when modeling domain behavior, setting product density, specifying side effects, protecting invariants, choosing consistency guarantees, handling retries or concurrent actions, defining time semantics and prerequisites, drawing ownership boundaries, or keeping views coherent. Use lamina-systems for causal loops and change over time, and lamina-ux for interaction expression.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
114 GitHub stars
Stars/forks activity
WARN51
114 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add aryaniyaps/lamina --skill lamina-product-behavior
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/aryaniyaps/lamina/tree/main/skills/lamina-product-behavior
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add aryaniyaps/lamina --skill lamina-product-behavior
Repository
88
https://github.com/aryaniyaps/lamina/tree/main/skills/lamina-product-behavior
License
86
Apache-2.0
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
51
114 stars, 3 forks; issue activity unavailable in current metadata
Adoption
68
114 GitHub stars
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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