Skill audit report
Use when reviewing KMP architecture, feature proposals, PR structure, layer boundaries, state-holder design, Android entry-point discipline, source-set placement, modularization, and long-term maintainability in Kotlin Multiplatform / Compose Multiplatform projects.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
74 GitHub stars
Stars/forks activity
WARN43
74 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, database surface
Install availability
PASS92
npx skills add mmiani/kotlin-kmp-claude-agent-skills --skill kotlin-project-architecture-review
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/mmiani/kotlin-kmp-claude-agent-skills/tree/main/skills/kotlin-project-architecture-review
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add mmiani/kotlin-kmp-claude-agent-skills --skill kotlin-project-architecture-review
Repository
88
https://github.com/mmiani/kotlin-kmp-claude-agent-skills/tree/main/skills/kotlin-project-architecture-review
License
86
Apache-2.0
Maintenance
88
1mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, database surface
Install command safety
92
standard package or runtime install path
Permission surface
48
secrets or environment access, filesystem or document access
Stars/forks activity
43
74 stars, 7 forks; issue activity unavailable in current metadata
Adoption
68
74 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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