Skill audit report
Kotlin Multiplatform structure and language traps: module splits, expect/actual, Koin and ViewModel scoping, layers, version catalogs, erased overloads, Char and string-resource formatting limits. Use when shaping modules or DI, when a format specifier renders verbatim, or code misbehaves on one platform.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
715 GitHub stars
Stars/forks activity
WARN60
715 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d since push
License clarity
PASS86
GPL-3.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
external package install surface, network or browser surface
Install availability
PASS92
npx skills add maxrave-dev/kotlin-footguns --skill kmp-architecture-footguns
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/maxrave-dev/kotlin-footguns/tree/main/skills/kmp-architecture-footguns
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add maxrave-dev/kotlin-footguns --skill kmp-architecture-footguns
Repository
88
https://github.com/maxrave-dev/kotlin-footguns/tree/main/skills/kmp-architecture-footguns
License
86
GPL-3.0
Maintenance
100
11d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
external package install surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
36
shell or command execution, filesystem or document access
Stars/forks activity
60
715 stars, 6 forks; issue activity unavailable in current metadata
Adoption
88
715 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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