Skill audit report
A remote write can answer "ok" and still have discarded what you sent, saying so only in a secondary field riding along with the success. Model accepted-but-discarded as its own outcome, read that field on every write, and log a discard loudly. Reach for it when a submission reports success on every call and the data never appears on the other side.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
202 GitHub stars
Stars/forks activity
WARN51
202 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
26d since push
License clarity
PASS86
GPL-3.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add maxrave-dev/kotlin-footguns --skill api-ok-but-ignored
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/maxrave-dev/kotlin-footguns/tree/main/skills/api-ok-but-ignored
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 api-ok-but-ignored
Repository
88
https://github.com/maxrave-dev/kotlin-footguns/tree/main/skills/api-ok-but-ignored
License
86
GPL-3.0
Maintenance
100
26d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
51
202 stars, 6 forks; issue activity unavailable in current metadata
Adoption
68
202 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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