Skill audit report
Measure and improve Palot desktop runtime performance. Use for reported slowness or regressions; profiling CPU, memory, long tasks, React commits, style/layout/paint cost, GPU compositing, frame pacing, or streaming latency; changing the performance harness; React Scan or Compiler experiments; or performance budgets. Use test-palot-desktop for non-performance UI QA.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
182 GitHub stars
Stars/forks activity
WARN57
182 stars, 26 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add ItsWendell/palot --skill palot-performance
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/ItsWendell/palot/tree/main/.agents/skills/palot-performance
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add ItsWendell/palot --skill palot-performance
Repository
88
https://github.com/ItsWendell/palot/tree/main/.agents/skills/palot-performance
License
86
MIT
Maintenance
100
11d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
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
62
shell or command execution, filesystem or document access
Stars/forks activity
57
182 stars, 26 forks; issue activity unavailable in current metadata
Adoption
68
182 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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