Skill audit report
Optimizes a measured latency, throughput, memory, CPU, or I/O problem through profiling and keep-or-discard experiments. Use for a known bottleneck; not unbiased A/B comparison.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
556 GitHub stars
Stars/forks activity
INFO71
556 stars, 83 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add levnikolaevich/claude-code-skills --skill ln-31-performance-optimizer
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/levnikolaevich/claude-code-skills/tree/master/plugins/optimization-suite/skills/ln-31-performance-optimizer
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add levnikolaevich/claude-code-skills --skill ln-31-performance-optimizer
Repository
88
https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/optimization-suite/skills/ln-31-performance-optimizer
License
86
MIT
Maintenance
100
10d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
database 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
71
556 stars, 83 forks; issue activity unavailable in current metadata
Adoption
88
556 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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