Skill audit report
Explain what a specific piece of code actually does for a given input by producing a step-by-step execution trace (interprocedural, with name resolution and type transitions). Trigger when the user is confused about behavior or asks why code produces X instead of Y — "walk me through this", "trace through X with input Y", "why does this return X", "what does yield-from do here", "explain the execution path". SCOPE HARD RULE: a specific function + a specific input scenario. If the user wants to find bugs without a scenario in mind, use logic-review; two-version comparison uses logic-diff; concrete failures use logic-locate; codebase-wide audit uses logic-health. Do NOT trigger for: finding bugs without a behavioral question, style or design discussion, or concept explanations not tied to specific code.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
22 GitHub stars
Stars/forks activity
FAIL32
22 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
24d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add hyhmrright/logic-lens --skill logic-explain
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/hyhmrright/logic-lens/tree/main/skills/logic-explain
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add hyhmrright/logic-lens --skill logic-explain
Repository
88
https://github.com/hyhmrright/logic-lens/tree/main/skills/logic-explain
License
86
MIT
Maintenance
100
24d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
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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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
100
no high-risk permission surface in public metadata
Stars/forks activity
32
22 stars, 2 forks; issue activity unavailable in current metadata
Adoption
42
22 GitHub stars
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.