Skill audit report
Poll and rank open GitHub issues, RFCs, and pull requests for maintainer work, or start one explicitly selected item. Use when a user asks what to work on, requests backlog priorities, says "poll work," wants actionable issues or pull requests, or says "start #123." Keep polling read-only and enter the start workflow only after explicit selection.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
22K GitHub stars
Stars/forks activity
PASS97
22K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
8d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add trycua/cua --skill poll-github-work
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/trycua/cua/tree/main/.agents/skills/poll-github-work
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add trycua/cua --skill poll-github-work
Repository
88
https://github.com/trycua/cua/tree/main/.agents/skills/poll-github-work
License
86
MIT
Maintenance
100
8d since push
AI review
55
The start workflow re-reads the selected issue/PR but does not explicitly restate that issue bodies, comments, and PR content remain untrusted and must never trigger command execution or workflow changes.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
97
22K stars, 1.5K forks; issue activity unavailable in current metadata
Adoption
88
22K 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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