Skill audit report
Run a multi-lens agent QA sweep of the RUNNING product: spawn `qa` agents (one per lens — user-flow · edge-state · honesty · contract · ux-critique), collect their structured findings, integrator-verify the load-bearing ones, and land verified findings as backlog tickets + a run record in the project's qa/ folder. Use whenever the user asks to QA, test, or probe the product from the user's side — "qa sweep", "test the UI", "walk the flows", "find inconsistencies", "check how this looks to a client" — and proactively after integrating any large UI slice, before a milestone, or when a manual walk found one bug and siblings are likely. Trigger even when the user names only one angle (e.g. "check the API errors") — pick the matching lens subset. NOT for unit testing (your test suite does that) and NOT a replacement for the integrator's own acceptance walk.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
34 GitHub stars
Stars/forks activity
WARN43
34 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add awrshift/agent-memory-kit --skill qa-sweep
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/awrshift/agent-memory-kit/tree/main/plugins/memory-kit/skills/qa-sweep
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add awrshift/agent-memory-kit --skill qa-sweep
Repository
88
https://github.com/awrshift/agent-memory-kit/tree/main/plugins/memory-kit/skills/qa-sweep
License
86
MIT
Maintenance
100
Pushed today
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
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
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
43
34 stars, 7 forks; issue activity unavailable in current metadata
Adoption
42
34 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.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.