Skill audit report
Grade a completed factory run (a worktree + its chat) against your standards, cold and adversarially, so the system learns. Squashes the session transcript into a compact digest (prompts + corrections, the ordered tool timeline, the diff), then a fresh evaluator judges how the run went - did it follow the loop, honor your conventions, write real tests, ask at the right moments, handle corrections - and routes every finding to a durable fix (/add-rule for code, a persistent memory for process). This is the OFFLINE complement to the correction hook - the hook catches what you notice live, this catches what you didn't. Use for "evaluate this factory run", "grade this chat", "how did that go, what should it learn".
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, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
29d 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 uiverify/uiverify --skill evaluate-run
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/uiverify/uiverify/tree/main/packages/skills/skills/evaluate-run
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add uiverify/uiverify --skill evaluate-run
Repository
88
https://github.com/uiverify/uiverify/tree/main/packages/skills/skills/evaluate-run
License
86
MIT
Maintenance
100
29d 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.
Compare nearby options
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
169K Stars · Audit report
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
41K Stars · Audit report
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
176K Stars · Audit report
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
86
filesystem or document access
Stars/forks activity
32
22 stars, 1 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.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.