Skill audit report
Adversarial cross-model verification of work produced by an AI agent — code, documents, data, config, anything. A different model attacks the work against its brief, Claude arbitrates. Triggers on /verify-agent — or natural language like "verifica il lavoro che ha fatto l'agente", "è corretto quello che ha fatto Claude/Codex?", "fai revisionare questo lavoro da un altro modello", "controlla che il task sia stato fatto bene".
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
21 GitHub stars
Stars/forks activity
FAIL32
21 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
30d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add DarioFontanel/verify-agent --skill verify-agent
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/DarioFontanel/verify-agent/tree/main/skills/verify-agent
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add DarioFontanel/verify-agent --skill verify-agent
Repository
88
https://github.com/DarioFontanel/verify-agent/tree/main/skills/verify-agent
License
86
MIT
Maintenance
100
30d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
32
21 stars, 2 forks; issue activity unavailable in current metadata
Adoption
42
21 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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