Skill audit report
Apply input minimisation, output discipline, and a human-in-the-loop gate to every surface that sends data to an LLM. Triggers when building or editing any send-to-LLM path: an Edge Function calling a model, a draft-commentary or summary generator, an auto-resolver, a cash-allocation suggestion, a classification call, or any new AI-assist feature, especially in a RICS or UK GDPR regulated context.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
23 GitHub stars
Stars/forks activity
FAIL32
23 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
19d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
WARN56
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add randommonicle/claude-skills --skill ai-surface-discipline
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL34
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/randommonicle/claude-skills/tree/main/ai-surface-discipline
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add randommonicle/claude-skills --skill ai-surface-discipline
Repository
88
https://github.com/randommonicle/claude-skills/tree/main/ai-surface-discipline
License
86
Apache-2.0
Maintenance
100
19d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
56
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
34
secrets or environment access, filesystem or document access
Stars/forks activity
32
23 stars, 3 forks; issue activity unavailable in current metadata
Adoption
42
23 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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