Skill audit report
Volatility-aware AI-visibility measurement. Designs fixed prompt panels, computes share-of-citation per engine, tracks citation position and turn-1 concentration, and reports trends without overreacting to structural platform swings. Use when measuring whether GEO work is actually increasing AI citations, or when monthly citation counts look alarming.
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, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
4d 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 TheSmokeDev/geo-skills --skill geo-measurement
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/TheSmokeDev/geo-skills/tree/main/skills/geo-measurement
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add TheSmokeDev/geo-skills --skill geo-measurement
Repository
88
https://github.com/TheSmokeDev/geo-skills/tree/main/skills/geo-measurement
License
86
MIT
Maintenance
100
4d since push
AI review
55
The skill references other skills in the pack (geo-fanout, geo-ai-index-access) that are not included in this submission, which may limit immediate usability if those are not present.
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
32
22 stars, 6 forks; issue activity unavailable in current metadata
Adoption
42
22 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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