Skill audit report
Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot display.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
120K GitHub stars
Stars/forks activity
PASS100
120K stars, 6.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add DietrichGebert/ponytail --skill ponytail-gain
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/DietrichGebert/ponytail/tree/main/.openclaw/skills/ponytail-gain
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add DietrichGebert/ponytail --skill ponytail-gain
Repository
88
https://github.com/DietrichGebert/ponytail/tree/main/.openclaw/skills/ponytail-gain
License
86
MIT
Maintenance
88
1mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
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
100
120K stars, 6.5K forks; issue activity unavailable in current metadata
Adoption
88
120K GitHub stars
Warnings
No major warnings from available metadata.
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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