Skill audit report
Homebrew Pandafilter audit report.
The context intelligence layer for AI coding agents. Compressing noise, routing content to the right strategy, preserving session state across compactions, and surfacing the files that actually matter.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
100 GitHub stars
Stars/forks activity
WARN57
100 stars, 10 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add AssafWoo/homebrew-pandafilter
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/AssafWoo/homebrew-pandafilter
Review status
PASS88
AI review data available
Real agent outcomes
INFO58
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add AssafWoo/homebrew-pandafilter
Repository
88
https://github.com/AssafWoo/homebrew-pandafilter
License
86
MIT
Maintenance
100
11d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
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
57
100 stars, 10 forks; issue activity unavailable in current metadata
Adoption
68
100 GitHub stars
Warnings
- Quality score needs review
- Stars/forks activity: 100 stars, 10 forks; issue activity unavailable in current 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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