Skill audit report
AdaptSegNet audit report.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
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
INFO76
859 GitHub stars
Stars/forks activity
INFO71
859 stars, 209 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL22
6y since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
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 wasidennis/AdaptSegNet
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/wasidennis/AdaptSegNet
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add wasidennis/AdaptSegNet
Repository
88
https://github.com/wasidennis/AdaptSegNet
License
45
Unknown
Maintenance
20
6y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
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
72
filesystem or document access, network or browser access
Stars/forks activity
71
859 stars, 209 forks; issue activity unavailable in current metadata
Adoption
88
859 GitHub stars
Warnings
- License is unclear
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 6y since push
- License clarity: Unknown
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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