Skill audit report
Exclusively Dark Image Dataset audit report.
Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.
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
632 GitHub stars
Stars/forks activity
INFO71
632 stars, 113 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
5mo since push
License clarity
PASS86
BSD-3-Clause
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 cs-chan/Exclusively-Dark-Image-Dataset
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/cs-chan/Exclusively-Dark-Image-Dataset
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add cs-chan/Exclusively-Dark-Image-Dataset
Repository
88
https://github.com/cs-chan/Exclusively-Dark-Image-Dataset
License
86
BSD-3-Clause
Maintenance
76
5mo 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
86
filesystem or document access
Stars/forks activity
71
632 stars, 113 forks; issue activity unavailable in current metadata
Adoption
88
632 GitHub stars
Warnings
- Quality score needs review
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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