Skill audit report
RenoDX workflow for generating HDR/SDR test patterns, synthetic charts, ramps, gradients, hue sweeps, color bars, checkerboards, banding panels, gamut stress images, BT.709/BT.2020/AP1 comparisons, and scalar/energy-map validation sources. Use when making test pattern images or datasets for tonemap, gamut, LUT, PsychoV, RenoDRT, HDR, or cICP validation.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
3.8K GitHub stars
Stars/forks activity
INFO77
3.8K stars, 142 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
1d 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 clshortfuse/renodx --skill hdr-test-pattern-generation
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/clshortfuse/renodx/tree/main/.agents/skills/hdr-test-pattern-generation
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add clshortfuse/renodx --skill hdr-test-pattern-generation
Repository
88
https://github.com/clshortfuse/renodx/tree/main/.agents/skills/hdr-test-pattern-generation
License
86
MIT
Maintenance
100
1d since push
AI review
55
The SKILL.md excerpt is truncated at the end, but the full file likely continues; no critical issues found.
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
77
3.8K stars, 142 forks; issue activity unavailable in current metadata
Adoption
88
3.8K 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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