bt2020-png-generation

bt2020-png-generation is a Graphics, 3D & shaders skill for AI agents, published by clshortfuse in the renodx repository on GitHub. Skillspace rates bt2020-png-generation C (74/100) and it passed the safety scan; the rating is based on static analysis only.

RenoDX workflow for generating, validating, or debugging BT.2020/BT.2100 HDR PNG artifacts from EXR, linear RGB, nits arrays, scalar maps, or analysis images. Use when creating PQ/ST 2084 16-bit PNGs, injecting or checking PNG cICP chunks, converting AP0/D60 or BT.709 data to BT.2020, producing Discord/Chrome HDR PNG test files, testing HDR/PQ ICC profiles with cicpTag, or avoiding repeated one-off HDR image experiments.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
1,510

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
99 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. RenoDX workflow referencing sibling repo skills and RenoDRT internals

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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