sd-learned-recipes

sd-learned-recipes is a Graphics, 3D & shaders skill for AI agents, published by IvanYangYangXi in the artclaw_bridge repository on GitHub. Skillspace rates sd-learned-recipes D (66/100) and it passed the safety scan; the rating is based on static analysis only.

从 SD 内置 30 个 PBR 材质逆向分析的材质配方库。包含 7 个类别配方 + 3 个通用功能配方， 涵盖混凝土/金属/瓷砖/砖墙/布料/木材/有机物的节点图结构、管线设计和制作逻辑。 Use when AI needs to: (1) choose appropriate nodes for a material type, (2) reference professional material graph structure, (3) understand common SD material building patterns, (4) select texture sources for different material categories, (5) plan a material pipeline before building. Substance Designer only (run_python).

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
30

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

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

View source on GitHubIvanYangYangXi/artclaw_bridge

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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