shader-skills: GLSL and Shadertoy shader skills for Claude Code, Codex, Cursor, Copilot and Gemini CLI

by gokayfem · Claude Skill · ★ 387

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install shader-skills

npx skills add gokayfem/shader-skills
claude plugin install shader-skills@shader-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsclaude-codecodexcomputer-graphicscursorgemini-cligenerative-artgithub-copilotglslnoise

Quick Facts

Stars387
Forks32
LanguageGLSL
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Last Updated2026-10-23
Created2026-06-20
Platformsbrowser, claude-code, cli, codex, gemini
Est. Tokens~20k

About shader-skills

Shader Skills — GLSL & Shadertoy for AI coding agents Create, debug and refine procedural GLSL shaders with Claude Code, Codex, Cursor, GitHub Copilot and Gemini CLI. Shader Skills combines an agent skill with 186 GLSL functions in 20 modules, a dependency bundler, a checker and 11 ready-to-run Shadertoy examples.

Compatible Skills

These tools work well together with shader-skills for enhanced workflows:

  • fluid — semantic(0.21)+complementary+rare_topics+similar_pop+shared_platform (61%)
  • img2threejs — semantic(0.34)+complementary+rare_topics+similar_pop+shared_platform (61%)
  • sakura-fantasy — semantic(0.24)+complementary+rare_topics+similar_pop+shared_platform (57%)
  • kiln — semantic(0.25)+complementary+rare_topics+similar_pop+shared_platform (53%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools