skill.color-expert: Agent skill for color science expertise

by meodai · Codex Skill · ★ 618

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

How to install skill.color-expert

npx skills add meodai/skill.color-expert
git clone https://github.com/meodai/skill.color-expert ~/Sites/color-expert

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

Security audit verdict: SAFE · quality 70/100

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.

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Quick Facts

Stars618
Forks38
LanguageShell
CategoryCodex Skill
LicenseCC-BY-4.0
Quality Score70/100
Last Updated2026-10-21
Created2026-03-22
Platformsclaude-code, cli, codex
Est. Tokens~13k

About skill.color-expert

color-expert An agent skill that turns your coding agent into a color science expert. Built from resources I keep looking up, returning to, and sharing with others. What this is This started as a simple skill file with some color theory notes.

Compatible Skills

These tools work well together with skill.color-expert for enhanced workflows:

  • roadmap-skill — semantic(0.19)+complementary+similar_pop+shared_platform (47%)
  • codex-mcp-server — semantic(0.19)+complementary+similar_pop+shared_platform (47%)
  • verify — semantic(0.17)+complementary+similar_pop+shared_platform (46%)
  • code-container — semantic(0.16)+complementary+similar_pop+shared_platform (46%)
  • agentsys — semantic(0.16)+complementary+similar_pop+shared_platform (46%)

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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 Codex Skill tools