tastemaker: A Claude Code skill that grounds AI-generated UI in real reference images and a persistent per-developer taste

by codeswithroh · Claude Skill · ★ 450

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How to install tastemaker

git clone https://github.com/codeswithroh/tastemaker ~/.claude/skills/tastemaker

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

Security audit verdict: SAFE · quality 69/100

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

Stars450
Forks47
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score69/100
Open Issues12
Last Updated2026-10-11
Created2026-07-09
Platformsclaude-code, codex, python
Est. Tokens~16k

About tastemaker

A skill that gives AI real design taste, so the UI it builds does not look AI-generated. Before / after  ·  Quick start  ·  Why  ·  Why not just prompt it?  ·  What is verified  ·  Features  ·  Palette generator  ·  Co

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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:

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