material-design-3-ui-skill: A reusable Agent Skill for designing, reviewing, and implementing UI/UX with Google Material Design 3

by skydashnet · Agent Tool · ★ 130

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

How to install material-design-3-ui-skill

git clone https://github.com/skydashnet/material-design-3-ui-skill.git

Taken from the project's README on GitHub.

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.

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.

accessibilityadaptive-designagent-skillsai-agentandroid-designdesign-systemdesign-tokensfigmajetpack-composem3-expressive

Quick Facts

Stars130
Forks11
LanguagePowerShell
CategoryAgent Tool
LicenseMIT
Quality Score70/100
Last Updated2026-09-30
Created2026-08-17
Est. Tokens~13k

About material-design-3-ui-skill

Material Design 3 UI/UX Skill Design the system. Not just the screenshot. A reusable Agent Skill that helps AI design and coding agents create, review, and implement interfaces using Material Design 3, Material You, and optional Material 3 Expressive principles.

Compatible Skills

These tools work well together with material-design-3-ui-skill for enhanced workflows:

  • claude-design-auditor-skill — semantic(0.60)+complementary+rare_topics+similar_pop (61%)
  • design-skill-os — semantic(0.60)+complementary+rare_topics+similar_pop (61%)
  • layr — semantic(0.46)+complementary+rare_topics+similar_pop (60%)

material-design-3-ui-skill alternative? Top 6 similar tools

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  • extract-design-system by arvindrk · ⭐ 253

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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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