design-md-chrome: Chrome extension to extract styles from any website and generate DESIGN.md files and design skills for AI

by bergside · Codex Skill · ★ 2.9k

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

Featured in: AI Design Tools

Security audit verdict: SAFE · quality 67/100

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.

aichromechrome-extensionclaudeclaude-designcodexdesign-mddesign-skillsextensiongemini

Quick Facts

Stars2,867
Forks312
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues1
Last Updated2026-05-25
Created2026-04-14
Platformsbrowser, claude-code, codex, gemini, node
Est. Tokens~4k

About design-md-chrome

TypeUI DESIGN.md Extractor (Chrome Extension) This Chrome extension extract styles and information from any given site and generates a or file that you can use with tools such as Google Stitch, Claude Code, Codex, and others to build websites with a given design system blueprint. The file is based on the open-source TypeUI DESIGN.md format.

Compatible Skills

These tools work well together with design-md-chrome for enhanced workflows:

  • design-extract — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • Maple — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • hanzi-browse — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • awesome-claude-design — semantic(0.51)+complementary+rare_topics+similar_pop+shared_platform (62%)

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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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