design-farmer: Agent skill that turns design system quality from best effort into a repeatable engineering workflow

by hakilee · Agent Tool · ★ 61

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

How to install design-farmer

/plugin marketplace add ohprettyhak/design-farmer
/plugin install design-farmer@design-farmer

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

Security audit verdict: SAFE · quality 62/100

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.

Quick Facts

Stars61
Forks13
LanguageShell
CategoryAgent Tool
Quality Score62/100
Last Updated2026-09-08
Created2026-04-01
Platformscli
Est. Tokens~12k

About design-farmer

design-farmer English 繁體中文 From seed to system — cultivate a production-ready design system from any codebase. is a skill for coding agents that analyzes your repository, extracts existing design patterns, and grows them into a structured, accessible, OKLCH-native design system with tokens, components, tests, and documentation.

Compatible Skills

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

  • nanostack — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • ai-auto-work — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • app-it — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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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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