OJO-Design-Skills: Reusable UI/UX design skills for AI coding agents — Codex, Claude Code, ZCode, and more

by touchine-ojo · Codex Skill · ★ 162

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

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.

agent-skillsai-agentclaude-codecodexdesign-methodologydesign-systemdesign-tokensprompt-engineeringui-ux

Quick Facts

Stars162
Forks7
LanguageShell
CategoryCodex Skill
LicenseMIT
Quality Score70/100
Open Issues1
Last Updated2026-07-29
Created2026-07-07
Platformsclaude-code, cli, codex
Est. Tokens~12k

About OJO-Design-Skills

OJO Design Skills Reusable UI/UX design skills for AI coding agents — Codex, Claude Code, ZCode, and more. English · 简体中文 · 日本語 · 한국어 · Español OJO Design Skills is a drop-in skill bundle that teaches your AI coding agent how to make real design decisions — not generic "AI-looking" layouts.

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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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