by originaleric · Codex Skill · ★ 232
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx dig-ui-skill install codex
npx dig-ui-skill install cursor
Taken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 232 |
| Forks | 23 |
| Language | HTML |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Last Updated | 2026-09-07 |
| Created | 2026-05-30 |
| Platforms | claude-code, codex |
| Est. Tokens | ~19k |
Dig UI Skill Agent-readable design systems for product UI. One command to give Codex, Cursor, and Claude Code a durable UI design language. 中文 · Installation · Usage Guide · Catalog Previews · Personal Customization · What You Can Build Dig UI Skill is a prompt-as-code design system for AI coding agents. It does not ship a conventional component library.
Looking for a dig-ui-skill alternative? If you're comparing dig-ui-skill with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Free, open-source desktop manager for AI Agent Skills. Write a skill once, sync it to 32 AI coding tools (Clau
AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agen
Generate and evaluate agent skills for code agents like Claude Code, Open Code, OpenAI Codex
开源了Codex Skills等集合,大部分是自己实际需要搞得,需要的自取。欢迎star
Skills for agentic development on Solana
A Codex/Claude skill that maintains per-repo operating theory documents.
Explore other popular codex skill tools:
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: