by Jason904 · Codex Skill · ★ 142
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Jason904/ui-skill-lab.git
Taken from the project's README on GitHub.
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.
| Stars | 142 |
| Forks | 9 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62/100 |
| Last Updated | 2026-06-29 |
| Created | 2026-06-08 |
| Platforms | codex, python |
| Est. Tokens | ~16k |
UI Skill Lab 先让团队看见 UI 目标,再让 Codex / Claude Code 按目标实现、验收和修复。 English · 简体中文 UI Skill Lab 提出并开源一套 "视觉稿 + 规格合同"驱动的 AI 前端实现工作流。 它的核心想法很简单: 先把 PRD 变成一张团队能讨论的 UI 视觉稿,让大家先看到页面大概长什么样;再把定稿视觉稿转成 visual spec、tokens、layout、component tree 和 design rules,让 Codex / Claude Code 按这份规格合同实现、验收和修复。 传统 AI 写前端,通常是把 PRD 直接交给 Agent,让它生成代码。 问题是:PRD 是文字,团队很难提前判断页面最终长什么样,也很难建立一致的视觉体感。Agent...
These tools work well together with ui-skill-lab for enhanced workflows:
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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
🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same thin
Claude Code / Codex skill: reverse engineer a product & technical spec from a git branch
A Codex/Claude skill that maintains per-repo operating theory documents.
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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: