No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by kwakseongjae · Codex Skill · ★ 494
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is oh-my-design safe to install? View the security audit →
oh-my-design One-command bootstrap for skill-driven design with your AI coding agent. 246 real company design systems. Zero AI calls in the install. Then you just talk to your agent. English 繁體中文 What is oh-my-design? oh-my-design (OmD) is a design system for AI coding agents. It turns Claude C
| Stars | 494 |
| Forks | 44 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.5742177362253/100 |
| Open Issues | 21 |
| Last Updated | 2026-09-07 |
| Created | 2026-04-13 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~14k |
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oh-my-design is Give your AI coding agent a design system. One command installs 400+ quality-graded company DESIGN.md references + skills into Claude Code, Codex, Cursor, and OpenCode. Free, MIT, zero AI calls.. It is categorized as a Codex Skill with 494 GitHub stars.
oh-my-design is primarily written in JavaScript. It covers topics such as cli, design-md, design-system.
You can find installation instructions and usage details in the oh-my-design GitHub repository at github.com/kwakseongjae/oh-my-design. The project has 494 stars and 44 forks, indicating an active community.
oh-my-design is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to oh-my-design on Agent Skills Hub include styleseed, fulling, typeui. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: