by yuvrajangadsingh · Codex Skill · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx brandmd https://stripe.com -o DESIGN.md
npx brandmd https://linear.appTaken 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 | 66 |
| Forks | 6 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69/100 |
| Last Updated | 2026-10-08 |
| Created | 2026-03-25 |
| Platforms | browser, claude-code, cli, codex, gemini, node |
| Est. Tokens | ~15k |
brandmd Stop Claude Code, Cursor, Gemini CLI, and Google Stitch from guessing your UI. brandmd extracts any website's design system into an LLM-readable . AI coding agents generate generic screens when they don't know your colors, fonts, spacing, components, and layout rules. Run one command, drop in your project root, and your agent has brand context before it writes code.
These tools work well together with brandmd for enhanced workflows:
Looking for a brandmd alternative? If you're comparing brandmd 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.
Production-grade design context for AI coding workflows. Extract a real design system from any URL — colors, t
Ultra-fast token & cost tracker for LLM Token Usage (e.g. Claude Code)
An LLM council that reviews your coding agent's every move
⚡ Stream browser logs to terminal, zero setup, perfect for Ai Agents
Extract design tokens (colors, typography, spacing, border radius, shadows) from any public website. Generates
Open source AI coding platform with Web IDE, multi-agent system, 37+ tools, MCP protocol. MIT licensed.
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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: