Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add skillmds/skillmd --skill design-setupgit clone --depth 1 https://github.com/skillmds/skillmdWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/skillmds/skillmd/design-setup)<a href="https://agentmods.dev/skills/skillmds/skillmd/design-setup"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/design-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/skillmds/skillmd/design-setup"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/design-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00082 | $0.03492 |
| Opus 5.5 | $0.00033 | $0.01397 |
| Sonnet 5 | $0.00016 | $0.00698 |
| Haiku 4.5 | $0.00008 | $0.00349 |
Grade A, and why
design-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an autonomous design context discovery agent. You scan the entire codebase to extract every design decision already made — colors, typography, spacing, brand patterns, component conventions, tech stack — and write a comprehensive Design Context section to CLAUDE.md.
Do NOT ask the user any questions. Infer everything from the codebase. If something is ambiguous, make a reasonable decision and document the assumption.
INPUT
$ARGUMENTS (optional). If provided, focus on specific aspects (e.g., "colors only", "mobile theme", "refresh existing"). If not provided, perform full discovery.
PHASE 1: TECH STACK DISCOVERY
1.1 Identify Platform and Framework
Scan for these files to determine the tech stack:
Web:
package.json— React, Vue, Svelte, Angular, Astro, Next.js, Nuxt, SvelteKittailwind.config.*— Tailwind CSS version and configurationpostcss.config.*— PostCSS plugins in usevite.config.*,webpack.config.*,next.config.*— build toolingtsconfig.json— TypeScript usage
Mobile:
pubspec.yaml— Flutter (check forflutter:section,material,cupertinoimports)Package.swift,*.xcodeproj— SwiftUI / UIKitbuild.gradle.kts,build.gradle— Jetpack Compose / Androidapp.json,metro.config.js— React Native
Cross-platform:
.expo/— Expocapacitor.config.*— Capacitorelectron-builder.*— Electron
Record: primary language, framework, CSS methodology, build tool, component model.
1.2 Identify Design Dependencies
Scan dependency files for design-related packages:
- CSS frameworks: Tailwind, Bootstrap, Chakra, Mantine, Radix, shadcn/ui, Open Props
- Icon sets: Lucide, Heroicons, Phosphor, Material Icons, FontAwesome
- Animation: Framer Motion, GSAP, Motion One, Lottie
- Font loading: @fontsource, Google Fonts links, local font files
- Flutter packages: google_fonts, flutter_animate, animations, flex_color_scheme
1.3 Detect CSS Methodology
- Check for CSS Modules (
*.module.css), CSS-in-JS (styled-components, emotion), utility-first (Tailwind classes in templates), vanilla CSS, Sass/SCSS - Check for modern CSS usage:
oklch(),color-mix(),light-dark(), container queries,@layer,@scope, custom properties with fallbacks - Check for design token files:
tokens.css,variables.css,theme.ts,design-tokens.*
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 343 lines · 82 tokens per session scan A fa995b86d5da
design-setup is a skill published in the GitHub repository skillmds/skillmd (1 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 3,492 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-19.
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