superui-design-md

superui-design-md is a skill for Claude Code, Codex from HappyDoggyAI/superui. It costs 74 tokens per session (867 once invoked), scanned A, original, MIT.

A tool that turns design intent and source evidence into a DESIGN.md specification and preview pages. DESIGN.md records reusable style values such as colors, type, spacing, and component rules.

In plain words
What is it for?
Use it to document or update a design system, create light and dark previews, define interaction rules, and prepare frontend work for implementation.
Why use it?
It gives frontend implementation a clear, shared description of how the interface should look and behave.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: $skill-name invocation.

Part of the superui plugin — 6 skills shipped together

Good fit Use it to document or update a design system, create light and dark previews, define interaction rules, and prepare frontend work for implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/happydoggyai/superui/superui-design-md
Install

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.

Any agent
npx skills add HappyDoggyAI/superui --skill superui-design-md
Clone the repo
git clone --depth 1 https://github.com/HappyDoggyAI/superui

Made for: Claude Code, Codex.

Or install superui, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

agentmods badge for superui-design-md

README.md
[![agentmods](https://agentmods.dev/badge/skills/happydoggyai/superui/superui-design-md/github.svg)](https://agentmods.dev/skills/happydoggyai/superui/superui-design-md)
Your own site
<a href="https://agentmods.dev/skills/happydoggyai/superui/superui-design-md"><img src="https://agentmods.dev/badge/skills/happydoggyai/superui/superui-design-md/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.

agentmods 80×15 button for superui-design-md

Your own site · 80×15
<a href="https://agentmods.dev/skills/happydoggyai/superui/superui-design-md"><img src="https://agentmods.dev/badge/skills/happydoggyai/superui/superui-design-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 867 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.00867
Opus 5 $0.00037 $0.00434
Sonnet 5 $0.00015 $0.00173
Haiku 4.5 $0.00007 $0.00087

Measured 10d ago against content hash 897efdcc5003, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

superui-design-md 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 10d 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.

skills/superui-design-md/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DESIGN.md Generator

Convert design intent, source evidence, and user preferences into an AI-executable DESIGN.md plus preview files.

Core Rules

  • Follow the Google Stitch-style DESIGN.md structure: machine-readable YAML token frontmatter plus human-readable Markdown rationale.
  • Read skills/superui-shared/DESIGN_INTELLIGENCE.md before creating tokens.
  • Add an Interaction Loop section covering CRUD loops, feedback, operation dependencies, and error handling.
  • Write artifacts to <ARTIFACT_ROOT>/: DESIGN.md, preview.html, and preview-dark.html.
  • Treat long-term preferences as soft constraints; current explicit user instructions take priority.
  • Try npx @google/design.md lint DESIGN.md; if unavailable, continue and record the skipped lint.
  • Read skills/superui-shared/TASK_MANAGEMENT.md; update todo.md, append design decisions and lint evidence to progress.md, and update pipeline-status.md.

Workflow

  1. Load input source:
    • If analysis exists, read analysis/layout.md, analysis/interaction.md, and analysis/style.md.
    • If the user gave a direct description, extract style, layout, color, and interaction requirements.
  2. Run design intelligence:
    • Determine product type, audience, primary job, density, trust level, platform, brand posture, and anti-patterns.
    • When under-specified, check for local ui-ux-pro-max-skill and use it as optional advisory input only.
  3. Select examples only when needed:
    • Use rg --files examples/design-md or example READMEs to find candidates.
    • Read at most 1-2 relevant examples and only relevant sections.
    • Extract structure and expression patterns; never copy brand values or assets.
  4. Generate DESIGN.md using templates/DESIGN.md.template.md.
  5. Generate preview.html and preview-dark.html.
  6. Run or skip lint and record evidence.

DESIGN.md Requirements

YAML token frontmatter must include:

  • colors: primary, functional colors, and at least 8 neutral steps
  • typography: display, title, body, and caption levels with fallback fonts
  • spacing: 4px-based scale from small to large
  • borderRadius: none, sm, md, lg, xl, full
  • shadows: sm, md, lg, xl
  • breakpoints: at least sm, md, lg, xl, 2xl

Read the full file on GitHub · 85 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 10d ago First seen · 85 lines · 74 tokens per session scan A 897efdcc5003

Subscribe to this mod's changes

superui-design-md is a skill published in the GitHub repository HappyDoggyAI/superui (2 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 867 once invoked, about $0.0004 per session on Opus 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 2026-08-31.

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