stitch-react

stitch-react is a skill for Claude Code, Codex from jh941213/codex-lattice. It costs 80 tokens per session (3,271 once invoked), scanned A, original, MIT.

A workflow for turning a Stitch-generated HTML screen into reusable React components, with shared design values and TypeScript types.

In plain words
What is it for?
Use it to import a Stitch screen, extract colors and typography, split the markup into components, generate prop types, and check the resulting code.
Why use it?
It helps move a static generated screen into a React project without leaving the design scattered across one large HTML file.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/jh941213/codex-lattice/stitch-react
Any agent
npx skills add jh941213/codex-lattice --skill stitch-react
Clone the repo
git clone --depth 1 https://github.com/jh941213/codex-lattice

Made for: Claude Code, Codex.

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 stitch-react

README.md
[![agentmods](https://agentmods.dev/badge/skills/jh941213/codex-lattice/stitch-react.svg)](https://agentmods.dev/skills/jh941213/codex-lattice/stitch-react)
Your own site
<a href="https://agentmods.dev/skills/jh941213/codex-lattice/stitch-react"><img src="https://agentmods.dev/badge/skills/jh941213/codex-lattice/stitch-react.svg" alt="Measured on agentmods" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,271 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00080 $0.03271
Opus 5 $0.00040 $0.01636
Sonnet 5 $0.00016 $0.00654
Haiku 4.5 $0.00008 $0.00327

Measured 4d ago against content hash 5c06f7e3c4fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

stitch-react 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.

skills/stitch-react/SKILL.md · 460 lines

How it starts

The opening of the file, as written. The whole thing — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stitch to React Components

Stitch에서 생성된 HTML 스크린을 재사용 가능한 React 컴포넌트 시스템으로 변환합니다. 디자인 토큰 추출, 컴포넌트 분해, 자동 검증을 포함합니다.

개요

이 스킬은 Stitch의 정적 HTML 출력을 프로덕션 레디 React 컴포넌트로 변환합니다:

  1. 디자인 토큰 추출: 색상, 타이포그래피, 간격을 토큰으로 추출
  2. 컴포넌트 분해: HTML을 재사용 가능한 컴포넌트로 분리
  3. TypeScript 지원: Props 타입 정의 자동 생성
  4. 검증: 생성된 컴포넌트의 문법 및 타입 검증

사전 요구사항

  • Stitch MCP 서버 접근 권한
  • Stitch 프로젝트와 생성된 스크린
  • Node.js 환경 (React 프로젝트)
  • DESIGN.md 파일 (선택, 토큰 일관성 향상)

변환 워크플로우

Step 1: Stitch 스크린 가져오기

# Stitch MCP로 스크린 HTML 다운로드
[prefix]:get_screen 호출
→ htmlCode.downloadUrl에서 HTML 다운로드
→ source.html로 저장

Step 2: 디자인 토큰 추출

Stitch HTML에서 Tailwind 클래스와 인라인 스타일을 분석하여 디자인 토큰을 추출합니다.

색상 토큰
// tokens/colors.ts
export const colors = {
  // Primary
  primary: {
    DEFAULT: '#0066FF',
    hover: '#0052CC',
    light: '#E6F0FF',
  },
  // Neutral
  neutral: {
    50: '#F9FAFB',
    100: '#F3F4F6',
    200: '#E5E7EB',
    // ...
    900: '#111827',
  },
  // Semantic
  success: '#10B981',
  error: '#EF4444',
  warning: '#F59E0B',
} as const;
타이포그래피 토큰
// tokens/typography.ts
export const typography = {
  fontFamily: {
    sans: ['Inter', 'system-ui', 'sans-serif'],
    mono: ['JetBrains Mono', 'monospace'],
  },
  fontSize: {
    xs: ['0.75rem', { lineHeight: '1rem' }],
    sm: ['0.875rem', { lineHeight: '1.25rem' }],
    base: ['1rem', { lineHeight: '1.5rem' }],
    lg: ['1.125rem', { lineHeight: '1.75rem' }],
    xl: ['1.25rem', { lineHeight: '1.75rem' }],
    '2xl': ['1.5rem', { lineHeight: '2rem' }],
    '3xl': ['1.875rem', { lineHeight: '2.25rem' }],
  },
  fontWeight: {
    normal: '400',
    medium: '500',
    semibold: '600',
    bold: '700',
  },
} as const;
간격 토큰
// tokens/spacing.ts
export const spacing = {
  px: '1px',
  0: '0',
  0.5: '0.125rem',
  1: '0.25rem',
  2: '0.5rem',
  3: '0.75rem',
  4: '1rem',
  5: '1.25rem',
  6: '1.5rem',
  8: '2rem',
  10: '2.5rem',
  12: '3rem',
  16: '4rem',
  20: '5rem',
  24: '6rem',
} as const;

Read the full file on GitHub · 460 lines

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. 4d ago First seen · 460 lines · 80 tokens per session scan A 5c06f7e3c4fb

Subscribe to this mod's changes

stitch-react is a skill published in the GitHub repository jh941213/codex-lattice (19 stars, last pushed 3mo ago), licensed MIT. It adds 80 tokens to every session and 3,271 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 2026-08-30.

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