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 MigoXLab/coderio --skill design-to-codegit clone --depth 1 https://github.com/MigoXLab/coderioWrote 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/migoxlab/coderio/design-to-code)<a href="https://agentmods.dev/skills/migoxlab/coderio/design-to-code"><img src="https://agentmods.dev/badge/skills/migoxlab/coderio/design-to-code/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/migoxlab/coderio/design-to-code"><img src="https://agentmods.dev/badge/skills/migoxlab/coderio/design-to-code.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 | $0.00052 | $0.01312 |
| Opus 5.5 | $0.00021 | $0.00525 |
| Sonnet 5.5 | $0.00010 | $0.00262 |
| Haiku 4.5 | $0.00005 | $0.00131 |
Grade A, and why
design-to-code 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- design-to-code — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design to Code
High-fidelity UI restoration from Figma designs to production-ready React + TypeScript components. This SKILL uses a robust helper script to minimize manual errors and ensure pixel-perfect results.
Prerequisites
- Figma API Token: Get from Figma → Settings → Personal Access Tokens
- Node.js: Version 18+
- coderio: Installed in
scripts/folder (handled by Setup phase)
Workflow Overview
Phase 0: SETUP → Create helper script and script environment
Phase 1: PROTOCOL → Generate design protocol (Structure & Props)
Phase 2: CODE → Generate components and assets
Phase 0: Setup
Step 0.1: Initialize Helper Script
User Action: Run these commands to create the execution helper and isolate its dependencies.
mkdir -p scripts
# 1. Copy script files
# Note: Ensure you have the 'skills/design-to-code/scripts' directory available
cp skills/design-to-code/scripts/package.json scripts/package.json
cp skills/design-to-code/scripts/coderio-skill.mjs scripts/coderio-skill.mjs
# 2. Install coderio in scripts directory (adjust version if needed)
cd scripts && pnpm install && cd ..
Step 0.2: Scaffold Project (Optional)
If starting a new project:
- Run:
node scripts/coderio-skill.mjs scaffold-prompt "MyApp" - AI Task: Follow the instructions output by the command to create files.
Phase 1: Protocol Generation
Step 1.1: Fetch Data
# Replace with your URL and Token
node scripts/coderio-skill.mjs fetch-figma "https://figma.com/file/..." "figd_..."
Verify: process/thumbnail.png should exist.
Step 1.2: Generate Structure
-
Generate Prompt:
node scripts/coderio-skill.mjs structure-prompt > scripts/structure-prompt.md -
AI Task (Structure):
- ATTACH:
process/thumbnail.png(MANDATORY) - READ:
scripts/structure-prompt.md - INSTRUCTION: "Generate the component structure JSON based on the prompt and the attached thumbnail. Focus on visual grouping. Use text content to name components accurately (e.g. 'SafeProducts', not 'FAQ')."
- SAVE: Paste the JSON result into
scripts/structure-output.json.
- ATTACH:
What ships with it
3 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.
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.
- 1mo ago First seen · 159 lines · 52 tokens per session scan A 6c788e228329
design-to-code is a skill published in the GitHub repository MigoXLab/coderio (114 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,312 once invoked, about $0.0002 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 2026-08-30.
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