Borrowing it
Nothing to install: this file belongs to GalaxyXieyu/Design-Learn. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GalaxyXieyu/Design-Learn/main/CLAUDE.mdgit clone --depth 1 https://github.com/GalaxyXieyu/Design-LearnWrote 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/instructions/galaxyxieyu/design-learn/claude-md)<a href="https://agentmods.dev/instructions/galaxyxieyu/design-learn/claude-md"><img src="https://agentmods.dev/badge/instructions/galaxyxieyu/design-learn/claude-md.svg" alt="Measured on agentmods" 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 | $0.01900 | $0.01900 |
| Opus 5 | $0.00950 | $0.00950 |
| Sonnet 5 | $0.00380 | $0.00380 |
| Haiku 4.5 | $0.00190 | $0.00190 |
Grade A, and why
Design-Learn CLAUDE.md scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:3100/api/health # 健康检查 How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Claude Code guidance for Design-Learn repository
TODO
- 集成 ui-uxpro - 将 ui-uxpro 项目整合到 Design-Learn 系统中
- 评估 ui-uxpro 的核心功能和 API
- 设计集成架构(作为独立模块 or 合并到现有组件)
- 实现数据格式兼容
- 更新 MCP tools 支持 ui-uxpro 功能
Quick Start
# Server
cd server && npm install
node src/server.js # HTTP server (port 3100)
node src/stdio.js # MCP stdio mode
# VSCode Extension
cd vscode-extension && npm install
npm run compile # Build
# Press F5 in VSCode for dev mode
# Chrome Extension
# Load unpacked from chrome://extensions/
Project Overview
Design-Learn 是一个 Web 设计提取和分析系统,包含三个主要组件:
| 组件 | 描述 | 技术栈 |
|---|---|---|
| Chrome Extension | 浏览器插件,提取页面快照 | Manifest V3, 零依赖 |
| VSCode Extension | 管理 UI 和服务器启动器 | TypeScript, Webview |
| Design-Learn Server | 后端服务,REST API + MCP | Node.js, SQLite |
Architecture
System Diagram
Chrome Extension ──┐
├──> HTTP API (port 3100)
VSCode Extension ──┤ - /api/health
│ - /api/import/*
Claude Code ───────┘ - /mcp (SSE)
- /api/designs
- /api/tasks
Design-Learn Server
(SQLite + File Storage)
Data Flow
- Browser Extraction: Chrome extension →
/api/import/browser - Server Processing: Pipeline → SQLite + file system
- MCP Access: Claude Code → MCP tools
- VSCode Management: Server lifecycle + UI
Storage
| 类型 | 路径 | 用途 |
|---|---|---|
| SQLite | data/database.sqlite |
元数据、索引 |
| File System | data/designs/ |
JSON、快照、组件代码 |
Development
Server
cd server
npm install
npm rebuild better-sqlite3 # 如需重建原生模块
# 启动方式
node src/server.js # HTTP server
PORT=3200 node src/server.js # 自定义端口
node src/cli.js # CLI 模式
node src/stdio.js # MCP stdio 模式
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.
- 8d ago First seen · 282 lines · 1,900 tokens per session scan A 630a65b98204
Design-Learn CLAUDE.md is an instructions file published in the GitHub repository GalaxyXieyu/Design-Learn (172 stars, last pushed 4mo ago), licensed MIT. It adds 1,900 tokens to every session, about $0.0095 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.