What is wanwu-workflow CLAUDE.md?

Repository instructions for Coze Studio, an AI-agent development platform with a React and TypeScript frontend and a Go backend. The project is a monorepo, meaning one repository contains many related packages, and uses Rush to manage them.

Setting up Coze Studio, starting its services, developing the frontend or backend, and building the application.

They give coding agents the project structure, setup steps, development commands, and build commands needed to work consistently across the frontend and backend.

How UnicomAI/wanwu-workflow configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to UnicomAI/wanwu-workflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/UnicomAI/wanwu-workflow/dev/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/UnicomAI/wanwu-workflow

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/unicomai/wanwu-workflow/claude-md/github.svg)](https://agentmods.dev/instructions/unicomai/wanwu-workflow/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/unicomai/wanwu-workflow/claude-md"><img src="https://agentmods.dev/badge/instructions/unicomai/wanwu-workflow/claude-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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/unicomai/wanwu-workflow/claude-md"><img src="https://agentmods.dev/badge/instructions/unicomai/wanwu-workflow/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,417 This file is loaded in full into every session.

When invoked 1,417 The same file — it is already loaded in full.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01417	$0.01417
Opus 5.5	$0.00567	$0.00567
Sonnet 5.5	$0.00283	$0.00283
Haiku 4.5	$0.00142	$0.00142

Measured 2mo ago against content hash 8afec935d499, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wanwu-workflow CLAUDE.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 2mo 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.

CLAUDE.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Coze Studio is an all-in-one AI agent development platform with both frontend (React + TypeScript) and backend (Go) components. The project uses a sophisticated monorepo architecture managed by Rush.js with 135+ frontend packages organized in a hierarchical dependency system.

Development Commands

Environment Setup

# Clone and setup
git clone https://github.com/coze-dev/coze-studio.git
cd coze-studio

# Install frontend dependencies
rush update

# For Docker-based development
cd docker
cp .env.example .env
# Configure model settings in backend/conf/model/
docker compose up -d
# Access at http://localhost:8888

Development Workflow

# Start middleware services (MySQL, Redis, Elasticsearch, etc.)
make middleware

# Start Go backend in development mode
make server

# Start frontend development server
cd frontend/apps/coze-studio
npm run dev

# Full development environment
make debug

Build Commands

# Build frontend only
make fe

# Build Go server
make build_server

# Build everything with Docker
make web

# Rush monorepo commands
rush build                    # Build all packages
rush rebuild -o @coze-studio/app  # Build specific package
rush test                     # Run all tests
rush lint                     # Lint all packages

Testing

# Run tests (Vitest-based)
rush test
npm run test                  # In specific package
npm run test:cov             # With coverage

# Backend tests
cd backend && go test ./...

Architecture Overview

Frontend Architecture

Monorepo: Rush.js with 135+ packages across 4 dependency levels
Build System: Rsbuild (Rspack-based) for fast builds
UI Framework: React 18 + TypeScript + Semi Design + Tailwind CSS
State Management: Zustand for global state
Package Organization:
- arch/: Core infrastructure (level-1)
- common/: Shared components and utilities (level-2)
- agent-ide/, workflow/, studio/: Feature domains (level-3)
- apps/coze-studio: Main application (level-4)

Read the full file on GitHub · 196 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.

2mo ago First seen · 196 lines · 1,417 tokens per session scan A 8afec935d499

Subscribe to this mod's changes

wanwu-workflow CLAUDE.md is an instructions file published in the GitHub repository UnicomAI/wanwu-workflow (47 stars, last pushed 3d ago), licensed Apache-2.0. It adds 1,417 tokens to every session, about $0.0057 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.

LLM agent ai generative-ai go low-code

wanwu-workflow CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
wanwu-workflow CLAUDE.mdUnicomAI/wanwu-workflow	Instructions file	47	3d ago	Apache-2.0	A	1,417	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

wanwu-workflow: Instructions file for Claude Code