Borrowing it
Nothing to install: this file belongs to xiaoyuge886/aigc. 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/xiaoyuge886/aigc/main/CLAUDE.mdgit clone --depth 1 https://github.com/xiaoyuge886/aigcWrote 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/xiaoyuge886/aigc/claude-md)<a href="https://agentmods.dev/instructions/xiaoyuge886/aigc/claude-md"><img src="https://agentmods.dev/badge/instructions/xiaoyuge886/aigc/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 | $0.01309 | $0.01309 |
| Opus 5 | $0.00655 | $0.00655 |
| Sonnet 5 | $0.00262 | $0.00262 |
| Haiku 4.5 | $0.00131 | $0.00131 |
Grade A, and why
aigc 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 177 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
AIGC Intelligent Agent Platform - A full-stack AI application platform based on Claude AI, supporting custom skill ecosystems and scenario-based AI solutions. Uses FastAPI (Python) backend and React (TypeScript) frontend.
Development Commands
Backend (Python/FastAPI)
cd backend
# Create virtual environment
python -m venv .venv
source .venv/bin/activate # Linux/macOS
# Install dependencies
pip install -r requirements.txt
# Configure environment
cp .env.example .env
# Edit .env and set ANTHROPIC_API_KEY
# Run development server
python main.py
# Runs on http://localhost:8000
# API docs at http://localhost:8000/docs
# Run tests
pytest # All tests
pytest tests/test_api.py # Single test file
pytest tests/test_api.py::test_health -v # Single test function
pytest -v --tb=short # Verbose with short traceback
Frontend (React/TypeScript)
cd frontend/aigc-frontend
# Install dependencies
npm install
# Run development server
npm run dev
# Runs on http://localhost:5173 (or 8888 via start.sh)
# Build for production
npm run build
Combined Startup
# Start both backend and frontend
./scripts/start.sh
# Stop all services
./scripts/stop.sh
# Or use Docker deployment
cd deploy
./deploy.sh dev # Development
./deploy.sh prod # Production
./deploy.sh stop # Stop services
Architecture Overview
Backend Structure (backend/)
backend/
├── main.py # FastAPI app entry point
├── api/v1/ # API routes
│ ├── endpoints.py # Main agent/chat endpoints
│ ├── platform.py # Scenario/platform config API
│ ├── auth.py # Authentication endpoints
│ └── github_skills.py # GitHub skills integration
├── services/ # Business logic layer
│ ├── agent_service.py # Core Claude Agent SDK integration
│ ├── session_manager.py # Multi-session management
│ ├── scenario_matcher.py # Scenario matching engine
│ └── database.py # Database operations
├── models/ # Data models
│ ├── database.py # SQLAlchemy ORM models
│ ├── schemas.py # Pydantic validation schemas
│ └── platform.py # Platform/scenario models
├── tools/ # Custom MCP tools
│ └── custom_tools.py # Tool definitions
├── core/config.py # Settings management
└── tests/ # Test suite
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 · 177 lines · 1,309 tokens per session scan A 91458a4134eb
aigc CLAUDE.md is an instructions file published in the GitHub repository xiaoyuge886/aigc (197 stars, last pushed 1mo ago), licensed MIT. It adds 1,309 tokens to every session, about $0.0065 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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