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 agentmods add instructions/lucky-aeon/agentx/claude-mdgit clone --depth 1 https://github.com/lucky-aeon/AgentXWrote 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/lucky-aeon/agentx/claude-md)<a href="https://agentmods.dev/instructions/lucky-aeon/agentx/claude-md"><img src="https://agentmods.dev/badge/instructions/lucky-aeon/agentx/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 | $0.08543 | $0.08543 |
| Opus 5 | $0.04272 | $0.04272 |
| Sonnet 5 | $0.01709 | $0.01709 |
| Haiku 4.5 | $0.00854 | $0.00854 |
Grade A, and why
AgentX 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 5d 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 — 1,132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
必须使用中文回复我 This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. 日志使用中文
Project Architecture
AgentX is an intelligent agent platform built with Domain-Driven Design (DDD) architecture, featuring:
Backend (Java/Spring Boot):
- Domain Layer: Core business logic with entities, repositories, and domain services
- Application Layer: Business process orchestration and use cases
- Infrastructure Layer: Technical implementations (persistence, configs, utilities)
- Interface Layer: API controllers and external interfaces
Frontend (Next.js/TypeScript):
- Pages: Route-based page components using Next.js App Router
- Components: Reusable UI components with Tailwind CSS and Shadcn/ui
- Lib: API services, HTTP client, and utility functions
- Types: TypeScript type definitions
- Contexts: React Context for state management
Key Technologies:
- Backend: Spring Boot 3.2.3, MyBatis-Plus, PostgreSQL, JWT
- Frontend: Next.js 15, React 19, TypeScript, Tailwind CSS
- Infrastructure: Docker, Maven, Gradle
Development Commands
Backend (Java/Spring Boot)
# Navigate to backend directory
cd AgentX
# 使用 mvn的方式运行 maven 命令
./mvn spring-boot:run
# Build backend
./mvn clean compile
# Run tests
./mvn test
# Code formatting (uses Spotless plugin)
./mvn spotless:apply
Frontend (Next.js)
# Navigate to frontend directory
cd agentx-frontend-plus
# Install dependencies
npm install --legacy-peer-deps
# Run development server
npm run dev
# Build for production
npm run build
# Start production server
npm start
Docker Development (Recommended)
# Start all services in development mode (with hot reload)
./bin/start-dev.sh # Linux/macOS
bin\start-dev.bat # Windows
# Start production mode
./bin/start.sh # Linux/macOS
bin\start.bat # Windows
# Stop services
./bin/stop.sh # Linux/macOS
bin\stop.bat # Windows
# View service status
docker compose -f docker-compose.dev.yml ps
# View logs
docker compose -f docker-compose.dev.yml logs -f [service-name]
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.
- 5d ago First seen · 1,132 lines · 8,543 tokens per session scan A cf550aab54c3
AgentX CLAUDE.md is an instructions file published in the GitHub repository lucky-aeon/AgentX (833 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 8,543 tokens to every session, about $0.0427 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.
Other instructions, from other repositories
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).
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.
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 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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.