这是一个关于在 CLI、应用、IDE 扩展和云工作流程中使用 OpenAI Codex 的实践培训课程。

课程概述

这场5小时的实践工作坊涵盖安装、认证、安全代理工作流程、配置、MCP服务器、技能、云任务以及实践开发实验室。

你将学到什么

• 🚀 安装与设置：CLI、应用、IDE、ChatGPT 登录和 API 密钥认证
• 🛡️ 安全与保障：沙盒模式、审批政策、可信项目及评测
• 🎯 核心功能：AGENTS.md 指导、自定义提示、配置文件和会话恢复
• ⚡ 代理技能：可重用的工作流捆绑包，包含脚本、引用和资源
• 🔧 高级功能：MCP集成、Codex Cloud、本地OSS模型和CI/CD工作流程
• 💻 实用技能：Java、Python和TypeScript的实际练习

先修条件

• 命令行体验
• 至少掌握一种语言的基础编程知识
• Git 熟悉度
• Docker（用于高级练习）

仓库结构

快速启动

1.安装法典

2.认证

3.执行你的第一个指令

4.开始培训

在线幻灯片

OpenAI Codex Training

A hands-on training course for using OpenAI Codex across the CLI, app, IDE extensions, and cloud workflows.

Course Overview

This 5-hour hands-on workshop covers installation, authentication, safe agent workflows, configuration, MCP servers, skills, cloud tasks, and practical development labs.

What You’ll Learn

• 🚀 Installation & Setup: CLI, app, IDE, ChatGPT login, and API-key authentication
• 🛡️ Safety & Security: Sandbox modes, approval policies, trusted projects, and reviews
• 🎯 Core Features: AGENTS.md guidance, custom prompts, profiles, and session resumption
• ⚡ Agent Skills: Reusable workflow bundles with scripts, references, and assets
• 🔧 Advanced Capabilities: MCP integration, Codex Cloud, local OSS models, and CI/CD workflows
• 💻 Practical Skills: Real-world exercises in Java, Python, and TypeScript

Prerequisites

• Command-line experience
• Basic programming knowledge in at least one language
• Git familiarity
• Docker (for advanced exercises)

Repository Structure

codex-training/
├── slides.md                     # Slidev presentation (160+ slides)
├── exercises/                    # Hands-on labs with starter code
│   ├── plan-mode-warmup/        # Lab 0: Plan mode and steering warm-up
│   ├── java-spring-boot/        # Lab 1: Spring Boot REST API
│   ├── python-refactoring/      # Lab 2: Legacy code refactoring
│   ├── react-forms/             # Lab 3: React TypeScript forms
│   ├── microservices/           # Lab 4: Multi-language microservices
│   ├── skills-creation/         # Lab 5: Create custom Codex skills
│   └── mcp-context7/            # Lab 6: Connect current docs through MCP
├── config-examples/              # Sample configurations
│   ├── basic-config.toml        # Minimal setup for beginners
│   └── advanced-config.toml     # Full features with MCP, profiles
├── prompts/                      # Custom prompt templates
│   └── *.md                     # security-audit, test-gen, etc.
├── docs/                         # Reference documentation
│   ├── TROUBLESHOOTING.md       # Common issues and solutions
│   └── MODEL-SELECTION.md       # Cost/performance guide
├── .github/workflows/            # CI/CD examples
│   └── codex-review.yml         # Automated PR review with Codex
└── exports/                      # Slide exports (PDF)

Quick Start

1. Install Codex

# Official install script (macOS/Linux)
curl -fsSL https://chatgpt.com/codex/install.sh | sh

# Via npm
npm install -g @openai/codex

# Via Homebrew (macOS/Linux)
brew install --cask codex

# Verify installation
codex --version

2. Authenticate

# ChatGPT account (recommended)
codex login

# Or store an API key with Codex
printenv OPENAI_API_KEY | codex login --with-api-key

3. Run Your First Command

codex "Create a hello world function in Python"

4. Start the Training

# Clone this repository