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pluginintermediateChatGPT/Codex

OpenAI Codex CLI: The Lightweight Terminal Agent

OpenAI's Codex CLI is a free, text-based tool that integrates directly into a developer's programming terminal. It enables them to use powerful AI models like GPT-5.2 to quickly write, fix, and improve code using simple English commands, accelerating development cycles and improving productivity.

AI SETUP PROMPT

Paste into Codex CLI — it will scan your project and set everything up

# Install & Configure: OpenAI Codex CLI: The Lightweight Terminal Agent

## What This Is
OpenAI's Codex CLI is a free, text-based tool that integrates directly into a developer's programming terminal. It enables them to use powerful AI models like GPT-5.2 to quickly write, fix, and improve code using simple English commands, accelerating development cycles and improving productivity.

Source: https://openai.com/codex/

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing agent configuration (check for .claude/, .codex/, CLAUDE.md, settings.json, commands/, skills/ directories)

Then ask me before proceeding:
1. Do I need to configure any service credentials for this plugin (database, API keys, etc.)?
2. Should this be project-scoped or global?

## Source Access Note

The source URL (https://openai.com/codex/) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.

## What to Implement

This is an **Agent Plugin** — typically an MCP server or capability bundle.

- Install any required npm/pip packages from the source repository
- Register the MCP server in `.claude/settings.json` under the `mcpServers` key with the correct command and args
- Configure any required environment variables or credentials
- Verify the server starts correctly by checking its expected output

## Additional Context

- Scan the user's system to determine the appropriate package manager (e.g., Homebrew, apt, npm) and install the 'codex-cli' package from the official OpenAI repository.
- Check the user's environment variables (e.g., in `.env`, `.bash_profile`, `.zshrc`) for an `OPENAI_API_KEY`. If not found, prompt the user to provide their key and configure it for the `codex-cli` tool.
- Verify the installation by running `codex --version`. Then, demonstrate a basic capability by prompting the agent to read the `README.md` file in the current project and summarize its purpose.

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it
2,401 charactersCompatible with Claude Code & Codex CLI
MANUAL SETUP STEPS
  1. 01Scan the user's system to determine the appropriate package manager (e.g., Homebrew, apt, npm) and install the 'codex-cli' package from the official OpenAI repository.
  2. 02Check the user's environment variables (e.g., in `.env`, `.bash_profile`, `.zshrc`) for an `OPENAI_API_KEY`. If not found, prompt the user to provide their key and configure it for the `codex-cli` tool.
  3. 03Verify the installation by running `codex --version`. Then, demonstrate a basic capability by prompting the agent to read the `README.md` file in the current project and summarize its purpose.

FIELD OPERATIONS

Automated Documentation Scaffolding

Create a script that uses Codex CLI to scan a new codebase, identify all functions/classes without docstrings, and generate placeholder documentation for each one based on the function's name, parameters, and code body.

CLI-Based Test Case Generator

Build a wrapper around Codex CLI that accepts a file and function name as arguments. The wrapper prompts the agent to analyze the specified function, identify edge cases, and generate a new test file with unit tests covering those cases.

STRATEGIC APPLICATIONS

  • →An engineer integrating a new third-party REST API uses Codex CLI to describe the endpoints and desired functions. The agent generates the boilerplate client code (HTTP requests, data models, error handling) in the target language, saving hours of manual work.
  • →A junior DevOps engineer struggling with a complex 'awk' or 'jq' command for log processing describes the desired text transformation in plain English to Codex CLI. The tool provides the correct, optimized shell command with an explanation, serving as a just-in-time learning tool.

TAGS

#cli#terminal#openai#gpt-5#code-generation#refactoring#debugging#agent
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