AI Disruption

AI Disruption

A Guide to Using Codex CLI and Some Best Practices

Codex CLI best practices: config, agents, skills, hooks, and multi-agent orchestration.

Meng Li's avatar
Meng Li
Apr 07, 2026
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How to Install OpenAI's Codex CLI Locally? A Simple Guide - CometAPI - All  AI Models in One API

Codex CLI is a coding agent tool launched by OpenAI, with over 90% of its core code written in Rust.

This article compiles best practices for the full Codex workflow — from configuration to orchestration — and is written for developers who want to deeply integrate Codex CLI into their daily engineering process.

This is a no-fluff version of everyday practices, covering content from beginner to advanced, so you can truly master the most important parts of Codex, pick it up immediately, and use it well from the start.


Core Concepts

Before diving into specifics, let’s establish an overall map.

The capabilities of Codex CLI can be broken down into the following layers:

Command Layer

Built-in commands are triggered by a slash in an interactive session.

These include: /plan, /fast, /fork, /review, /status, /mcp, /agent, /model, /permissions, and others — used to control the behavior of the current session.

Agent Layer

Uses TOML files in the .codex/agents/ directory as configuration units, defining customized agents with dedicated roles, models, and instructions. Supports parallel sub-agent orchestration and CSV batch processing.

Skill Layer

Reusable instruction packages in the standard format .agents/skills/<name>/SKILL.md, invoked explicitly by name or triggered automatically via description fields.

Plugin Layer

Skills and MCP servers packaged with application integrations into distributable units, installable via a plugin marketplace or local path.

Configuration Layer

A TOML-based layered configuration system supporting sandbox modes, approval policies, model switching, and MCP server registration.

Hook Layer

Injects custom scripts into various nodes of the agent loop, enabling deterministic automation such as logging, security scanning, and format validation.

All major workflows converge on the same architectural pattern: Research → Plan → Execute → Review → Deliver.

Understanding this central axis is the prerequisite for using Codex CLI effectively.

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