codex-orange-book: an unofficial Chinese Codex guide you read, not install

A book repository, not a Codex wrapper

The problem this project solves is documentation drift in a different direction. Codex moves quickly, and Chinese-speaking developers who want a route from installation to a finished project have to assemble that route from release notes, forum posts and trial and error. This repository packages one such route as a book: the README describes it as a Chinese guide organized around ChatGPT Work, Codex and real usage scenarios, aimed at developers, indie developers and heavy users of AI tools. The README is explicit that it is not OpenAI documentation and does not represent official product commitments, and that the content is compiled from public capabilities, actual interfaces and hands-on cases.

That framing matters for how you read the rest of this review. There is no CLI to install, no server to run, no API surface to call. The deliverables are a Markdown manuscript, two PDFs and a static site. The repository's primary language is HTML because of the reader pages, not because the project is a web application. If you arrived looking for a Codex plugin or a prompt library, you are in the wrong repository.

What the table of contents actually covers

The README lists the book's scope in enough detail to judge fit before you download anything. It starts with basic orientation: how Codex differs from ChatGPT and from tools like Cursor. Then installation, configuration and environment preparation across several entry points, which the README names as the Codex App, the CLI, the IDE Extension and Web or Cloud. The core-capability section covers Work, Sites, automation, plugins, Skill, MCP, Git and GitHub workflows, cloud execution, the memory system and a Chrome extension. A standard workflow chapter runs from requirement breakdown through planning, implementation and verification to delivery. Case studies include building a front-end page, optimizing a feature, assembling an admin dashboard, and generating slides and a promotional video. An appendix records unofficial experiments such as connecting third-party models.

The breadth is the point and also the risk. A single book that touches MCP, cloud execution, memory and a Chrome extension will necessarily be thinner on each than a dedicated guide. Read it as a map of what exists and where the pieces connect, then go to primary sources for the parts you will actually depend on.

How the PDF, Markdown and static site are generated

The repository layout tells you how the artifacts relate. ChatGPT橙皮书.md is the full manuscript. ChatGPT橙皮书.pdf is the complete PDF, and ChatGPT橙皮书.preview.pdf is a version sized for GitHub's preview. book.html is described as the intermediate page for PDF layout and export, cover.html is the cover page, and assets/images holds the figures used in the text. site/ is a complete static website ready to deploy, and site/index.html is its entry point after the full text is synchronized. The root index.html exists mainly to open the PDF online. tools/ contains the scripts for building and checking the PDF and the static site.

This is a build pipeline in the loose sense: HTML pages feed a PDF exporter, and the site mirrors the Markdown. The README does not document the individual scripts in tools/, so you cannot tell from the README alone which command regenerates the PDF or what the checker validates. If you intend to fork and edit the book, budget time to read those scripts directly.

Reading it: online, Markdown or PDF

There is nothing to install. The README gives four reading entries, and the choice between them is about format rather than setup. The online reader is linked at bozhoudev.github.io/codex-orange-book. The full manuscript is the Markdown file in the repository root, which is the version to open if you want to search the text or diff it against a later revision. The complete PDF is fetched from a raw.githubusercontent.com URL, and a preview PDF sits in the repository for GitHub's viewer.

If you prefer working from a clone, the standard GitHub flow applies:

git clone https://github.com/bozhouDev/codex-orange-book.git
cd codex-orange-book

After cloning you get the manuscript, both PDFs, the HTML pages, assets/images and the site/ directory. Open ChatGPT橙皮书.md in any editor to read the text, or open index.html in a browser to view the PDF reader. The README does not list a command for serving site/ locally, so treat the static site as a deployable directory rather than something with a documented dev server.

Where the guide stops being authoritative

The README's own disclaimer is the most important paragraph in the repository. It states that Codex updates quickly and that installation methods, model names, quotas, entry-point locations and command parameters may all change, and it tells readers to defer to OpenAI's official documentation, the current Codex version and what their own account actually shows for specific features, prices and account capabilities.

That is an honest limitation, and it is also a hard one. Any chapter that walks through a configuration screen or a command will age at the pace of the product. The book cannot warn you at the point of use; a stale screenshot looks exactly like a current one. The repository is also not a maintained piece of software in the usual sense. The last push was on 2026-08-14, which is recent, but there are no releases and the commit activity you would track is editorial rather than functional. If your requirement is a reference you can cite in an internal runbook, this is the wrong artifact. Use it for orientation and for the case-study reasoning, and verify every concrete step against the product in front of you.

How it differs from a tool like Cursor's docs

The README positions the book partly by contrast with Cursor, and that contrast is worth taking seriously as an alternative. Cursor ships documentation for a single product with a defined surface: its own editor, its own settings, its own release cadence. When Cursor changes a setting, the docs change with it, and the vendor is accountable for the description.

This book covers a moving target that it does not control, and it is written by third parties. The trade is real in both directions. Vendor documentation is more likely to be accurate on flags and defaults, and it will not teach you a delivery workflow that spans planning, implementation and verification with case studies attached. This book will not tell you the current name of a model or the current location of a menu item with any guarantee. If you need the second thing, read this; if you need the first, read OpenAI's docs and treat this as background.

Licence, reuse and the cost of keeping a fork current

The project is released under the MIT License, with the licence file in the repository root. For a book, that is permissive in a practical sense: you can reuse the text and the build pages in your own materials, including commercially, provided you keep the copyright and permission notice with the copies. The README does not spell out attribution expectations beyond the licence itself, and it does not discuss the images in assets/images separately, so if you plan to redistribute figures rather than just read them, check the licence file and the repository contents yourself rather than assuming the MIT grant settles every asset. This is a description of what the repository states, not legal advice.

Upgrade cost is editorial, not technical. There is no dependency graph and no version to bump. The cost is the time to re-read a chapter against the current Codex interface and correct it, plus whatever it takes to regenerate the PDF through the HTML pages in the root and the scripts in tools/. The README does not document rollback or a versioning scheme for the manuscript, so a fork that drifts from upstream has no documented way to reconcile.

Editorial conclusion

Adopt this repository if you want a Chinese-language walkthrough of Codex workflows, from requirement breakdown to delivery, plus case studies you can read offline as a PDF. Do not adopt it as reference documentation for current flags, model names or quotas: the README itself says those change and points you to OpenAI's official docs. Do not expect a maintained tool either, since the repository is a book plus build scripts. Before relying on any chapter, check the date of the last push, 2026-08-14, against the Codex version you are actually running, and open ChatGPT橙皮书.md to confirm a section still matches what you see in the product.

Frequently asked questions

Official sources

1. bozhouDev/codex-orange-book on GitHub
2. Issues
3. License: MIT
4. Project website
5. README