No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by alchaincyf · Codex Skill · ★ 662
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-orange-book safe to install? View the security audit →
English | 中文版 README ← English edition · 中文版 → OpenAI Codex: The Complete Guide Orange Book Series by HuaShu (花叔) · v2.0.1 (May 2026) · Available in English and Chinese The definitive guide to OpenAI Codex — covering all five forms: CLI, Desktop App, Cloud, IDE Extension, and the new Chrome Extension, plus the mobile companion shipped on May 14. From installation to shipping products, this book takes you from zero to building independently in a week. Written by someone who has never written a single line of code by hand, yet built an App Store #1 paid app, published 8 technical books, and runs a 300K-follower content operation — all powered by AI. 🎬 Launch Film · 15 seconds Uses OpenAI's official visual identity. Designed with Huashu-Design. ⬇ Download 1080p MP4 · 中文版 What's New v2.0.1 (May 15, 2026) — addend
| Stars | 662 |
| Forks | 60 |
| Language | HTML |
| Category | Codex Skill |
| Quality Score | 57.5093487725507/100 |
| Last Updated | 2026-08-23 |
| Created | 2026-05-14 |
| Platforms | codex |
| Est. Tokens | ~17k |
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codex-orange-book is OpenAI Codex: The Complete Guide · 橙皮书系列 · GPT-5.5 时代的 AI 编程实战手册. It is categorized as a Codex Skill with 662 GitHub stars.
codex-orange-book is primarily written in HTML. It covers topics such as agentic-coding, ai-coding, codex.
You can find installation instructions and usage details in the codex-orange-book GitHub repository at github.com/alchaincyf/codex-orange-book. The project has 662 stars and 60 forks, indicating an active community.
The top alternatives to codex-orange-book on Agent Skills Hub include holysheep-cli, awesome-ChatGPT-repositories, pilot-shell. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: