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 · ★ 4.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hermes-agent-orange-book safe to install? View the security audit →
English | 中文版 README Animated with huashu-design skill Hermes Agent 2.0: The Complete Guide 橙皮书 (Orange Book) Series · by HuaShu (花叔) A hands-on guide to Hermes Agent, the open-source AI Agent framework by Nous Research — the first agent that ships with its "reins" built in, and the reins grow themselves. This is a from-scratch rewrite. The first edition was based on Hermes v0.7.0. Two months and nine releases later, the product had grown a whole new face — a native desktop app, a full browser dashboard, 23 messaging platforms — so the book is rebuilt around v0.16.0 ("The Surface Release"). Download What This Book Covers Hermes Agent is an open-source AI Agent framework from Nous Res
| Stars | 4,949 |
| Forks | 493 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 52.0199745955972/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-23 |
| Created | 2026-04-08 |
| Platforms | python |
| Est. Tokens | ~14k |
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hermes-agent-orange-book is Hermes Agent 从入门到精通 · 橙皮书系列 · Nous Research 开源 AI Agent 框架实战指南. It is categorized as a Codex Skill with 4.9k GitHub stars.
hermes-agent-orange-book is primarily written in Python.
You can find installation instructions and usage details in the hermes-agent-orange-book GitHub repository at github.com/alchaincyf/hermes-agent-orange-book. The project has 4.9k stars and 493 forks, indicating an active community.
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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: