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 yeuxuan · Codex Skill · ★ 744
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openclaw-docs safe to install? View the security audit →
OpenClaw 中文文档 | 源码剖析 · 安装教程 · AI 智能体框架 OpenClaw（原名 ClawdBot）是开源多通道 AI 智能体框架，支持 WhatsApp、Telegram、Discord、飞书等平台，可接入 Claude、GPT、DeepSeek、Ollama 等模型。本仓库是其完整中文文档站，276 篇深度教程，覆盖安装部署、源码剖析、Gateway 配置与 AI 核心框架解析。 📖 立即在线阅读 → openclaw-docs.dx3n.cn 📚 文档覆盖范围 本文档站包含 276 篇原创中文教程，分为 4 条学习主线： [→ 适配器索引](https://openclaw-docs.dx3n.cn/beginner-openclaw-gui
| Stars | 744 |
| Forks | 108 |
| Language | JavaScript |
| Category | Codex Skill |
| Quality Score | 62.2188532057681/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-19 |
| Created | 2026-02-19 |
| Platforms | node |
| Est. Tokens | ~14k |
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openclaw-docs is OpenClaw 中文文档站 | AI 智能体框架 源码剖析 安装教程 | WhatsApp Telegram Discord 飞书 多通道机器人. It is categorized as a Codex Skill with 744 GitHub stars.
openclaw-docs is primarily written in JavaScript. It covers topics such as ai-agent, chinese, clawdbot.
You can find installation instructions and usage details in the openclaw-docs GitHub repository at github.com/yeuxuan/openclaw-docs. The project has 744 stars and 108 forks, indicating an active community.
The top alternatives to openclaw-docs on Agent Skills Hub include moltis, awesome-openclaw, lucid-memory. 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: