Claude Skill

christinminor459/OnionClaw

OnionClaw 是一个零配置的 OpenClaw 技能和独立工具,为 AI 代理提供完整的 Tor 网络访问和暗网数据。基于 Python 构建,支持 SOCKS5 代理、隐藏服务以及 LLM/MCP 集成,适用于 OSINT 和安全研究。

概览

Stars195
Forks56
语言Python
最后更新2026-05-27
最近同步2026-06-21
前往 GitHub

仓库信息

拥有者christinminor459
仓库OnionClaw
完整名称christinminor459/OnionClaw
Repo ID1,194,800,860

安装这个 Skill

pip install requests[socks] beautifulsoup4 python-dotenv stem

Registry 信息

类型mcp_server
质量分75/100
验证状态readme_parsed
最近验证2026-06-21
平台
ClaudeMCPOpenClaw
能力
pdfmemorysearchterminalworkflowai-agentshidden-servicesllmmcp-serveronion
识别文件
README.mdSKILL.mdrequirements.txt
配置键
URLOPENAI_API_KEYANTHROPIC_API_KEYGEMINI_API_KEY
安装方式
  • pip install requests[socks] beautifulsoup4 python-dotenv stem
  • git clone https://github.com/JacobJandon/OnionClaw ~/.openclaw/skills/onionclaw
  • git clone https://github.com/JacobJandon/OnionClaw

项目简介

OnionClaw 是一个零配置的 OpenClaw 技能和独立工具,为 AI 代理提供完整的 Tor 网络访问权限和暗网数据能力。基于 Python 构建,它能够无缝集成 LLM、MCP 服务器和 OSINT 工作流,实现安全匿名浏览和威胁情报收集。

英文描述

Provide AI agents with full Tor network access and dark web data through a zero-config OpenClaw skill or standalone tool.

要点

  • 为 AI 代理提供零配置的 Tor 网络访问
  • 支持独立工具和 OpenClaw 技能双模式运行
  • 集成 SOCKS5 代理实现匿名浏览
  • 支持暗网数据检索和隐藏服务
  • 兼容 LLM 和 MCP 服务器架构
  • 专为安全研究和 OSINT 应用设计

使用场景

  • 让 AI 代理通过 Tor 执行匿名网页抓取
  • 从暗网来源收集威胁情报
  • 与基于 LLM 的代理集成实现安全数据检索
  • 利用隐藏服务进行 OSINT 调查
  • 自动化需要 Tor 访问的安全研究工作流

README 摘要

# OnionClaw 🧅 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/JacobJandon/OnionClaw/blob/main/LICENSE) [![CI](https://github.com/JacobJandon/OnionClaw/actions/workflows/ci.yml/badge.svg)](https://github.com/JacobJandon/OnionClaw/actions/workflows/ci.yml) [![OpenClaw Skill](https://img.shields.io/badge/OpenClaw-skill-blueviolet)](https://github.com/JacobJandon/OnionClaw) **by JacobJandon** <p align="center"> <img src="OnionClaw-logo.png" alt="OnionClaw logo" width="200"/> </p> > **OpenClaw skill + standalone tool** — full Tor / dark web access for AI agents OnionClaw gives AI agents full access to the Tor network and .onion hidden services. It runs as an [OpenClaw](https://github.com/openclaw/openclaw) skill (drop-in, zero config beyond a `.env` file) and also works standalone from any terminal. Based on the [SICRY](https://github.com/JacobJandon/Sicry) engine — 18 dark web search engines, Robin OSINT pipeline, four LLM analysis modes. ```bash # As an OpenClaw skill: cp -r OnionClaw ~/.openclaw/skills/onionclaw # → agent now has 7 dark web commands available in every session # Standalone: python3 check_tor.py # verify Tor python3 search.py --query "ransomware healthcare" python3 pipeline.py --query "acme.com data leak" --mode corporate ``` --- ## ⚠️ The Rabbit Hole > *Autonomous agents paired with the Tor network will be one of the most dangerous automation stacks on the internet within the next five years. OnionClaw is living proof that the rabbit hole goes deeper than most people think.* This tool is built for **legitimate OSINT, threat intelligence, and security research**. But the same primitives — anonymous routing, bulk scraping, AI-driven synthesis, zero-attribution browsing, automated identity rotati

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数据来自 GitHub,同步时间:2026-06-21