onionclaw

Coordinate Tor connectivity, multi-engine search, and batched scraping to generate structured OSINT reports.

62|7|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/JacobJandon/OnionClaw --skill onionclaw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: onionclaw
Source: https://github.com/JacobJandon/OnionClaw/tree/main
Command: npx skills add https://github.com/JacobJandon/OnionClaw --skill onionclaw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OnionClaw enables AI agents to access the Tor network to perform OSINT on hidden services, automate searches, fetch onion pages, rotate identities, and generate structured investigation reports without leaving context.

Core Features & Use Cases

  • Full Tor-based OSINT toolkit: search 12 active dark web engines, fetch onion pages, rotate identity, and synthesize OSINT reports with the Robin pipeline.
  • Use cases include credential surveillance, ransomware research, threat intelligence, and dark-web monitoring for researchers and security teams.

Quick Start

Start Tor, configure your environment, and run a pipeline query to generate a structured OSINT report.

Frequently Asked Questions about onionclaw

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform dark web OSINT investigations using AI agents on the Tor network?

Tor dark web OSINT for AI agents involves searching 12 active engines, fetching onion pages, rotating identity, and synthesizing reports. This skill coordinates Tor connectivity and LLM analysis to generate structured threat intelligence outputs.

Can I automate dark web monitoring and credential surveillance without leaving my agent's context?

Automating dark web monitoring without leaving context is supported through a self-contained OpenClaw skill. It orchestrates Tor connectivity, batched scraping, and watch alert capabilities to produce structured OSINT reports seamlessly.

Do I need an LLM to run onion service scraping and threat intelligence generation?

An LLM is not strictly required because the skill provides an optional no-llm mode for onion service scraping. However, LLM-enabled analysis through the Robin pipeline synthesizes fetched pages into structured threat intelligence reports.

What is the best way to search multiple dark web engines for ransomware research?

Searching multiple dark web engines for ransomware research is best handled through an orchestration pipeline querying 12 active engines over Tor. This enables batched scraping and LLM-enabled analysis to produce structured threat intelligence reports.

Does this dark web OSINT tool require external dependencies or separate scraping components?

This dark web OSINT tool is self-contained with no external dependencies, bundling the SICRY engine internally. It coordinates Tor connectivity, multi-engine search, and batched scraping for seamless OpenClaw integration.