Agent Reach for Openclaw

A comprehensive connectivity toolkit for AI agents to search, read, and interact across 13+ major social and professional platforms.

lulu-owo
v1.0.0
Apr 6, 2026
0
714
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install agent-reach-skip

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install agent-reach-skip using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Agent Reach?

Agent Reach is a specialized suite of tools designed to bridge the gap between AI agents and the live internet. It enables seamless data extraction and interaction across diverse ecosystems including Twitter/X, Reddit, LinkedIn, and various regional platforms like WeChat and XiaoHongShu. By providing a unified interface for these services, it allows developers to build more capable Openclaw Skills that can perform real-time research, social monitoring, and automated content publishing.

This skill acts as a high-level abstraction layer over powerful CLI tools like yt-dlp, gh CLI, and mcporter. It ensures that agents can navigate complex web structures, bypass anti-bot mechanisms, and retrieve structured data without cluttering the primary workspace. Whether you are building a recruitment bot or a market analysis engine, adding this to your collection of Openclaw Skills significantly expands your agent's reach.

Agent Reach Use Cases

  • Performing cross-platform trend analysis on Reddit, Twitter, and YouTube.
  • Automating lead generation and profile research on LinkedIn and Boss Zhipin.
  • Fetching and summarizing transcripts from Bilibili or YouTube videos.
  • Monitoring GitHub repositories for new issues, code changes, or developer activity.
  • Bypassing platform-specific restrictions to read WeChat articles or XiaoHongShu feeds.

How Agent Reach Works

  1. The agent identifies a request involving web search, social media, or a specific URL.
  2. A diagnostic check is performed using the doctor command to ensure the required channel is active.
  3. The system selects the most appropriate upstream tool, such as xreach for Twitter or Camoufox for WeChat.
  4. Authentication or proxy configurations are applied automatically based on the user's setup.
  5. Structured data is retrieved, processed in a temporary directory, and returned to the agent for final synthesis.

Agent Reach Setup

To get started with this component of your Openclaw Skills, follow these steps:

# Check the status of all available channels
agent-reach doctor

# Configure a proxy for restricted platforms
agent-reach configure proxy <PROXY_URL>

# Install essential dependencies for Twitter/X integration
npm install -g undici

For platforms requiring authentication, you will need to import cookies via the Cookie-Editor tool as specified in the platform-specific installation guides.

Agent Reach Data Schema & Taxonomy

The skill maintains a strict separation of data to ensure workspace integrity:

Data Type Location Description
Persistent Data ~/.agent-reach/ Stores configuration, tool-specific data, and session info.
Temporary Data /tmp/ Used for processing downloads, subtitles, and intermediate search results.
Metadata JSON Output All search results and platform feeds are returned as structured JSON for easy parsing.

Agent Reach Advanced Features

  • Multi-agent support for concurrent platform searching and data aggregation.
  • Advanced anti-bot bypassing for reading protected WeChat articles using Camoufox.
  • Integrated content publishing capabilities for XiaoHongShu including image and tag support.
  • Code-specific search queries using Exa and GitHub CLI for technical research.
  • Automated RSS feed parsing for continuous monitoring of news sources.

SKILL.md


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