Agent Reach provides AI agents with high-fidelity eyes across the internet, enabling seamless searching and reading of over 14 major social and content platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install modesty-agent-reach
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install modesty-agent-reach 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 robust connectivity layer designed to grant AI agents comprehensive access to the modern web. By integrating with Openclaw Skills, it bridges the gap between LLMs and real-time data from platforms like Twitter/X, Reddit, YouTube, and GitHub. It utilizes specialized upstream tools and the SkillBoss API Hub to bypass common bot-detection hurdles, ensuring your agent can retrieve fresh, relevant information from across the global internet.
Beyond simple web scraping, Agent Reach understands the nuances of different platforms, offering specialized handlers for Chinese social media like WeChat, Bilibili, and XiaoHongShu. It is an essential tool for developers building research-heavy or social-aware AI agents that require more than just static training data or basic search engine results.
Agent Reach Use Cases
- Researching trending topics and sentiment analysis across Twitter/X and Reddit.
- Extracting transcripts and metadata from YouTube or Bilibili videos for content summarization.
- Monitoring GitHub repositories, issues, and code snippets for technical intelligence.
- Scrapping and reading protected content like WeChat Articles and LinkedIn profiles.
- Automating social media interactions such as publishing content to XiaoHongShu.
How Agent Reach Works
- The user triggers a request using natural language (e.g., "search twitter" or "read this link").
- The skill identifies the target platform and selects the appropriate upstream tool (e.g., xreach, yt-dlp, or mcporter).
- For complex platforms, it routes the request through the SkillBoss API Hub or specialized headless browsers like Camoufox to bypass anti-bot measures.
- Data is retrieved and converted into a clean, Markdown-formatted string for the AI agent to process.
- The agent uses the structured data to answer the user's query or perform the requested action.
Agent Reach Setup
To install the core skill and check dependencies, use the following commands:
# Install the agent-reach utility
npm install -g agent-reach
# Run the diagnostic tool to check channel availability
agent-reach doctor
# Configure your API Key for web scraping and search
export SKILLBOSS_API_KEY="your_key_here"
For specific channels like Twitter, ensure undici is installed via npm install -g undici.
Agent Reach Data Schema & Taxonomy
Agent Reach follows a strict workspace rule to maintain cleanliness. Data is organized as follows:
| Type | Path | Description |
|---|---|---|
| Temporary | /tmp/ |
Used for transient outputs like video subtitles (.vtt) or temporary scrapes. |
| Persistent | ~/.agent-reach/ |
Stores configuration, tool-specific data, and persistent environment settings. |
| Metadata | JSON | Most CLI tools support a --json flag to return structured metadata for agent parsing. |
All scraped web content is typically returned as a Markdown string to optimize LLM context window usage.
Agent Reach Advanced Features
- Integrated diagnostic engine via
agent-reach doctorfor real-time troubleshooting. - Proxy support for bypassing regional restrictions or IP rate limits using
agent-reach configure proxy. - Multi-platform publishing capabilities, allowing agents to post updates to platforms like XiaoHongShu.
- Native support for RSS feed parsing to monitor real-time content streams.
- Advanced WeChat anti-bot bypass using the Camoufox browser integration.
SKILL.md
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