Agent-Reach
Instantly Equip Your AI Agent with Internet Access in One Click
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: Agent-Reach. It is used for: Instantly Equip Your AI Agent with Internet Access in One Click Full Skill content: https://321skill.com/skills/agent-reach/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
This Skill addresses the pain point of AI Agents being unable to directly access internet information. In practical development, Agents frequently need to read web pages, search Twitter, extract YouTube subtitles, browse Reddit, or view Xiaohongshu content. However, each platform presents its own barriers—paid APIs, anti-fraud blocks, login verification, and data cleaning—which can exhaust developers. Agent-Reach encapsulates all these capabilities into simple one-line commands, instantly granting your Agent cross-platform information retrieval abilities.
Usage is extremely simple. You just need to tell your AI Agent: "Help me install Agent Reach: https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md". The Agent will then complete the installation automatically. Afterwards, you can use natural language commands to instruct the Agent to perform tasks, such as "Go check Reddit to see if anyone has encountered this bug," "Search Twitter for opinions on this product," or "Extract the subtitles from this technical video on Bilibili." Agent-Reach has built-in logic for platform adaptation, anti-fraud bypass, and data cleaning, so you don't need to worry about the underlying implementation.
It is ideal for AI Agent developers, content creators, data analysts, and social media operators who frequently need to gather information from the internet. It's particularly beneficial for users who need to monitor multiple platforms simultaneously for competitive analysis or industry research, significantly saving time on manual configuration and debugging. For AI Agent developers, it's a plug-and-play internet capability extension.
For first-time use, it's recommended to quickly configure login states with commands like "Help me configure Twitter" or "Help me configure Xiaohongshu." Please note that it requires Python 3.10+. Some platforms (like Twitter and Xiaohongshu) require a local browser login state or cookies, and server deployment may require a proxy (approximately $1/month). All data is stored locally, the code is fully open-source, ensuring privacy and security.
Key Features
Unlike general browser automation tools such as Browser Use or Playwright, Agent-Reach comes pre-configured with multi-backend routing for each platform (e.g., automatically switching to bili-cli if Bilibili is blocked), eliminating the need for users to manually adapt to platform anti-fraud changes. It also supports a one-click diagnostic command (`agent-reach doctor`) to quickly identify which channel is failing and provide repair suggestions.
Limitations
Requires Python 3.10+. For some platforms (e.g., Twitter, Xiaohongshu, Facebook), users must provide a local browser login state or cookies; it cannot be used with zero configuration on a completely headless server.
FAQ
Is Agent-Reach free?
Completely free. All tools and APIs are open-source. The only potential cost is for a server proxy (approximately $1/month), which is not required for local computer use.
What dependencies need to be installed?
Requires Python 3.10+ and command-line tools for corresponding platforms (e.g., yt-dlp, bili-cli, etc.). The installation script handles this automatically. Some platforms require a browser login state (e.g., Chrome).
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-reach/raw/index.md to read the original Skill definition (Markdown format) for Agent-Reach, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-reach/raw/index.md