AWI is a zero-configuration single-binary tool for AI agents to read webpages and search the internet using an intelligent three-level fallback strategy.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install awi
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install awi using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AWI (Agentic Web Interface) is a powerful, lightweight utility designed to give AI agents direct access to the live web. By integrating this into Openclaw Skills, developers can enable their agents to perform real-time searches and extract content from complex websites without the overhead of Docker or external API keys. It handles the complexities of web navigation automatically, ensuring high success rates across different site architectures.
The core value of AWI lies in its simplicity and resilience. It utilizes a sophisticated three-level automatic fallback mechanism: starting with high-speed direct HTTP requests, moving to stealth mode for basic anti-bot bypass, and finally utilizing headless browser rendering for JavaScript-heavy pages. This makes it an essential component for any Openclaw Skills collection focused on data gathering or research.
Install the AWI binary using the automated script provided in the Openclaw Skills directory:
bash ~/clawd/skills/awi/scripts/install.sh
Alternatively, download the binary for your specific architecture (macOS ARM/Intel or Linux) directly from the GitHub releases page and ensure it is in your system PATH.
AWI supports multiple output formats to fit different agent workflows within the Openclaw Skills ecosystem.
| Feature | Description |
|---|---|
| Search Provider | DuckDuckGo |
| Output Formats | JSON, Markdown, Plain Text |
| Backends | direct, stealth, browser |
| Configuration | Zero-config (Command-line arguments only) |
When using the JSON format, the skill returns structured objects containing the page title, URL, and the extracted body content.
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