An efficient utility for AI agents to retrieve, analyze, and summarize text content from static web pages via HTTP/HTTPS.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install emily-web-fetch
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 emily-web-fetch 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 Web Fetch Skill?
The Web Fetch Skill provides a streamlined way for AI agents to interact with the broader web. By targeting specific URLs, it allows the agent to pull raw text or HTML content, facilitating real-time data gathering for news, announcements, and research. This tool is a fundamental addition to any Openclaw Skills collection, bridging the gap between local processing and live online information.
Designed for speed and efficiency, it focuses on static content retrieval, ensuring that agents can quickly access the data they need without the overhead of heavy browser rendering. It serves as a bridge for agents to stay updated with the latest external information directly within their workflow.
Web Fetch Skill Use Cases
- Extracting the latest headlines and telegraphs from news portals.
- Gathering data from public announcement pages for automated reporting.
- Summarizing lengthy articles or documentation found on static URLs.
- Monitoring specific web resources for text-based updates and information extraction.
How Web Fetch Skill Works
- The user or a parent workflow provides a target URL to the AI agent.
- The agent invokes the fetch(url) tool provided by this skill.
- The system executes an HTTP or HTTPS GET request to the specified web address.
- The skill captures the static content, filtering it into a readable text format.
- The retrieved data, limited to a 5000-character window, is returned to the agent for final analysis or summarization.
Web Fetch Skill Setup
To integrate this capability into your agent environment, follow these steps:
# Install the Web Fetch Skill via the CLI
openclaw add web-fetch
# Configure network permissions to allow GET requests
openclaw configure web-fetch --allow-external
Web Fetch Skill Data Schema & Taxonomy
The skill processes data using a simple input/output schema to ensure compatibility across various Openclaw Skills:
| Parameter | Type | Description |
|---|---|---|
| url | string | The valid HTTP/HTTPS URL of the target webpage. |
| content | string | The returned text content, capped at 5000 characters. |
| status | integer | The HTTP response status code (e.g., 200, 404). |
Web Fetch Skill Advanced Features
- Intelligent content truncation at 5000 characters to optimize token usage and prevent response overflow.
- Compliance-first architecture that respects robots.txt files and site-specific crawling permissions.
- Support for secondary analysis, allowing the agent to chain this skill with other Openclaw Skills for deep data extraction.
SKILL.md
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