A privacy-respecting metasearch skill that allows AI agents to search the web, images, and news via a local SearXNG instance.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install my-searxng
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 my-searxng using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
SearXNG Search is a robust skill designed for Openclaw Skills that enables private, self-hosted web search capabilities. By leveraging a local SearXNG instance, this skill aggregates results from multiple engines like Google, Bing, and DuckDuckGo without external API dependencies or tracking. It is specifically engineered for AI workflows, providing clean, token-efficient text output that helps agents find real-time information, news, and technical documentation while maintaining strict data privacy.
This skill is ideal for developers who want to give their agents internet access without relying on expensive or privacy-invasive third-party search APIs. Since it uses a zero-dependency Python backend, it integrates seamlessly into existing environments with minimal overhead.
First, ensure you have a running SearXNG instance. Then, configure the instance URL in the searxng.ini file located at {baseDir}/scripts/searxng.ini.
[searxng]
url = http://your-searxng-instance.com:port
Ensure Python 3 is installed. To test the search manually via the CLI, use the following command:
python3 {baseDir}/scripts/searxng.py search "your query"
The skill manages its connection via a local configuration file and outputs data formatted for LLM consumption.
| Component | Details |
|---|---|
| Configuration | searxng.ini storing the instance URL. |
| Input Parameters | Query string, result count (-n), category, language, and time-range. |
| Default Output | A standard text table optimized for low token usage. |
| JSON Output | Available via --format json for raw data processing. |
pip install, ensuring high portability.Loading
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