An AI-optimized web search integration that retrieves clean, relevant data and summaries using the Tavily API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install test-search-clone
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 test-search-clone 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 Test Search?
Test Search is a specialized search utility designed to bridge the gap between AI agents and real-time web data. As a key component in the Openclaw Skills ecosystem, it leverages the Tavily API to provide search results that are specifically formatted for LLM consumption. Unlike traditional search tools, it focuses on returning context-rich summaries and direct source URLs, stripping away the noise often found in standard search engine results.
Test Search Use Cases
- Retrieving real-time technical documentation or the latest industry news during development tasks.
- Fact-checking claims or finding specific code snippets and tutorials across the web.
- Empowering AI agents to gather external context before generating complex responses or executing tasks.
How Test Search Works
- The AI agent or user initiates a search request by passing a query string to the provided script.
- The system invokes the search.mjs script, which makes a secure request to the Tavily API.
- The API processes the query, identifies high-authority sources, and generates a concise summary answer.
- The script outputs the AI-generated summary along with a list of source URLs directly into the agent's workspace.
Test Search Setup
To integrate this search capability into your Openclaw Skills setup, follow these steps:
- Obtain a TAVILY_API_KEY from https://tavily.com.
- Ensure Node.js is installed on your system.
- Configure your environment variable:
export TAVILY_API_KEY='your_api_key_here'
- Execute searches via the CLI:
node scripts/search.mjs "your search query here"
Test Search Data Schema & Taxonomy
The skill returns structured data optimized for readability and further processing. The output typically includes:
| Component | Description |
|---|---|
| AI Answer | A primary summary generated from the search results to provide immediate context. |
| Source URLs | A clean list of URLs that the agent can use for deeper research or verification. |
| Query Metadata | Details regarding the executed search query within the Openclaw Skills framework. |
Test Search Advanced Features
- Direct Tavily API integration for high-relevance filtering.
- Lightweight footprint requiring only Node.js and basic environment configuration.
- Seamless integration with Openclaw Skills allowed-tools for automated agent workflows.
- Optimized output formatting that prevents token waste in large language models.
SKILL.md
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