google-web-search
Enables grounded question answering by automatically executing the Google Search tool within Gemini models. Use when the required information is recent (post knowledge cutoff) or requires verifiable citation.
Why use this skill?
Enhance your OpenClaw agent with real-time web search. Enable grounded AI responses, live citations, and current information access.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/theoseo/google-web-searchWhat This Skill Does
The google-web-search skill integrates the Gemini API's native grounding capabilities into your OpenClaw agent workflow. By leveraging the google_search tool, this skill allows your AI to perform real-time queries against the live internet. Unlike static language models that rely solely on pre-trained knowledge cutoffs, this skill enables your agent to access the latest news, market data, and verifiable factual information. It provides responses accompanied by citations, ensuring that your agent acts as a grounded, reliable source of information for complex or time-sensitive tasks. The skill handles the complexity of API communication, model configuration, and tool binding, abstracting the process into a simple, reusable Python interface.
Installation
To install this skill, use the ClawHub command-line interface. Run the following command in your terminal within the OpenClaw environment:
clawhub install openclaw/skills/skills/theoseo/google-web-search
Ensure that you have the google-genai library installed in your python environment via pip install google-generativeai. You must also configure your GEMINI_API_KEY as an environment variable to allow the agent to authenticate with Google's services.
Use Cases
- Real-Time Research: Fetching the latest weather reports, stock market updates, or sports scores that occurred after your training data cutoff.
- Fact-Checking: Verifying claims or gathering multiple perspectives on current geopolitical events with accompanying source citations.
- Technical Documentation: Retrieving the most recent updates to programming libraries or framework documentation that were released post-knowledge training.
- Trend Analysis: Summarizing recent discussions or articles concerning specific emerging technologies or industry topics.
Example Prompts
- "What are the current primary takeaways from the latest G20 summit, and can you provide sources for your claims?"
- "Search for the release notes of the latest version of Python and summarize the breaking changes."
- "Who won the championship game last night, and what was the final score?"
Tips & Limitations
- Model Selection: For standard tasks, the default
gemini-2.5-flash-liteis recommended for speed. Usegemini-3-pro-previewonly when deep reasoning or complex synthesis of search results is required. - Rate Limiting: Be aware of your Google AI Studio quota limits. Frequent, rapid-fire searching may trigger rate limits.
- Grounding Reliability: While the tool provides citations, always verify sensitive information, as search results can occasionally include SEO-optimized or low-quality sources.
- Environment Stability: Ensure that your environment variables are correctly exported; the script will fail silently if the API key is missing.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-theoseo-google-web-search": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api