A high-performance AI skill leveraging xAI's Grok API to provide real-time web access, X (Twitter) insights, and multi-modal media understanding.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install grok
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 grok using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The xAI Grok Search skill empowers your AI agents to bridge the gap between static training data and the live internet. By utilizing the xAI Grok API within the Openclaw Skills ecosystem, developers can grant agents the ability to perform deep web research and social media analysis. This skill is specifically designed for high-accuracy retrieval, providing cited sources from both general web domains and the unique, real-time firehose of X (Twitter).
Beyond simple text retrieval, this skill supports advanced reasoning models and media understanding, allowing agents to interpret images and videos found during a search. Whether you are building a research assistant or a social sentiment tracker, this tool provides the necessary infrastructure for up-to-the-minute information gathering.
To get started with xAI Grok Search, you must first obtain an API key from the xAI Console at https://console.x.ai/. Once obtained, configure your environment:
export XAI_API_KEY="your-xai-api-key-here"
This key allows the Openclaw Skills framework to authenticate your requests against the Grok API. Ensure your runtime environment has network access to api.x.ai.
The skill returns highly structured data to ensure the AI agent can accurately cite its sources. The schema follows this general structure:
| Property | Type | Description |
|---|---|---|
content |
string | The final generated response based on search results. |
citations |
array | A list of source objects containing url, title, and snippet. |
usage |
object | Metadata regarding token consumption and API efficiency. |
media_analysis |
object | (Optional) Contextual data if image or video understanding was enabled. |
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