A powerful search tool for AI agents to query and summarize real-time X (Twitter) posts using the xAI Grok API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install x-skill-a
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 x-skill-a using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The X Search skill provides a direct bridge between your AI workflows and the real-time social layer of X (Twitter). By leveraging the xAI Grok API, this tool allows agents to not only retrieve posts but also understand the context of what is being discussed across the platform. It is a vital addition to the Openclaw Skills library for any developer building agents that require up-to-the-minute social sentiment or news tracking.
This skill is designed for high precision, allowing users to filter by specific handles or date ranges. Unlike standard scrapers, it uses official API endpoints to ensure data integrity and provides structured citations, making it ideal for research and automated reporting tasks within the Openclaw Skills ecosystem.
To get started with this skill, you need a valid xAI API key and a Python environment.
export XAI_API_KEY="xai-your-key-here"
~/.openclaw/openclaw.json under the skills."x-search".env.XAI_API_KEY path.The X Search skill handles data through a Python-based script execution model. The metadata and results are structured as follows:
| Property | Description |
|---|---|
| Query | The primary search string provided to the xAI Grok engine |
| Filters | Array of included or excluded handles, and ISO 8601 date strings |
| Citations | Links to original X posts for verification and deep-linking |
| Multimedia | Flags to toggle the inclusion of image and video contextual data |
--from and --to flags to perform historical audits or specific event tracking.Loading
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