A high-performance data extraction tool for retrieving full tweet content, engagement metrics, and media from X/Twitter URLs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install twitter-reader
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 twitter-reader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Twitter/X Reader Skill is a robust technical solution designed for AI agents to interface with X (formerly Twitter) without requiring complex authentication. By leveraging a multi-tier approach including the FxTwitter API and Nitter fallbacks, this skill ensures high reliability when fetching tweet text, author metadata, and engagement statistics. It is an essential component for developers building research-oriented Openclaw Skills that require real-time social media data integration.
This tool is specifically optimized for developers and researchers who need structured, machine-readable data from social platforms. By automating the extraction process, it allows AI agents to summarize conversations, track engagement, and retrieve media assets directly from a single URL input, significantly enhancing the utility of Openclaw Skills in automated workflows.
To integrate this into your environment, ensure you have curl and jq installed on your system. Use the following commands to prepare the Openclaw Skills scripts:
# Grant execution permissions to the scripts
chmod +x scripts/*.sh
# Test the primary extraction script with a sample URL
./scripts/read_tweet.sh "https://x.com/username/status/1234567890"
For macOS users, it is recommended to install gdate via Homebrew (brew install coreutils) for superior timestamp formatting.
The skill organizes extracted information into a structured format for easy consumption by other Openclaw Skills. The data schema is organized as follows:
| Object | Field | Description |
|---|---|---|
| tweet | text |
The full text content of the post |
| author | handle |
The @username of the tweet creator |
| engagement | likes |
Integer count of likes/favorites |
| media | photos |
Array of full-resolution image URLs |
| media | video |
Direct URL to the MP4 video file if present |
| quoted_tweet | text |
Content of the embedded quote tweet |
read_thread.sh script automatically follows reply chains from the same author to reconstruct full threads up to 50 tweets deep.Loading
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