A specialized extraction utility for capturing clean text from X/Twitter posts and articles while bypassing UI clutter.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install browser-read-x
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 browser-read-x 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 browser-read-x?
The browser-read-x skill is a targeted extraction tool designed for the Openclaw Skills ecosystem to handle the unique DOM structure of X/Twitter. It specifically addresses the challenges of scraping social media by focusing on the central post or article content while intelligently filtering out UI noise like sidebars, trends, login prompts, and reaction metrics.
This skill is particularly valuable for developers building research agents that need to interpret social media data without the overhead of processing unnecessary HTML chrome. By utilizing browser-level evaluation, it allows Openclaw Skills to access content that might otherwise be blocked by standard fetch methods or hidden behind authentication barriers in an active browser session.
browser-read-x Use Cases
- Extracting full X/Twitter threads or articles when standard web-fetch tools are blocked by authentication or bot detection.
- Automating social media research by capturing clean text from an already-open browser tab without reaction counts or promotional footers.
- Processing protected X content that is visible to the user's authenticated session for local data analysis and archival.
How browser-read-x Works
- The AI agent navigates to a specific X/Twitter URL using the browser navigation command.
- The browser-read-x skill initiates a browser act evaluate command.
- A specialized JavaScript snippet is injected into the page to target the status or article node specifically.
- The script cleans the content, converts it into markdown-ish text, and extracts relevant metadata.
- Structured data is returned to the agent for immediate processing within the Openclaw Skills workflow.
browser-read-x Setup
To use this skill, ensure the extraction script is available in your agent's path. Use the following structure to evaluate the page content:
# Standard usage via browser evaluation
# Path: skills/browser-read-x/extract.js
Ensure your agent environment has permissions to execute JavaScript via the browser interface used by Openclaw Skills.
browser-read-x Data Schema & Taxonomy
The skill returns a structured object containing the following fields:
| Field | Description |
|---|---|
| title | The primary title of the post or article |
| content | The core text content stripped of UI noise and formatted as markdown |
| excerpt | A brief snippet or summary of the extracted text |
| byline | The author handle or display name associated with the content |
| siteName | Always returns X or Twitter for site-specific identification |
| length | The character count of the extracted content |
| url | The canonical URL of the source page |
browser-read-x Advanced Features
- Smart Fallback: If the specific X/Twitter selectors are not found, it defaults to a generic high-fidelity article extractor.
- Authentication Bypass: Operates within the existing browser context, allowing it to read content that is only accessible to logged-in users.
- Multi-Agent Compatibility: Easily integrates with Openclaw Skills designed for sentiment analysis or news aggregation by providing structured, noise-free input data.
SKILL.md
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