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Official Verified social Safety 4/5

Twitter Reader

Skill by iheardulkbtc

Why use this skill?

Easily extract tweet text, engagement statistics, media, and author details from X/Twitter URLs using the OpenClaw Twitter Reader skill.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/iheardulkbtc/twitter-reader
Or

What This Skill Does

The Twitter Reader skill by iheardulkbtc is a robust utility designed for the OpenClaw AI agent to interface with X (formerly Twitter). It serves as a data extraction layer that parses, fetches, and structures information from tweet URLs. By utilizing a multi-tiered approach, it ensures that data retrieval remains consistent even if one source becomes temporarily unavailable. The skill captures the full spectrum of a tweet's data, including primary text content, metadata regarding the author, precise engagement metrics such as like counts and retweets, embedded media assets, and even complex quote-tweet chains. It effectively transforms raw, unparsed web URLs into actionable, structured data that the OpenClaw agent can interpret, summarize, or analyze for the user.

Installation

To install the Twitter Reader skill, open your terminal or command-line interface within your OpenClaw environment and execute the following command:

clawhub install openclaw/skills/skills/iheardulkbtc/twitter-reader

Once the installation completes, the agent will automatically gain the capability to process X URLs using the internal scripts provided by the package. Ensure your environment has the necessary permissions to execute scripts and perform network requests to X and Nitter instances.

Use Cases

This skill is indispensable for users who consume information via X but prefer an aggregated, summarized, or analyzed view. Primary use cases include:

  • Research and Content Curation: Gathering insights from lengthy threads or specific professional tweets without manually browsing the site.
  • Engagement Tracking: Quickly checking the virality or response rates of a particular post via the extracted metadata.
  • Media Archival: Automatically pulling direct links to images or videos shared in posts for later use.
  • Cross-Platform Analysis: Feeding extracted tweet content into other OpenClaw agents for sentiment analysis or document drafting.

Example Prompts

  1. "What does this tweet say? https://x.com/elonmusk/status/123456789"
  2. "Can you summarize the main points of this Twitter thread for me? https://twitter.com/OpenAI/status/987654321"
  3. "Extract the media and engagement statistics from this post: https://x.com/developer/status/555666777"

Tips & Limitations

  • Reliability: The skill utilizes both standard X endpoints and Nitter as a fallback. If a tweet is private or restricted, access may be limited.
  • Rate Limiting: Be aware that excessive automated requests to X may trigger rate limits or CAPTCHA requirements, which could temporarily affect the skill's performance.
  • Formatting: Always ensure you provide the full status URL to ensure the script identifies the unique identifier correctly. The skill automatically handles mobile and query-parameter-heavy URLs.

Metadata

Stars2387
Views1
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-iheardulkbtc-twitter-reader": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#twitter#social-media#scraping#data-extraction#automation
Safety Score: 4/5

Flags: network-access