---

name: DeepReader description: The default web content reader for OpenClaw. Reads X (Twitter), Reddit, YouTube, and any webpage into clean Markdown — zero API keys required. Use when you need to ingest social media posts, articles, or video transcripts into agent memory.

DeepReader

The default web content reader for OpenClaw agents. Automatically detects URLs in messages, fetches content using specialized parsers, and saves clean Markdown with YAML frontmatter to agent memory.

Use when

1. A user shares a tweet, thread, or X article and you need to read its content
2. A user shares a Reddit post and you need the discussion + top comments
3. A user shares a YouTube video and you need the transcript
4. A user shares any blog, article, or documentation URL and you need the text
5. You need to batch-read multiple URLs from a single message

Supported sources

Usage

from deepreader_skill import run

# Automatic — triggered when message contains URLs
result = run("Check this out: https://x.com/user/status/123456")

# Reddit post with comments
result = run("https://www.reddit.com/r/python/comments/abc123/my_post/")

# YouTube transcript
result = run("https://youtube.com/watch?v=dQw4w9WgXcQ")

# Any webpage
result = run("https://example.com/blog/interesting-article")

# Multiple URLs at once
result = run("""
  https://x.com/user/status/123456
  https://www.reddit.com/r/MachineLearning/comments/xyz789/
  https://example.com/article
""")

Output

Content is saved as .md files with structured YAML frontmatter:

---
title: "Tweet by @user"
source_url: "https://x.com/user/status/123456"
domain: "x.com"
parser: "twitter"
ingested_at: "2026-02-16T12:00:00Z"
content_hash: "sha256:..."
word_count: 350
---

Configuration

How it works

URL detected → is Twitter/X?  → FxTwitter API → Nitter fallback
             → is Reddit?     → .json suffix API
             → is YouTube?    → youtube-transcript-api
             → otherwise      → Trafilatura (generic)

Triggers automatically when any message contains https:// or http://.