菜单
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.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/dvcrn/openclaw-skills-marketplace --skill deepreader命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
监控 OpenClaw GitHub 版本更新，获取最新版本发布说明，翻译成中文， 并推送到 Telegram 和 Feishu。用于：(1) 定时检查版本更新 (2) 推送版本更新通知 (3) 生成中文版发布说明
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
基于 SOC 职业分类
正在显示 SKILL.md
| 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. |
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.
| Source | Method | API Key? |
|---|---|---|
| Twitter / X | FxTwitter API + Nitter fallback | None |
| .json suffix API | None | |
| YouTube | youtube-transcript-api | None |
| Any URL | Trafilatura + BeautifulSoup | None |
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
""")
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
---
| Variable | Default | Description |
|---|---|---|
DEEPREEDER_MEMORY_PATH | ../../memory/inbox/ | Where to save ingested content |
DEEPREEDER_LOG_LEVEL | INFO | Logging verbosity |
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://.