agent-reach
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu (小红书), Douyin (抖音), Weibo (微博), WeChat Articles (微信公众号), LinkedIn, Instagram, RSS, Exa web search, and any web page. One command install, zero config for 8 channels, agent-reach doctor for diagnostics. Use when: (1) user asks to search or read any of these platforms, (2) user shares a URL from any supported platform, (3) user asks to search the web, find information online, or research a topic, (4) user asks to post, comment, or interact on supported platforms, (5) user asks to configure or set up a platform channel. Triggers: "搜推特", "搜小红书", "看视频", "搜一下", "上网搜", "帮我查", "全网搜索", "search twitter", "read tweet", "youtube transcript", "search reddit", "read this link", "看这个链接", "B站", "bilibili", "抖音视频", "微信文章", "公众号", "LinkedIn", "GitHub issue", "RSS", "微博", "search online", "web search", "find information", "research", "帮我配", "configure twitter", "configure proxy", "帮我安装".
Best use case
agent-reach is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu (小红书), Douyin (抖音), Weibo (微博), WeChat Articles (微信公众号), LinkedIn, Instagram, RSS, Exa web search, and any web page. One command install, zero config for 8 channels, agent-reach doctor for diagnostics. Use when: (1) user asks to search or read any of these platforms, (2) user shares a URL from any supported platform, (3) user asks to search the web, find information online, or research a topic, (4) user asks to post, comment, or interact on supported platforms, (5) user asks to configure or set up a platform channel. Triggers: "搜推特", "搜小红书", "看视频", "搜一下", "上网搜", "帮我查", "全网搜索", "search twitter", "read tweet", "youtube transcript", "search reddit", "read this link", "看这个链接", "B站", "bilibili", "抖音视频", "微信文章", "公众号", "LinkedIn", "GitHub issue", "RSS", "微博", "search online", "web search", "find information", "research", "帮我配", "configure twitter", "configure proxy", "帮我安装".
Teams using agent-reach should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-reach/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-reach Compares
| Feature / Agent | agent-reach | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu (小红书), Douyin (抖音), Weibo (微博), WeChat Articles (微信公众号), LinkedIn, Instagram, RSS, Exa web search, and any web page. One command install, zero config for 8 channels, agent-reach doctor for diagnostics. Use when: (1) user asks to search or read any of these platforms, (2) user shares a URL from any supported platform, (3) user asks to search the web, find information online, or research a topic, (4) user asks to post, comment, or interact on supported platforms, (5) user asks to configure or set up a platform channel. Triggers: "搜推特", "搜小红书", "看视频", "搜一下", "上网搜", "帮我查", "全网搜索", "search twitter", "read tweet", "youtube transcript", "search reddit", "read this link", "看这个链接", "B站", "bilibili", "抖音视频", "微信文章", "公众号", "LinkedIn", "GitHub issue", "RSS", "微博", "search online", "web search", "find information", "research", "帮我配", "configure twitter", "configure proxy", "帮我安装".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Agent Reach — Usage Guide
Upstream tools for 13+ platforms. Call them directly.
Run `agent-reach doctor` to check which channels are available.
## ⚠️ Workspace Rules
**Never create files in the agent workspace.** Use `/tmp/` for temporary output and `~/.agent-reach/` for persistent data.
## Web — Any URL
```bash
curl -s "https://r.jina.ai/URL"
```
## Web Search (Exa)
```bash
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'
mcporter call 'exa.get_code_context_exa(query: "code question", tokensNum: 3000)'
```
## Twitter/X (xreach)
```bash
xreach search "query" -n 10 --json # search
xreach tweet URL_OR_ID --json # read tweet (supports /status/ and /article/ URLs)
xreach tweets @username -n 20 --json # user timeline
xreach thread URL_OR_ID --json # full thread
```
## YouTube (yt-dlp)
```bash
yt-dlp --dump-json "URL" # video metadata
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --skip-download -o "/tmp/%(id)s" "URL"
# download subtitles, then read the .vtt file
yt-dlp --dump-json "ytsearch5:query" # search
```
## Bilibili (yt-dlp)
```bash
yt-dlp --dump-json "https://www.bilibili.com/video/BVxxx"
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --convert-subs vtt --skip-download -o "/tmp/%(id)s" "URL"
```
> Server IPs may get 412. Use `--cookies-from-browser chrome` or configure proxy.
## Reddit
```bash
curl -s "https://www.reddit.com/r/SUBREDDIT/hot.json?limit=10" -H "User-Agent: agent-reach/1.0"
curl -s "https://www.reddit.com/search.json?q=QUERY&limit=10" -H "User-Agent: agent-reach/1.0"
```
> Server IPs may get 403. Search via Exa instead, or configure proxy.
## GitHub (gh CLI)
```bash
gh search repos "query" --sort stars --limit 10
gh repo view owner/repo
gh search code "query" --language python
gh issue list -R owner/repo --state open
gh issue view 123 -R owner/repo
```
## 小红书 / XiaoHongShu (mcporter)
```bash
mcporter call 'xiaohongshu.search_feeds(keyword: "query")'
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy")'
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy", load_all_comments: true)'
mcporter call 'xiaohongshu.publish_content(title: "标题", content: "正文", images: ["/path/img.jpg"], tags: ["tag"])'
```
> Requires login. Use Cookie-Editor to import cookies.
## 抖音 / Douyin (mcporter)
```bash
mcporter call 'douyin.parse_douyin_video_info(share_link: "https://v.douyin.com/xxx/")'
mcporter call 'douyin.get_douyin_download_link(share_link: "https://v.douyin.com/xxx/")'
```
> No login needed.
## 微信公众号 / WeChat Articles
**Search** (miku_ai):
```python
python3 -c "
import asyncio
from miku_ai import get_wexin_article
async def s():
for a in await get_wexin_article('query', 5):
print(f'{a[\"title\"]} | {a[\"url\"]}')
asyncio.run(s())
"
```
**Read** (Camoufox — bypasses WeChat anti-bot):
```bash
cd ~/.agent-reach/tools/wechat-article-for-ai && python3 main.py "https://mp.weixin.qq.com/s/ARTICLE_ID"
```
> WeChat articles cannot be read with Jina Reader or curl. Must use Camoufox.
## LinkedIn (mcporter)
```bash
mcporter call 'linkedin.get_person_profile(linkedin_url: "https://linkedin.com/in/username")'
mcporter call 'linkedin.search_people(keyword: "AI engineer", limit: 10)'
```
Fallback: `curl -s "https://r.jina.ai/https://linkedin.com/in/username"`
## RSS (feedparser)
## RSS
```python
python3 -c "
import feedparser
for e in feedparser.parse('FEED_URL').entries[:5]:
print(f'{e.title} — {e.link}')
"
```
## Troubleshooting
- **Channel not working?** Run `agent-reach doctor` — shows status and fix instructions.
- **Twitter fetch failed?** Ensure `undici` is installed: `npm install -g undici`. Configure proxy: `agent-reach configure proxy URL`.
## Setting Up a Channel ("帮我配 XXX")
If a channel needs setup (cookies, Docker, etc.), fetch the install guide:
https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md
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