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agent-reach-enAgent 到达 en

Agent Skill

agent-reach-en 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

12,750

周安装

526

GitHub Stars

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下载量

4,166
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-reach-en(Agent 到达 en)
来源仓库:https://github.com/neverchenx/agent-reach-en
安装命令:
openclaw skills install agent-reach-en
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-reach-en

简介

支持 Twitter/X、Reddit、YouTube 等英文平台内容抓取与解析。

  • 适用于国际化市场研究与多语言信息处理需求。
  • 需安装上游工具并完成各平台 API 认证配置。
  • 使用前应评估数据规模与存储成本合理性。
  • 建议启用缓存机制减少重复请求开销。agent-reach-en 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
agent-reach
description
>
Triggers
configure", "add channel", "install", "agent reach", "install channels",
version
1.1.0

Agent Reach

Install and configure upstream tools for 13+ platforms. After setup, call them directly — no wrapper layer.

Workspace Rules

Never create files, clone repos, or write output in the agent workspace. Use these directories instead:

PurposeDirectory
Temporary output (subtitles, downloads)/tmp/
Upstream tool repos~/.agent-reach/tools/
Config & tokens~/.agent-reach/

Violating this will pollute the user's workspace and degrade their agent experience over time.

Setup

pip install https://github.com/Panniantong/agent-reach/archive/main.zip
agent-reach install --env=auto
agent-reach doctor

install auto-detects your environment and installs core dependencies (Node.js, mcporter, xreach CLI, gh CLI, yt-dlp, feedparser). Run doctor to see what's active.

Management

agent-reach doctor        # channel status overview
agent-reach watch         # quick health + update check
agent-reach check-update  # check for new versions

Configure channels

agent-reach configure twitter-cookies "auth_token=xxx; ct0=yyy"
agent-reach configure proxy http://user:pass@ip:port
agent-reach configure --from-browser chrome    # auto-extract cookies from local browser

Configuring a channel

When a user asks to configure/enable any channel:

  1. Run agent-reach doctor
  2. Find the channel — it shows status (✅/⚠️/⬜) and what to do next
  3. Execute what you can automatically (install packages, start services)
  4. For human-required steps (paste cookies), tell the user what to do
  5. Run agent-reach doctor again to verify

Do NOT memorize per-channel steps. Always rely on doctor output.

Cookie Import (Universal for all login-required platforms)

Important: Platforms using cookie login have account ban risks. Remind users to use a dedicated secondary account.

For all platforms requiring cookies (Twitter, XiaoHongShu, etc.), prefer Cookie-Editor import:

  1. User logs into the platform in their browser
  2. Install Cookie-Editor Chrome extension
  3. Click extension → Export → Header String
  4. Send the exported string to the Agent

Local computer users can also use agent-reach configure --from-browser chrome for automatic extraction.

QR code login is a backup option (only for local environments with browser), Cookie-Editor is simpler and more reliable.

Other human actions

  • Proxy: Reddit/Bilibili/XiaoHongShu may block server IPs — suggest a residential proxy if on a server

Using Upstream Tools Directly

After agent-reach install, call the upstream tools directly.

Note: agent-reach is an installer and config tool — it does NOT have read, search, or content-fetching commands. Use the upstream tools below instead.

Twitter/X (xreach CLI)

# Search tweets
xreach search "query" --json -n 10

# Read a specific tweet
xreach tweet https://x.com/user/status/123 --json

# Read a user's timeline
xreach tweets @username --json -n 20

YouTube (yt-dlp)

yt-dlp requires JS runtime for YouTube downloads. agent-reach install auto-configures Node.js as runtime. If you see "Sign in to confirm you're not a bot", the IP is blocked by YouTube anti-crawler. Switch proxy or add cookies.
# Get video metadata
yt-dlp --dump-json "https://www.youtube.com/watch?v=xxx"

# Download subtitles only
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --skip-download -o "/tmp/%(id)s" "URL"
# Then read the .vtt file

# Search (yt-dlp ytsearch)
yt-dlp --dump-json "ytsearch5:query"

# If "no JS runtime" warning: ensure Node.js is installed, then run:
#   mkdir -p ~/.config/yt-dlp && echo "--js-runtimes node" >> ~/.config/yt-dlp/config

Bilibili (yt-dlp)

Server IPs may be blocked by Bilibili (412 error). Recommend using proxy or add --cookies-from-browser chrome.
# Get video metadata
yt-dlp --dump-json "https://www.bilibili.com/video/BVxxx"

# Download subtitles
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --convert-subs vtt --skip-download -o "/tmp/%(id)s" "URL"

# If blocked (412 / login required):
yt-dlp --cookies-from-browser chrome --dump-json "URL"

Reddit (JSON API)

# Read a subreddit
curl -s "https://www.reddit.com/r/python/hot.json?limit=10" -H "User-Agent: agent-reach/1.0"

# Read a post with comments
curl -s "https://www.reddit.com/r/python/comments/POST_ID.json" -H "User-Agent: agent-reach/1.0"

# Search
curl -s "https://www.reddit.com/search.json?q=query&limit=10" -H "User-Agent: agent-reach/1.0"

Note: On servers, Reddit may block your IP. Use proxy or search via Exa instead.

XiaoHongShu (mcporter + xiaohongshu-mcp)

Requires login. Import cookies via Cookie-Editor or QR code login.
# Search posts
mcporter call 'xiaohongshu.search_feeds(keyword: "query")'

# Get post details (with comments)
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy")'

# Get all comments
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy", load_all_comments: true)'

# Publish image post
mcporter call 'xiaohongshu.publish_content(title: "Title", content: "Content", images: ["/path/to/img.jpg"], tags: ["food"])'

# Publish video post
mcporter call 'xiaohongshu.publish_with_video(title: "Title", content: "Content", video: "/path/to/video.mp4", tags: ["vlog"])'

Other features (like, collect, comment, user profile, etc.): npx mcporter list xiaohongshu

Douyin (mcporter + douyin-mcp-server)

# Parse Douyin video info (share link -> title, author, watermark-free video URL, etc.)
mcporter call 'douyin.parse_douyin_video_info(share_link: "https://v.douyin.com/xxx/")'

# Get watermark-free video download link
mcporter call 'douyin.get_douyin_download_link(share_link: "https://v.douyin.com/xxx/")'

# AI extract video voice transcript (requires SiliconFlow API Key)
mcporter call 'douyin.extract_douyin_text(share_link: "https://v.douyin.com/xxx/")'
No login required to parse videos. Supports both Douyin share links and direct links.

GitHub (gh CLI)

# Search repos
gh search repos "query" --sort stars --limit 10

# View a repo
gh repo view owner/repo

# Search code
gh search code "query" --language python

# List issues
gh issue list -R owner/repo --state open

# View a specific issue/PR
gh issue view 123 -R owner/repo

Web — Any URL (Jina Reader)

# Read any webpage as markdown
curl -s "https://r.jina.ai/URL" -H "Accept: text/markdown"

# Search the web
curl -s "https://s.jina.ai/query" -H "Accept: text/markdown"

Exa Search (mcporter + exa MCP)

# Web search
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'

# Code search (GitHub, StackOverflow, docs)
mcporter call 'exa.get_code_context_exa(query: "how to parse JSON in Python", tokensNum: 3000)'

# Company research
mcporter call 'exa.company_research_exa(companyName: "OpenAI")'

LinkedIn (mcporter + linkedin-scraper-mcp)

# View a profile
mcporter call 'linkedin.get_person_profile(linkedin_url: "https://linkedin.com/in/username")'

# Search people
mcporter call 'linkedin.search_people(keyword: "AI engineer", limit: 10)'

# View company
mcporter call 'linkedin.get_company_profile(linkedin_url: "https://linkedin.com/company/xxx")'

Fallback: curl -s "https://r.jina.ai/https://linkedin.com/in/username"

Boss Zhipin (mcporter + mcp-bosszp)

# Browse recommended jobs
mcporter call 'bosszhipin.get_recommend_jobs_tool(page: 1)'

# Search jobs
mcporter call 'bosszhipin.search_jobs_tool(keyword: "Python", city: "Beijing", page: 1)'

# View job details
mcporter call 'bosszhipin.get_job_detail_tool(job_url: "https://www.zhipin.com/job_detail/xxx")'

Fallback: curl -s "https://r.jina.ai/https://www.zhipin.com/job_detail/xxx"

WeChat Official Accounts (wechat-article-for-ai + miku_ai)

Search (miku_ai — Sogou WeChat search):

# Search WeChat articles by keyword
python3 -c "
import asyncio
from miku_ai import get_wexin_article

async def search():
    articles = await get_wexin_article('AI Agent', 5)
    for a in articles:
        print(f'{a[\"title\"]} | {a[\"source\"]} | {a[\"date\"]}')
        print(f'  {a[\"url\"]}')

asyncio.run(search())
"

Read (Camoufox — stealth Firefox, bypasses WeChat anti-bot):

# Read a WeChat article (returns Markdown with images)
cd ~/.agent-reach/tools/wechat-article-for-ai && python3 main.py "https://mp.weixin.qq.com/s/ARTICLE_ID"

# Run as MCP server (for AI agent integration)
python3 mcp_server.py

Typical agent workflow: search → get URLs → immediately read full content.

Note: WeChat articles require a real browser to render. Jina Reader and curl cannot read them.

RSS (feedparser)

python3 -c "
import feedparser
d = feedparser.parse('https://example.com/feed')
for e in d.entries[:5]:
    print(f'{e.title} — {e.link}')
"

Troubleshooting

Twitter "fetch failed"

xreach CLI uses Node.js undici, which doesn't respect HTTP_PROXY. Solutions:

  1. Ensure undici is installed: npm install -g undici
  2. Configure proxy: agent-reach configure proxy http://user:pass@ip:port
  3. If still failing, use transparent proxy (Clash TUN, Proxifier)

Channel broken?

Run agent-reach doctor — it shows what's wrong and how to fix it.

Changelog

VersionDateChanges
v1.1.02025-03-15Translated to English
v1.0.02025-03-05Initial release

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.26%
按下载量换算3,927

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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