据 AlphaMoat 统计,截至 2026-09,Moss Skill-9 累计下载 1,299 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 4,892 位,在「AI 智能体」分类(969 个)中排名第 942 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 28 | 1,043 | - | - |
| SkillHub ↗ | 190 | 1,299 | - | — |
各平台的计数口径不同,统计时间不一致。
Agent Reach 是安装配置工具,自身没有内容读取或搜索命令;完成设置后调用 xreach、yt-dlp、gh、mcporter 等上游工具,按 doctor 输出配置并复查。登录平台需要 Cookie 或扫码,Cookie 登录有封号风险,应使用专用账号;服务器 IP 可能被拦截并需代理。YouTube 下载需要 JS runtime,微信公众号需真实浏览器,抖音语音提取分支需硅基流动 API Key。工具、配置和临时输出分别放在指定目录,不写入工作区。
资料发布于 2026-10-26
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 1,299 | — | - |
| 2026-08 | 1,069 | +12.1% | - |
| 2026-07 | 954 | — | - |
| 2026-05 | 666 | — | - |
| 2026-03 | 431 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: agent-reach description: > Give your AI agent eyes to see the entire internet. Install and configure upstream tools for Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, LinkedIn, Boss直聘, WeChat (微信公众号), RSS, and any web page — then call them directly. Use when: (1) setting up platform access tools for the first time, (2) checking which platforms are available, (3) user asks to configure/enable a platform channel. Triggers: "帮我配", "帮我添加", "帮我安装", "agent reach", "install channels",
"configure twitter", "enable reddit".
---
# 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:
| Purpose | Directory |
|---------|-----------|
| 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
```bash
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
```bash
agent-reach doctor # channel status overview
agent-reach watch # quick health + update check
agent-reach check-update # check for new versions
```
## Configure channels
```bash
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 ("帮我配 XXX")
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 导入(所有需要登录的平台通用)
> ⚠️ **重要提醒:** 使用 Cookie 登录的平台存在封号风险,请提醒用户务必使用**专用小号**。
所有需要 Cookie 的平台(Twitter、小红书等),**优先使用 Cookie-Editor 导入**:
1. 用户在自己的浏览器登录对应平台
2. 安装 [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) Chrome 插件
3. 点击插件 → Export → Header String
4. 把导出的字符串发给 Agent
本地电脑用户也可以用 `agent-reach configure --from-browser chrome` 一键自动提取。
扫码登录是备选方案(仅限本地有浏览器的情况),Cookie-Editor 更简单可靠。
### 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)
```bash
# 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 需要 JS runtime 才能下载 YouTube。`agent-reach install` 会自动配置 Node.js 作为 runtime。
> 如果遇到 "Sign in to confirm you're not a bot",是 IP 被 YouTube 反爬,换代理或加 cookies。
```bash
# 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)
> ⚠️ 服务器 IP 可能被 Bilibili 拦截(412 错误)。建议通过代理访问,或加 `--cookies-from-browser chrome`。
```bash
# 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)
```bash
# 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.
### 小红书 / XiaoHongShu (mcporter + xiaohongshu-mcp)
> ⚠️ 需要登录。使用 Cookie-Editor 导入 cookies 或扫码登录。
```bash
# 搜索笔记
mcporter call 'xiaohongshu.search_feeds(keyword: "query")'
# 获取笔记详情(含评论)
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy")'
# 获取全部评论
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy", load_all_comments: true)'
# 发布图文笔记
mcporter call 'xiaohongshu.publish_content(title: "标题", content: "正文", images: ["/path/to/img.jpg"], tags: ["美食"])'
# 发布视频笔记
mcporter call 'xiaohongshu.publish_with_video(title: "标题", content: "正文", video: "/path/to/video.mp4", tags: ["vlog"])'
```
其他功能(点赞、收藏、评论、用户主页等):`npx mcporter list xiaohongshu`
### 抖音 / Douyin (mcporter + douyin-mcp-server)
```bash
# 解析抖音视频信息(分享链接 → 标题、作者、无水印视频URL等)
mcporter call 'douyin.parse_douyin_video_info(share_link: "https://v.douyin.com/xxx/")'
# 获取无水印视频下载链接
mcporter call 'douyin.get_douyin_download_link(share_link: "https://v.douyin.com/xxx/")'
# AI 提取视频语音文案(需要配置硅基流动 API Key)
mcporter call 'douyin.extract_douyin_text(share_link: "https://v.douyin.com/xxx/")'
```
> 无需登录即可解析视频。支持抖音分享链接和直接链接。
### GitHub (gh CLI)
```bash
# 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)
```bash
# 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)
```bash
# 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)
```bash
# 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直聘 (mcporter + mcp-bosszp)
```bash
# Browse recommended jobs
mcporter call 'bosszhipin.get_recommend_jobs_tool(page: 1)'
# Search jobs
mcporter call 'bosszhipin.search_jobs_tool(keyword: "Python", city: "北京", 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"`
### 微信公众号 (wechat-article-for-ai + miku_ai)
**Search** (miku_ai — Sogou WeChat search):
```python
# 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):
```bash
# 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)
```python
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.
记录自身发现以实现自我改进的技能
帮助用户发现和安装智能体技能,当用户询问如「如何做X」、「找X的技能」、「有能做...的吗」等问题时
给 AI agent 用的浏览器自动化命令行技能。
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
类型化知识图谱,用于结构化智能体记忆与可组合技能。适用于以下场景:创建/查询实体(人物、项目、任务、事件、文档)、关联相关对象、强制执行约束、将多步操作规划为图谱变换,或当技能需要共享状态时。触发关键词包括"记住""我知道关于什么""将X链接到Y""显示依赖关系"、实体增删改查操作,以及跨技能数据访问。
将 AI 代理从任务执行者转变为能够预见需求、持续优化的主动伙伴。现已支持 WAL Protocol、Working Buffer、Autonomous Crons 及经过实战验证的模式。属于 Hal Stack 🦞。
创建有效技能指南。当用户希望创建新技能(或更新现有技能)以利用专业知识、工作流程或工具集成扩展 Claude 的能力时,应使用此技能。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。