agent-reach

Panniantong/Agent-Reach · Agent Skill

This skill is designed for searching and researching information on the internet, as well as accessing various platforms and websites.

Jump to install ↓

Overview

PublisherPanniantongCommunity
RepositoryPanniantong/Agent-Reach ↗
Skill folderskill
Stars78,706
Bundled files8
LicenseMIT
Last updatedAugust 5, 2026
LinksSkill source ↗ · Repository ↗

Mozgi check

What we found in the skill files. Details come with a subscription.

Security
medium risk · 1 point needs attention
Compatibility
instructions only — works with most agents
Similar skills
133 similar skills found
Also with subscription

Installation

A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.

Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.

Install the “agent-reach” skill from mozgi.io (https://mozgi.io/skills/agent-reach/) for me.

1. Download the archive: https://mozgi.io/skills/agent-reach/download
   If it fails, take the skill folder from the source: https://github.com/Panniantong/Agent-Reach/tree/main/agent_reach/skill
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “agent-reach” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/agent-reach/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

Review the source files

8 files Download Zip

Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.

SKILL.md contents

Original author text · read-only

Agent Reach — 互联网能力路由器

15 平台、多后端。本 skill 存在时必须用它访问这些平台,不要自己发明方案。

常驻规则(全程适用)

1. 动手前先体检:多后端/登录态平台(小红书/Reddit/B站/Twitter/Facebook/Instagram)先跑

agent-reach doctor --json。active_backend 有值时按它选命令组;active_backend: null

表示 Doctor 为避免触发浏览器 Cookie 读取或远端写入而没有做实时验证,不代表后端不存在。

只有用户任务明确需要该平台时,才按对应 reference 的只读命令手动验证。

2. 声明你在用什么:开始干活前说一句「使用 agent-reach 的 X 平台 / Y 后端」。

3. 失败按 references 里的重试链处理,不要瞎猜命令。

4. 全网调研类任务:组合多平台(Exa 搜索 + Twitter/Reddit 看讨论 + 小红书/B站看中文场景),并行收集再汇总。

5. 替用户盯版本:完成一次较大的调研/多平台任务后,顺手跑

agent-reach check-update(很快,一个 API 调用)。有新版就在收尾汇报里附一句:

「Agent Reach 有新版 vX.Y.Z,复制这句话给我即可更新:帮我更新 Agent Reach:

https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/update.md」。

不要中断当前任务去更新,也不要重复提醒同一个版本。

路由表

| 用户意图 | 分类 | 详细文档 |

|---------|------|---------|

| 网页搜索/代码搜索 | search | references/search.md ↗ |

| 小红书/推特/B站/V2EX/Reddit/Facebook/Instagram | social | references/social.md ↗ |

| 招聘/职位/LinkedIn | career | references/career.md ↗ |

| GitHub/代码 | dev | references/dev.md ↗ |

| 网页/文章/RSS | web | references/web.md ↗ |

| YouTube/B站/播客字幕 | video | references/video.md ↗ |

| 雪球/股票行情 | finance | references/finance.md ↗ |

零配置快速命令

# Exa 网页搜索
mcporter call exa.web_search_exa query="query" numResults=5

# 通用网页阅读
curl -s "https://r.jina.ai/URL"

# GitHub 搜索
gh search repos "query" --sort stars --limit 10

# YouTube 字幕(注意:B站不要用 yt-dlp,失败重试链见 video.md)
yt-dlp --write-sub --write-auto-sub --skip-download -o "/tmp/%(id)s" "URL"

# V2EX 热门
curl -s "https://www.v2ex.com/api/topics/hot.json" -H "User-Agent: agent-reach/1.0"

# B站搜索(bili-cli,无需登录)
bili search "query" --type video -n 5

需登录态的平台(按 doctor 的 active_backend 选命令)

Twitter 注意:agent-reach configure twitter-cookies 保存的 Cookie 只供

doctor 检查配置是否齐全;doctor 不执行 twitter status,也不会设置当前

Shell。直接运行 twitter 前,必须在子进程环境中显式提供

TWITTER_AUTH_TOKEN 和 TWITTER_CT0,不得在日志或命令回显中暴露值。

小红书注意:Agent Reach 不替用户登录,也不读取浏览器 Cookie。OpenCLI 只用

用户已有且明确控制的 Chrome 会话;没有现成会话时不要自动登录,改用

Cookie-Editor 手工导出后配置 xiaohongshu-mcp / 存量工具。

# Twitter 搜索(twitter-cli 首选;失败重试链见 social.md)
twitter search "query" -n 10

# Reddit(无零配置路径:OpenCLI 或 rdt-cli,必须登录态)
opencli reddit search "query" -f yaml   # 桌面
rdt search "query" --limit 10            # 存量/服务器

# 小红书(桌面首选 OpenCLI)
opencli xiaohongshu search "query" -f yaml

# Facebook / Instagram(桌面 OpenCLI,复用浏览器登录态)
opencli facebook search "query" -f yaml
opencli facebook groups -f yaml
opencli instagram search "query" -f yaml       # 搜用户
opencli instagram user USERNAME -f yaml        # 读指定用户最近帖子

环境检查

# 检查可用 channel 与每个平台当前激活的后端
agent-reach doctor --json

OpenCLI 适配器发现

路由表没有覆盖用户需要的平台或命令时,先用 opencli list 查已有适配器,再用

opencli <平台> --help 查看公开命令。发现适配器只证明命令存在,不证明登录态或

目标内容可用;仅在用户任务明确需要该平台时执行只读命令,并以实际非空内容验收。

工作区规则

不要在 agent workspace 创建文件。 使用 /tmp/ 存放临时输出,~/.agent-reach/ 存放持久数据。

详细文档

根据用户需求,阅读对应的详细文档:

配置渠道

如果某个 channel 需要配置,获取安装指南:

https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md

用户只需提供 cookies,其他配置由 agent 完成。

Frequently asked questions

What does the agent-reach skill do?

This skill is designed for searching and researching information on the internet, as well as accessing various platforms and websites.

How do I install agent-reach?

Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.

Which AI models work with agent-reach?

Skills are plain Markdown instructions (the Agent Skills format), so agent-reach works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.

Is agent-reach free?

The skill is published openly by Panniantong under the MIT license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.

Is it safe to install skills?

A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.

How is a skill different from an MCP server or a plugin?

An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.

Related skills

All skills →