agent-reach

agent-reach is a skill for Claude Code, Codex from Panniantong/Agent-Reach. It costs 349 tokens per session (1,883 once invoked), scanned A, original, MIT.

An internet-search and platform-access router for finding information across websites and services such as Reddit, X, GitHub, YouTube, and job sites.

In plain words
What is it for?
Use it to search the web, inspect discussions and posts, find code on GitHub, look up jobs, retrieve video or podcast transcripts, and check stock information.
Why use it?
It helps choose an available way to collect information from the particular website or platform being researched.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

About the project

Agent Reach is a command-line tool that gives AI agents ways to search and read content across internet platforms such as Twitter, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu. It is for people who want their coding agents to research online content without separately configuring each platform. The catalogue instruction and skill help agents install, inspect, and use these internet-access capabilities.

Panniantong/Agent-Reach · 78,042 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/panniantong/agent-reach/skill
Any agent
npx skills add Panniantong/Agent-Reach --skill skill
Clone the repo
git clone --depth 1 https://github.com/Panniantong/Agent-Reach

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-reach

README.md
[![agentmods](https://agentmods.dev/badge/skills/panniantong/agent-reach/skill.svg)](https://agentmods.dev/skills/panniantong/agent-reach/skill)
Your own site
<a href="https://agentmods.dev/skills/panniantong/agent-reach/skill"><img src="https://agentmods.dev/badge/skills/panniantong/agent-reach/skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 349 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,883 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00349 $0.01883
Opus 5 $0.00175 $0.00941
Sonnet 5 $0.00070 $0.00377
Haiku 4.5 $0.00035 $0.00188

Measured 6d ago against content hash 621796ede32b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

agent-reach scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://r.jina.ai/URL"
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

agent_reach/skill/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 --jsonactive_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_TOKENTWITTER_CT0,不得在日志或命令回显中暴露值。

Read the full file on GitHub · 143 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 143 lines · 349 tokens per session scan A 621796ede32b

Subscribe to this mod's changes

agent-reach is a skill published in the GitHub repository Panniantong/Agent-Reach (78,042 stars, last pushed 4d ago), licensed MIT. It adds 349 tokens to every session and 1,883 once invoked, about $0.0017 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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