A setup and access skill that connects an AI agent to information from websites and platforms such as Reddit, YouTube, GitHub, RSS feeds, and Twitter/X.

Use it to install and check internet-access tools, configure supported channels, retrieve web content, and diagnose connection status.

It helps an agent retrieve online content and shows which connections are working, missing, or need human setup.

agent-reach — Skill for Claude Code and Codex by zrtch

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.

Any agent

npx skills add zrtch/awesome-skills --skill agent-reach

Clone the repo

git clone --depth 1 https://github.com/zrtch/awesome-skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zrtch/awesome-skills/agent-reach/github.svg)](https://agentmods.dev/skills/zrtch/awesome-skills/agent-reach)

Your own site

<a href="https://agentmods.dev/skills/zrtch/awesome-skills/agent-reach"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/agent-reach/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zrtch/awesome-skills/agent-reach"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/agent-reach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 135 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,311 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00135	$0.02311
Opus 5	$0.00068	$0.01156
Sonnet 5	$0.00027	$0.00462
Haiku 4.5	$0.00014	$0.00231

Measured 9d ago against content hash 91095be7087b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 9d 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://www.reddit.com/r/python/hot.json?limit=10" -H "User-Agent: agent-reach/1.0"

Origin

This is a copy

100% identical to agent-reach — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/agent-reach/SKILL.md · 270 lines

How it starts

The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Reach

Install and configure upstream tools for 12+ platforms. After setup, call them directly — no wrapper layer.

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 ("帮我配 XXX")

When a user asks to configure/enable any channel:

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

用户在自己的浏览器登录对应平台
安装 Cookie-Editor Chrome 插件
点击插件 → Export → Header String
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. No need for agent-reach read or agent-reach search.

Read the full file on GitHub · 270 lines

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.

9d ago First seen · 270 lines · 135 tokens per session scan A 91095be7087b

Subscribe to this mod's changes

agent-reach is a skill published in the GitHub repository zrtch/awesome-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 135 tokens to every session and 2,311 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to agent-reach, differing in 0 lines, and is treated as a copy.

Research

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