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.
npx skills add leecyno1/boutique-skills --skill agent-reachgit clone --depth 1 https://github.com/leecyno1/boutique-skillsWrote 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.
[](https://agentmods.dev/skills/leecyno1/boutique-skills/agent-reach)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/agent-reach"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-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.
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/agent-reach"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/agent-reach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00349 | $0.01883 |
| Opus 5 | $0.00175 | $0.00941 |
| Sonnet 5 | $0.00070 | $0.00377 |
| Haiku 4.5 | $0.00035 | $0.00188 |
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 11d 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" 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.
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）
- 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。 - 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」。
- 失败按 references 里的重试链处理，不要瞎猜命令。
- 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。
- 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。
What ships with it
9 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.
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.
- 11d ago First seen · 143 lines · 349 tokens per session scan A 621796ede32b
agent-reach is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed 20d 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). It is 100% identical to agent-reach, differing in 0 lines, and is treated as a copy.
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