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.
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 Panniantong/Agent-Reach --skill skillgit clone --depth 1 https://github.com/Panniantong/Agent-ReachWrote 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/panniantong/agent-reach/skill)<a href="https://agentmods.dev/skills/panniantong/agent-reach/skill"><img src="https://agentmods.dev/badge/skills/panniantong/agent-reach/skill/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/panniantong/agent-reach/skill"><img src="https://agentmods.dev/badge/skills/panniantong/agent-reach/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00197 | $0.01933 |
| Opus 5.5 | $0.00079 | $0.00773 |
| Sonnet 5.5 | $0.00039 | $0.00387 |
| Haiku 4.5 | $0.00020 | $0.00193 |
Grade A, and why
agent-reach scanned grade A with 0 findings 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-reach — 100% identical, 176 lines differ
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Reach
一个命令读所有平台：agent-reach。只读，默认输出一行 JSON。
动手前先说一句"用 agent-reach skill（X 渠道）"。本 skill 被调用后全程有效，以下规则一直适用。
选路
- 公开内容先用你自带的搜索/读取工具（可加
site:域名）。正文、评论、字幕分别核对是否已拿到；够了就直接回答，不装渠道、不登录。 - 自带工具不可用、结果缺了用户要的部分、或用户要的是渠道声明的站内动作时，再用 Reach。不确定有哪些动作和参数先跑
agent-reach channels。 - 渠道已经加上（默认渠道或
add过）时，搜索/阅读直接走该站工具；还没加的渠道，搜索/阅读先试免登录公开网页，结果里backend: public-web标明来源。--backend public-web只查公开网页；--backend <后端>指定站内工具。 - 平台名或链接只用来认出来源，不自动触发安装或登录。
- 摘要、页面壳、评论计数、字幕轨道列表不等于正文、评论或字幕本身，要分别说明。用户跳过登录时，已拿到的公开结果照样交付。
agent-reach channels # 每个渠道的动作和参数
agent-reach <渠道> <动作> [参数] # 例：agent-reach xiaohongshu search "咖啡" --limit 5
agent-reach read <链接> # 按链接自动选渠道
结果与错误
ok: true→ 内容在items，每条有title / url / author / published_at / text，原始数据在raw。ok: false→ 看error.code，照error.hint做：
| error.code | 怎么办 |
|---|---|
NEED_SETUP |
缺依赖或密钥。按提示 agent-reach add <渠道>；要密钥时请用户本人提供，再 agent-reach configure <key> |
NEED_LOGIN |
保留已有结果，告诉用户需要登录；agent-reach login <渠道> 打开浏览器，由用户本人登录，你绝不代登、不要密码 |
UPSTREAM_BROKEN |
这个平台暂时有问题，message 是出错时的原话。用平台名告诉用户哪个平台暂时用不了、大概是什么原因，不说工具名；原话说明工具过时，才在用户同意后跑一次 agent-reach update；不循环重试 |
TIMEOUT |
看失败阶段和渠道状态（agent-reach doctor --text）；不反复重试、不反复开窗 |
RATE_LIMITED |
平台限流，Reach 已暂停该渠道；按 retry_after_seconds 等，不换后端 |
PLATFORM_BLOCKED |
平台要求验证（验证码/风控）。停下，请用户在官方页面处理；不换账号、不换后端 |
BUSY |
排队等了 2 分钟浏览器仍然满，或用户正开着登录窗口。过一会儿、或等用户说登好了再试；不关窗口、不切换配置 |
NOT_FOUND |
内容不存在，核对链接或 ID |
BAD_INPUT |
参数不对，跑 agent-reach channels 看用法 |
遇到 PLATFORM_BLOCKED、RATE_LIMITED、NEED_LOGIN、BUSY 就停止本次尝试，不换账号、后端或浏览器反复请求。网络失败或某台机器的失败不能说成"平台必须登录"。
登录与专用浏览器
所有浏览器渠道共用一个专用浏览器（优先 CloakBrowser，装不上时用本机 Chrome），默认无头不弹窗，闲置 10 分钟自动关闭，下次调用自动重开。可以并行调用（包括子代理同时查）：同一平台最多同时 2 条，所有平台合计 4 条，多出来的自动排队；同一平台的两次搜索之间至少隔 10 秒。
第一次用某个网站时，如果用户的 Chrome 已连接 OpenCLI 扩展，程序会把该站登录自动复制一次到专用浏览器，之后一直复用；只复制该站，不动原浏览器。登录失效或没有可复制的来源时，才请用户本人 agent-reach login <渠道>。刷新、选来源、退出等细节见 会话与专用浏览器：用户要登录、退出、换账号，或遇到 NEED_LOGIN 时读它。
What ships with it
4 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.
- yesterday Changed · -61 lines · -160 tokens per session 86f6bd3d377f
- 17d ago Changed · -3 lines 0df9cd22ade1
- 1mo ago Changed · +26 lines · +8 tokens per session eff66a9ddd71
- 1mo ago First seen · 143 lines · 349 tokens per session scan A 621796ede32b
agent-reach is a skill published in the GitHub repository Panniantong/Agent-Reach (101,939 stars, last pushed today), licensed MIT. It adds 197 tokens to every session and 1,933 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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