文库助手

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

Control Browser Orchestrator as a headed Browser Node for MCP Relay, including relay pairing, authenticated worker connection, manual login-safe browser work, local MCP fallback, page navigation, screenshots, and configured extension capture.

一句话选型结论

按资料字段整理

文库助手是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install yahuixun/library-assistant
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方yahuixun仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 enterprise
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791737499
正文体量7.2 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
文库助手当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

7.2 KB
模型实际读到的说明书原文,来自技能仓库

Browser Orchestrator Control

Publication package: browser-orchestrator-control-0.2.3.zip

Overview

Use this skill to operate Browser Orchestrator as a headed Browser Node behind MCP Relay. Browser Orchestrator pairs with Relay using a short-lived pairing token, stores issued node credentials locally, then keeps an outbound authenticated worker WebSocket open for assigned browser tasks.

The headed browser stays local. Login, MFA, CAPTCHA, and sensitive verification steps remain manual.

Connection

Token types:

  • MCP_RELAY_PAIRING_TOKEN: short-lived token used only to pair this Browser Node through POST /api/nodes/pair.
  • node_secret: issued by pairing and stored in .local/relay-node.json; used only by the Browser Node worker WebSocket.
  • MCP_RELAY_MCP_TOKEN: bearer token used by desktop Agents or @tpxipsterliu/mcp-connect to call the MCP Relay Streamable HTTP MCP endpoint at /mcp.

Token source:

  • The Relay operator sets MCP_RELAY_MCP_TOKEN on the MCP Relay server before starting npm.cmd run mcp:http.
  • The Relay operator sets or issues MCP_RELAY_PAIRING_TOKEN for Browser Node pairing before starting the worker-channel server.
  • The current MCP Relay console does not mint MCP API tokens. If no MCP_RELAY_MCP_TOKEN was configured on the relay server, there is no MCP auth token to use yet.

Installation model:

  • Install this Skill on the desktop Agent machine that will talk to MCP Relay or control a local Browser Orchestrator MCP fallback.
  • Run Browser Orchestrator itself on the headed Browser Node workstation where the real browser, profile, extension, and manual login happen.
  • If the desktop Agent and Browser Node are different machines, the Agent should use the mcpRelay connector. Do not expect local Browser Orchestrator commands to work on the Agent machine unless Browser Orchestrator is also installed there.
  • Keep pairing and worker startup on the Browser Node workstation; keep MCP Relay /mcp connector setup on the Agent machine.

Preferred Relay mode:

$env:MCP_RELAY_URL = "https://mcp-relay.cloudplus.im"
$env:MCP_RELAY_WS_URL = "wss://mcp-relay.cloudplus.im/ws/nodes"
$env:MCP_RELAY_PAIRING_TOKEN = "replace-with-one-time-token"
npm.cmd run relay:pair
npm.cmd run relay:worker

The pairing command writes .local/relay-node.json by default. Do not ask the user to paste the issued node_secret into chat. After pairing, start the worker with npm.cmd run relay:worker; it sends node.hello, heartbeats, task progress, logs, completion, and failure events to Relay.

Electron debug console mode:

  1. Open the MCP Relay Worker panel.
  2. Fill Relay URL, Worker WS, Pairing Token, credentials path, node metadata, capacity, capabilities, and optional capture selector.
  3. Click Pair Relay.
  4. Click Start Relay after pairing.

MCP Relay connector mode for desktop Agents:

Use @tpxipsterliu/mcp-connect only for connecting a desktop Agent to a remote Streamable HTTP MCP Relay endpoint, not for Browser Node worker login.
The token for this mode must be the Relay MCP auth token configured on the relay server as MCP_RELAY_MCP_TOKEN; do not use MCP_RELAY_PAIRING_TOKEN or the saved Browser Node node_secret here.

npx @tpxipsterliu/mcp-connect init
npx @tpxipsterliu/mcp-connect create mcpRelay `
  --url https://mcp-relay.cloudplus.im/mcp `
  --env-header Authorization=MCP_RELAY_MCP_AUTH_HEADER
$env:MCP_RELAY_MCP_AUTH_HEADER = "Bearer <MCP_RELAY_MCP_TOKEN>"
npx @tpxipsterliu/mcp-connect doctor mcpRelay

Do not use https://mcp-relay.cloudplus.im/api/mcp; /api/* belongs to the Web Console and worker REST API namespace.

If a desktop MCP connector opens a browser authentication window for https://mcp-relay.cloudplus.im/mcp, the Relay Web service may redirect the user to employee login and then to /mcp/auth. That confirms the Web session is ready for same-origin connector flows. Connectors that do not preserve the Web session cookie should still use the explicit Authorization: Bearer <MCP_RELAY_MCP_TOKEN> header through mcp-connect.

Desktop agents can launch the connector with:

npx @tpxipsterliu/mcp-connect run mcpRelay

Local Browser Orchestrator MCP fallback:

Development command:

npm.cmd run mcp

Built command after npm.cmd run build:

node dist/mcp/server.js

Packaged command:

browser-orchestrator-mcp

Workflow

  1. Prefer Relay mode when the user wants this machine to receive tasks from MCP Relay.
  2. Pair once with a short-lived MCP_RELAY_PAIRING_TOKEN; store credentials under .local/relay-node.json.
  3. Start the Relay Worker and confirm it reports connected.
  4. For assigned tasks, navigate only to explicit HTTP(S) target boundaries and keep the browser headed.
  5. If login, MFA, CAPTCHA, or manual setup is needed, ask the user to complete it in the browser before continuing.
  6. Use local MCP tools directly only for debugging or when the user asks for local browser control instead of Relay task routing.
  7. Call page_screenshot or Relay screenshot behavior when visual evidence or debugging is useful.
  8. Use the configured capture selector for extension capture; otherwise leave the headed browser inspectable and request manual capture.

Tools

Relay commands:

  • relay:pair: pair this Browser Node with MCP Relay using MCP_RELAY_PAIRING_TOKEN.
  • relay:worker: maintain the authenticated worker WebSocket to MCP Relay.

Local MCP tools:

  • browser_start: start the headed browser with persistent profile and default extension path.
  • browser_status: report session, run directory, URL, and extension availability.
  • browser_stop: close the active browser session.
  • page_goto: navigate to a URL.
  • page_snapshot: return structured page state and visible body text.
  • page_click: click an element by Playwright selector.
  • page_fill: fill an input-like element by Playwright selector.
  • page_wait: wait by time or selector.
  • page_screenshot: save a screenshot into the active run directory.
  • capture_trigger: trigger the scraping extension through a known selector or ask for manual capture.

Safety Rules

  • Keep login, MFA, CAPTCHA, and verification steps manual.
  • Do not ask the user for passwords or secret tokens in chat.
  • Do not print or commit .local/relay-node.json, node secrets, pairing tokens, cookies, or browser profiles.
  • Do not bypass site access controls.
  • Ask for confirmation before destructive, paid, account-changing, or high-volume actions.
  • Keep scraping targets explicit and user-approved.
  • Use the extension capture path instead of inventing a separate scraper unless the user explicitly requests otherwise.

Capture Behavior

If capture_trigger returns mode: "manual_required", tell the user to click the extension capture button in the headed browser. Continue only after the user confirms capture finished.

If the extension injects a page button and the selector is known, call capture_trigger with selector.

常见问题

5 问
答案由本站依据条目字段整理
文库助手怎么安装?

在支持 Skills 的客户端里执行:skillhub install yahuixun/library-assistant。安装方式为未标注。装完刷新技能列表或重开客户端。

文库助手支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

文库助手权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

文库助手收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

文库助手用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。