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webmcpwebmcp 网页抓取

Agent Skill

webmcp 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,860

周安装

76

GitHub Stars

27

下载量

602
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:webmcp(webmcp 网页抓取)
来源仓库:https://github.com/webmaxru/agent-skills
仓库路径:skills/webmcp
安装命令:
npx skills add https://github.com/webmaxru/agent-skills --skill webmcp
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/webmaxru/agent-skills --skill webmcp

简介

用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • webmcp 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

WebMCP

Procedures

Step 1: Identify the browser integration surface

  1. Inspect the workspace for browser entry points, UI handlers, and any existing app state or form handling layer.
  2. Execute node scripts/find-webmcp-targets.mjs. to inventory likely frontend files and existing WebMCP markers when a Node runtime is available.
  3. If a Node runtime is unavailable, inspect the nearest package.json, HTML entry point, and framework bootstrap files manually to identify the browser app boundary.
  4. If the workspace contains multiple frontend apps, prefer the app that contains the active route, component, or user-requested feature surface.
  5. If the inventory still leaves multiple plausible frontend targets, stop and ask the user which app should receive the WebMCP integration.
  6. If the project is not a browser web app, stop and explain that this skill does not apply.

Step 2: Choose the WebMCP shape

  1. Read references/webmcp-reference.md before writing code.
  2. Read references/declarative-api.md when the feature can be expressed as an HTML form flow or needs agent-invoked submit handling.
  3. Read references/compatibility.md when native availability, Chrome preview setup, or draft-versus-preview behavior matters.
  4. Read references/troubleshooting.md when registration, schema serialization, or agent-driven form execution fails.
  5. Verify that the integration runs in a secure window browsing context.
  6. If the feature must run on the server, in a worker, or headlessly without a visible browsing context, stop and explain the platform limitation.
  7. Choose the imperative API when the tool wraps existing JavaScript logic, requires dynamic registration, or needs ModelContextClient.requestUserInteraction().
  8. Choose the declarative API when the user flow already maps cleanly to a form submission and the page can keep the human-visible form in sync with agent activity.
  9. Keep tool names, descriptions, and parameters explicit and positive, and prefer atomic tools over overlapping variants.

Step 3: Implement tool registration

  1. Read assets/model-context-registry.template.ts and adapt it to the framework, state model, and file layout in the workspace when using the imperative API.
  2. Register imperative tools with navigator.modelContext.registerTool() using a stable name, a positive description, an object inputSchema, and an execute callback.
  3. Set annotations.readOnlyHint to true only for tools that do not modify state.
  4. Validate business rules inside the tool implementation even when the schema is strict, and return descriptive errors that help the agent retry with corrected input.
  5. Return tool results only after the UI and application state reflect the tool's effect.
  6. If tool availability depends on route, selection, or page state, register tools only while they are valid and unregister stale tools by aborting the AbortController whose signal was passed to registerTool(); during the Chrome 148 transition window, also call navigator.modelContext.unregisterTool?.() with optional chaining before aborting.
  7. For declarative tools, annotate the target <form> with toolname and tooldescription, and let form controls define the parameter surface.
  8. Use labels or toolparamdescription to produce clear parameter descriptions for declarative fields.
  9. Use toolautosubmit only when the page should submit automatically after the agent populates the form.

Step 4: Wire agent-driven UX safely

  1. Preserve the normal human interaction path even when the page supports agent invocation.
  2. When an imperative tool needs explicit confirmation or a user-facing step, call client.requestUserInteraction() instead of bypassing the UI.
  3. When customizing declarative submit handling, call preventDefault() before respondWith() and return structured validation errors for agent-invoked submits.
  4. Use preview-only events such as toolactivated, toolcancel, agentInvoked, and WebMCP form pseudo-classes only behind compatibility-aware UI logic.
  5. Keep destructive or sensitive actions gated behind visible user confirmation, even if the agent can prepare the input.
  6. Keep UI state synchronized so the same page accurately reflects changes caused by human input and tool calls.

Step 5: Validate behavior

  1. Test the register and unregister lifecycle, including duplicate-name protection and cleanup on route or state changes.
  2. Test invalid or incomplete inputs to confirm the tool returns corrective errors instead of silently failing.
  3. For declarative tools, verify generated parameter descriptions, required fields, submit behavior, and any custom respondWith() handling.
  4. If the target environment is the current Chrome preview, confirm the required version and flag state from references/compatibility.md before treating runtime failures as application bugs.
  5. Use the Model Context Tool Inspector or equivalent preview tooling only as a validation aid, not as a runtime dependency.
  6. Validate deterministic execution first by inspecting the registered tool set and manually invoking the tool with representative arguments when preview tooling is available.
  7. After deterministic execution is correct, validate natural-language routing so descriptions and parameter shapes guide the agent toward the correct tool.
  8. Run the workspace build, typecheck, or tests after editing.

Error Handling

  • If navigator.modelContext is missing, confirm the code is running in a secure browser window context and then check the preview requirements in references/compatibility.md.
  • If registerTool() throws InvalidStateError, check for duplicate names or empty name or description values.
  • If registerTool() throws TypeError or JSON serialization errors, replace non-serializable or circular inputSchema values with plain JSON-compatible objects.
  • If an older demo or article references provideContext, clearContext, or toolparamtitle, treat those surfaces as obsolete for current implementations.
  • If declarative execution does not update the page correctly, read references/declarative-api.md and references/troubleshooting.md before changing the tool contract.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

40.53%
按下载量换算244

Claude

30.1%
按下载量换算181

Cursor

17.86%
按下载量换算108

Gemini CLI

8.94%
按下载量换算54

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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