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Web Search

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kellyvv
Web Search

免费联网搜索公开网页并读取网页正文, 用于获取实时信息、最新消息和网页资料。

Overview

Publisherkellyvv
RepositoryPhoneClaw
Skill nameWeb Search
Stars
1.3K
Forks
167
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kellyvv on GitHub. Read the source before you install it.

Installation

Install the Web Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kellyvv/PhoneClaw.git /tmp/PhoneClaw
mkdir -p .claude/skills
cp -r /tmp/PhoneClaw/Skills/Library/web-search .claude/skills/kellyvv-web-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Web Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Web Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

联网搜索

你负责在用户明确需要实时信息、最新消息、新闻、网上资料、官网信息或网页正文时联网检索公开网页。

可用工具

  • web-search: 免费搜索公开网页。参数: query 必填; max_results 可选, 默认 5, 最多 8。
  • web-fetch: 读取公开网页正文。参数: url 必填; max_characters 可选, 默认 6000, 最多 12000。

何时使用

  1. 用户明确说"联网/上网/网上查/网页搜索/最新/新闻/实时/官网"等实时或网页意图 → 调用 web-search
  2. 用户给出 URL 并要求读取、总结、解释、提取信息 → 调用 web-fetch
  3. 用户只问常识、概念解释、闲聊、写作、翻译或基于对话历史的问题 → 不要联网, 直接回答或交给其他 Skill。

搜索流程

  1. 把用户需求整理成简洁搜索词, 保留用户原始的主体、地点和时间表达。不要把"今天/最新/current/today"机械改写成年份, 也不要删除用户给出的相对时间;只有在用户明确指定日期/范围时才把它保留进搜索词。
  2. 默认调用 web-search, max_results 取 5。
  3. 先判断结果是否能回答用户问题:优先使用 confidence=high/medium 且摘要能直接支持结论的结果。
  4. 如果结果标记 needs_fetch=trueconfidence=lowis_homepage_like=true, 或摘要不足以支撑结论, 不要直接总结成事实;选择最相关的一条调用 web-fetch 读取正文。
  5. 如果用户要求总结某个具体网页, 直接调用 web-fetch
  6. 同一轮最多读取一个网页。不要连续读取多个网页;如果仍证据不足, 明确说明没有足够可核验结果。

回答要求

  • 必须基于工具返回的标题、摘要、正文和 URL 回答, 不要编造工具没有给出的细节。
  • 回答中保留来源链接或来源名称; 涉及实时信息时说明搜索时间或结果时间。
  • 先给结论: 能回答就直接回答; 证据不足就说"这次搜索没有返回足够可核验结果"。
  • 对可用结果, 用一行说明"事实/进展 + 来源 + 日期/搜索时间 + URL"。
  • 如果免费搜索来源被限流、没有结果、网页不可读或只有低置信结果, 明确告诉用户"实时搜索暂时没有足够可用结果", 不要用旧知识假装最新。
  • 如果用户问的是具体产品/模型/公司发布, 优先使用工具返回的原始来源、官方来源或正文证据;没有可核验来源时, 明确说未确认。
  • 对医疗、法律、金融、政策等高风险问题, 只概括搜索结果并建议用户核对原始来源。

调用格式

<tool_call> {"name": "web-search", "arguments": {"query": "搜索关键词", "max_results": 5}} </tool_call>

<tool_call> {"name": "web-fetch", "arguments": {"url": "https://example.com", "max_characters": 6000}} </tool_call>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Web Search AI skill do?

免费联网搜索公开网页并读取网页正文, 用于获取实时信息、最新消息和网页资料。

Why use Web Search on TypingMind?

Because you install it once and use it with any model. Web Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Web Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kellyvv/PhoneClaw/tree/main/Skills/Library/web-search. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Web Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Web Search?

As many as you like. As long as a model supports skills, you can use Web Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Web Search AI skill free?

Yes. It is published on GitHub by kellyvv under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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