Tsearch Web Search
/install linkfox-tsearch-web-search
Web Search & Online Retrieval
This skill performs web searches and automatically extracts content from the results. It returns unstructured content ready for direct summarization — no sandbox analysis is needed.
Core Concepts
This tool acts as an intelligent web search engine that both searches and extracts page content in a single call. When you use this tool, it automatically:
- Performs a web search using the provided keyword
- Extracts and returns content from the top results
Important: Because content extraction is built-in, there is no need to separately call a browser/web-extract tool after using this search. The returned content is unstructured text — summarize it directly rather than attempting structured data analysis.
Response Data Fields
| Field | Description | Type | Example |
|---|---|---|---|
| searchList | Array of search results | array | (see below) |
| searchList[].score | Relevance score of the result | number | 0.95 |
| searchList[].title | Page title of the result | string | "Best wireless chargers 2026" |
| searchList[].url | URL of the source page | string | "https://example.com/article" |
| searchList[].content | Extracted page content | string | "Full text of the article..." |
| costToken | Tokens consumed by this request | integer | 1500 |
Parameter Guide
This tool accepts a single parameter:
| Parameter | Type | Required | Max Length | Description |
|---|---|---|---|---|
| keyword | string | Yes | 1000 chars | The search query keyword(s) |
Tips for Effective Keywords
- Be specific: "best budget wireless earbuds 2026" works better than "earbuds"
- Use natural language or key phrases: Both "what is the capital of France" and "capital France" are valid
- Include context when needed: Add qualifiers like year, region, or domain to narrow results
- Combine terms for precision: "iPhone 16 Pro Max battery life review" targets more relevant pages than "iPhone battery"
- Use English or the target language: Match the language to the content you want to find
Keyword Examples by Scenario
Current events / News
latest AI regulation policy 2026
Product research
best robot vacuum cleaner under $300 Reddit
Technical lookup
Python asyncio tutorial beginner guide
Community discussions / Reddit
Reddit best budget mechanical keyboard 2026
Trending topics
trending topics on social media this week
Fact checking / Real-time data
current Bitcoin price USD
Competitor or brand research
Anker vs Baseus portable charger comparison
Display Rules
- Summarize directly: The returned content is unstructured text. Provide a clear, concise summary rather than dumping raw content.
- Cite sources: Always include the title and URL of each result so the user can verify information.
- Present multiple perspectives: When results contain diverse viewpoints, present them fairly.
- Indicate freshness: Note when information appears to be very recent or potentially outdated.
- Handle empty results: If the search returns no results or irrelevant content, suggest refining the keyword and offer alternative search terms.
- No sandbox analysis: Never route the output to a data analysis sandbox. Summarize inline.
Important Limitations
- Unstructured output: Results are free-form text, not structured data tables. Do not attempt SQL-like processing.
- No persistent storage: Search results are not saved to any database for later querying.
- Single keyword input: The tool takes one keyword string per call. For multi-faceted research, make multiple calls with different keywords.
- Content extraction included: Do not call a separate web-extract tool on these results — extraction is already done.
User Expression & Scenario Quick Reference
Applicable — Any task requiring live web information:
| User Says | Scenario |
|---|---|
| "Search for...", "Look up...", "Google..." | Direct web search |
| "What's the latest news on..." | Current events lookup |
| "Find information about..." | General information retrieval |
| "What are people saying about... on Reddit" | Community discussion research |
| "What's trending right now" | Trending topic discovery |
| "Check the current price of..." | Real-time data lookup |
| "Find reviews for..." | Product/service review search |
| "What happened with... today" | Breaking news / recent events |
| "Research competitors for..." | Competitive intelligence via web |
| "External site posts about...", "Hot threads on..." | Forum and community content |
Not applicable — Tasks that don't need web search:
- Querying internal databases or structured datasets (use appropriate data query tools)
- Analyzing files the user has already uploaded locally
- Performing calculations or data transformations on existing data
- Generating creative content without needing external references
- Tasks involving Amazon ABA data (use the ABA data explorer instead)
Boundary judgment: When users say "find out about" or "research", if they need current, external web information, this skill applies. If they are referring to internal data, historical databases, or local file analysis, it does not apply.
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install linkfox-tsearch-web-search - 安装完成后,直接呼叫该 Skill 的名称或使用
/linkfox-tsearch-web-search触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Tsearch Web Search 是什么?
网络搜索、在线检索、实时信息查询、搜索引擎搜索、Reddit等社区平台讨论、外部站点帖子和热门话题。当用户需要搜索网络上的最新信息、查找近期新闻或趋势、查询实时数据、通过搜索引擎调研话题、浏览Reddit或社区讨论、发现外部站点帖子和热门话题、获取任何在线内容、web search, online lookup,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 93 次。
如何安装 Tsearch Web Search?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkfox-tsearch-web-search」即可一键安装,无需额外配置。
Tsearch Web Search 是免费的吗?
是的,Tsearch Web Search 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Tsearch Web Search 支持哪些平台?
Tsearch Web Search 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Tsearch Web Search?
由 linkfox-ai(@linkfox-ai)开发并维护,当前版本 v1.0.0。