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web-search-tavilyWeb 搜索 Tavily

Agent Skill

web-search-tavily 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

23,520

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下载量

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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

3

许可证

MIT

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:web-search-tavily(Web 搜索 Tavily)
来源仓库:https://github.com/jwynia/agent-skills
仓库路径:skills/web-search-tavily
安装命令:
npx skills add https://github.com/jwynia/agent-skills --skill web-search-tavily
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jwynia/agent-skills --skill web-search-tavily

简介

通过 Tavily API 进行 Web 搜索,提供 AI 优化结果、相关性评分和高级过滤。

  • 支持三种主题类型(一般、新闻、财经)和两种搜索深度(基本、高级)以及可选的人工智能生成的答案摘要
  • 包括域过滤以包含或排除特定站点、时间范围过滤(日、周、月、年)以及可配置的结果计数
  • 返回带有相关性分数、发布日期和可选原始页面内容的结构化结果;支持人类可读和 JSON 输出格式
  • 需要 TAVILY_API_KEY 环境变量和互联网访问;费率限制根据您的 Tavily 计划而适用

SKILL.md

Web Search (Tavily API)

Search the web using Tavily's AI-optimized search API. Returns high-quality, structured results with relevance scores and optional AI-generated summaries.

Note: This skill requires a Tavily API key. For basic web search using the agent's built-in capability, see web-search.

When to Use This Skill

Use this skill when:

  • You need to find current information not in your training data
  • The user asks about recent events, news, or updates
  • You need to verify facts or find authoritative sources
  • Research requires real-time web data
  • Keywords mentioned: search, look up, find online, current, latest, news

Do NOT use this skill when:

  • Information is already in your knowledge base and doesn't need verification
  • The user asks about historical facts that don't change
  • You're working with local files or code (use other tools)
  • A more specific skill exists for the task (e.g., documentation lookup)

Prerequisites

Before using this skill, ensure:

  • TAVILY_API_KEY environment variable is set with a valid API key
  • Deno is installed (for running the search script)
  • Internet access is available

Get a Tavily API key at: https://tavily.com

Quick Start

Run a simple search:

deno run --allow-env --allow-net=api.tavily.com scripts/search.ts "your search query"

Example with AI-generated answer:

deno run --allow-env --allow-net=api.tavily.com scripts/search.ts "React 19 new features" --answer

Script Usage

deno run --allow-env --allow-net=api.tavily.com scripts/search.ts [options] "query"

Options

OptionDescriptionDefault
--answerInclude AI-generated answer summaryfalse
--depth <level>Search depth: basic or advancedbasic
--results <n>Number of results to return5
--topic <type>Topic type: general, news, or financegeneral
--time <range>Time filter: day, week, month, or yearnone
--include <domains>Only include these domains (comma-separated)none
--exclude <domains>Exclude these domains (comma-separated)none
--rawInclude raw page content in resultsfalse
--jsonOutput as JSON (for programmatic use)false
--helpShow help message-

Search Parameters

Topic Types

  • general (default): Broad web search across all content types
  • news: Prioritizes news articles and current events
  • finance: Focuses on financial information and market data

Search Depth

  • basic (default): Fast search, good for most queries
  • advanced: Deeper search with more comprehensive results (slower, higher API cost)

Time Range

Filter results by recency:

  • day: Last 24 hours
  • week: Last 7 days
  • month: Last 30 days
  • year: Last 365 days

Domain Filtering

Control which sites appear in results:

# Only search documentation sites
scripts/search.ts "React hooks" --include docs.react.dev,developer.mozilla.org

# Exclude social media
scripts/search.ts "AI news" --exclude twitter.com,reddit.com

Output Format

Human-Readable Output (default)

🔍 Search: "React 19 new features"

Found 5 results in 234ms

📝 AI Answer:
────────────────────────────────────────────────────────────
React 19 introduces several new features including...
────────────────────────────────────────────────────────────

1. React 19 Release Notes
   https://react.dev/blog/2024/04/25/react-19
   React 19 is now available on npm! This release includes...
   Score: 0.987

2. What's New in React 19
   https://example.com/react-19-features
   A comprehensive overview of React 19's new features...
   Score: 0.945

JSON Output (--json)

{
  "query": "React 19 new features",
  "results": [
    {
      "title": "React 19 Release Notes",
      "url": "https://react.dev/blog/2024/04/25/react-19",
      "content": "React 19 is now available on npm...",
      "score": 0.987,
      "published_date": "2024-04-25"
    }
  ],
  "answer": "React 19 introduces several new features...",
  "response_time": 234
}

Result Fields

FieldTypeDescription
titlestringPage title
urlstringSource URL
contentstringRelevant excerpt from the page
scorenumberRelevance score (0-1, higher is better)
published_datestringPublication date (if available)
raw_contentstringFull page content (only with --raw)

Examples

Example 1: Current Events Search

Scenario: Find recent news about a technology topic

scripts/search.ts "OpenAI GPT-5 announcement" --topic news --time week --answer

Expected output: Recent news articles about GPT-5, with an AI-generated summary

Example 2: Documentation Lookup

Scenario: Find specific technical documentation

scripts/search.ts "Deno deploy edge functions tutorial" --depth advanced --results 10

Expected output: Comprehensive results from documentation and tutorial sites

Example 3: Fact Verification

Scenario: Verify a specific claim or statistic

scripts/search.ts "world population 2024" --include un.org,worldbank.org,census.gov --json

Expected output: JSON results from authoritative sources for programmatic verification

Example 4: Financial Research

Scenario: Research market information

scripts/search.ts "NVIDIA stock analysis 2024" --topic finance --answer

Expected output: Financial analysis and market data with AI summary

Common Issues and Solutions

Issue: "TAVILY_API_KEY environment variable is not set"

Symptoms: Script exits immediately with API key error

Solution:

  1. Get an API key from https://tavily.com
  2. Set the environment variable: export TAVILY_API_KEY="your-api-key-here"
  3. Or run with the variable inline: TAVILY_API_KEY="your-key" deno run --allow-env --allow-net=api.tavily.com scripts/search.ts "query"

Issue: "Invalid Tavily API key"

Symptoms: 401 authentication error

Solution:

  1. Verify your API key is correct (no extra spaces)
  2. Check if your API key has expired
  3. Verify your Tavily account is active

Issue: "Tavily API rate limit exceeded"

Symptoms: 429 error response

Solution:

  1. Wait a moment and retry
  2. Reduce request frequency
  3. Consider upgrading your Tavily plan for higher limits

Issue: No results returned

Symptoms: Empty results array

Solution:

  1. Try broader search terms
  2. Remove domain filters that might be too restrictive
  3. Check if the topic exists online
  4. Try --depth advanced for harder queries

Limitations

This skill has the following limitations:

  • Requires active internet connection
  • API rate limits apply based on your Tavily plan
  • Results depend on Tavily's index coverage
  • Cannot access paywalled or login-required content
  • Real-time accuracy depends on Tavily's crawling frequency
  • Maximum query length and result count have API limits

Related Skills

  • research-workflow: For comprehensive research projects that use multiple searches with planning and synthesis

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

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3.52%
按下载量换算290

安全审计

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可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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