技能详情(站内镜像,无评论)
许可证:MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本:v1.0.0
统计:⭐ 0 · 143 · 0 current installs · 0 all-time installs
⭐ 0
安装量(当前) 0
🛡 VirusTotal :良性 · OpenClaw :可疑
Package:343195246/mdgs-tavily-search-skill
安全扫描(ClawHub)
- VirusTotal :良性
- OpenClaw :可疑
OpenClaw 评估
The skill's code and docs legitimately implement a Tavily web-search/crawl client, but the package/registry metadata fail to declare the required API credential (TAVILY_API_KEY) and provenance details, which is an incoherence you should confirm before installing.
目的
Name, description, SKILL.md and scripts/tavily.js consistently implement a Tavily search/extract/crawl/map/research client — that capability matches the stated purpose. However, the registry metadata declares no required environment variables or primary credential while the README and the script both require a TAVILY_API_KEY. The missing declared credential in metadata is an inconsistency.
说明范围
SKILL.md and scripts only instruct the agent/user to call the Tavily API via the @tavily/core client, install that npm package, and set TAVILY_API_KEY. There are no instructions to read unrelated files, other env vars, or to send data to endpoints other than Tavily. The runtime script prints results to stdout (which may leak scraped content if run in shared environments).
安装机制
No install spec is included for the skill bundle itself (instruction-only), but package.json lists @tavily/core as a dependency and SKILL.md instructs npm install @tavily/core. This is a normal, low-risk npm dependency pattern. There are no downloads from arbitrary URLs or archive extraction steps in the skill files.
证书
The code and SKILL.md require a TAVILY_API_KEY to function — that credential is proportionate to a web-search/crawl integration. However, the skill metadata does not list any required env vars nor a primary credential. That mismatch is problematic because automated permission or disclosure checks will not surface the need for an API key; the user may be unaware that secrets will be used by the skill.
持久
The skill does not request always:true or other elevated platform privileges. It does not attempt to modify other skills or system-wide settings. It runs as a normal, user-invoked script or via the Tavily client.
安装(复制给龙虾 AI)
将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「mdgs-tavily-search-skill」。简介:使用 Tavily API 进行网络搜索、网页内容提取、抓取、映射和研究。当用户需要搜索信息、获取网页内容、从网站抓取数据、绘制网站地图或进行深度研究时使用此…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/343195246/mdgs-tavily-search-skill/SKILL.md
(来源:yingzhi8.cn 技能库)
SKILL.md
---
name: mdgs-tavily-search-skill
description: 使用 Tavily API 进行网络搜索、网页内容提取、抓取、映射和研究。当用户需要搜索信息、获取网页内容、从网站抓取数据、绘制网站地图或进行深度研究时使用此技能。AI 应根据任务自动选择最合适的模式。
---
# Mdgs Tavily Search Skill
使用 Tavily API 进行网络搜索和信息提取。
## 快速开始
### 前置要求
首先安装依赖:
```bash
npm install @tavily/core
```
设置 API Key:
```bash
export TAVILY_API_KEY="tvly-your-api-key"
```
### 初始化客户端
```javascript
const { tavily } = require("@tavily/core");
const apiKey = process.env.TAVILY_API_KEY;
if (!apiKey) {
throw new Error("请配置 TAVILY_API_KEY 环境变量。访问 https://tavily.com 获取 API Key");
}
const tvly = tavily({ apiKey });
```
## 模式选择指南
AI 应根据任务类型自动选择合适的模式:
| 任务类型 | 推荐模式 | 说明 |
|---------|---------|------|
| 快速问答、信息检索 | search | 获取搜索结果和答案 |
| 获取特定网页内容 | extract | 提取单个 URL 的主要内容 |
| 批量抓取网站内容 | crawl | 抓取整个网站或多个页面 |
| 了解网站结构 | map | 获取网站的页面地图 |
| 深度研究主题 | research | 综合多个来源的深度研究 |
## 模式详解
### 1. 搜索网页 (search)
适用于:快速问答、信息检索、新闻搜索
```javascript
const response = await tvly.search("Who is Leo Messi?");
console.log(response);
```
**选项:**
```javascript
const response = await tvly.search("Python 教程", {
searchDepth: "basic", // "basic" 或 "advanced"
maxResults: 10,
includeAnswer: true,
includeRawContent: false,
includeImages: false
});
```
### 2. 提取网页 (extract)
适用于:获取特定网页的详细内容
```javascript
const response = await tvly.extract("https://en.wikipedia.org/wiki/Artificial_intelligence");
console.log(response);
```
**选项:**
```javascript
const response = await tvly.extract("https://example.com", {
includeImages: true
});
```
### 3. 抓取网页 (crawl)
适用于:批量抓取网站内容、深度内容获取
```javascript
const response = await tvly.crawl("https://docs.tavily.com", {
instructions: "Find all pages on the Python SDK"
});
console.log(response);
```
**选项:**
```javascript
const response = await tvly.crawl("https://example.com", {
instructions: "提取所有产品页面",
maxDepth: 2,
maxPages: 10
});
```
### 4. 绘制网页映射 (map)
适用于:了解网站结构、发现相关页面
```javascript
const response = await tvly.map("https://docs.tavily.com");
console.log(response);
```
**选项:**
```javascript
const response = await tvly.map("https://example.com", {
depth: 2,
maxPages: 20
});
```
### 5. 创建研究任务 (research)
适用于:深度研究、综合多来源分析
```javascript
const response = await tvly.research("What are the latest developments in AI?");
console.log(response);
```
**选项:**
```javascript
const response = await tvly.research("最新 AI 发展动态", {
depth: "extensive", // "basic" 或 "extensive"
maxSources: 10
});
```
## 使用脚本
项目提供了封装好的脚本:
### 搜索
```bash
node scripts/tavily.js search "搜索内容" [--depth basic|advanced] [--max-results N]
```
### 提取
```bash
node scripts/tavily.js extract "https://example.com"
```
### 抓取
```bash
node scripts/tavily.js crawl "https://example.com" --instructions "提取所有页面"
```
### 映射
```bash
node scripts/tavily.js map "https://example.com" [--depth N]
```
### 研究
```bash
node scripts/tavily.js research "研究主题" [--depth basic|extensive]
```
## API Key 配置
**重要:** 使用此技能前必须配置 API Key。
1. 访问 [tavily.com](https://tavily.com) 注册账号
2. 获取 API Key
3. 设置环境变量:
```bash
export TAVILY_API_KEY="tvly-your-actual-api-key"
```
或在脚本/代码中直接传入:
```javascript
const tvly = tavily({ apiKey: "tvly-your-actual-api-key" });
```
## 响应格式
### search response
```json
{
"answer": "回答文本",
"results": [{ "title": "", "url": "", "content": "", "score": 0.95 }],
"images": []
}
```
### extract response
```json
{
"results": [{ "url": "", "content": "", "raw_content": "" }]
}
```
### crawl response
```json
{
"results": [{ "url": "", "content": "" }]
}
```
### map response
```json
{
"results": [{ "url": "", "title": "" }]
}
```
### research response
```json
{
"answer": "综合研究报告",
"findings": [{ "content": "", "sources": [] }]
}
```