什么是 Querit 高级搜索技能？

Querit 高级搜索技能使 Openclaw Skills 生态系统中的 AI 智能体能够进行复杂的网络研究。通过利用 Querit API，智能体可以跳过通用的搜索结果，并使用针对域名、时间范围和地理位置的细粒度过滤器来精确定位特定信息。对于需要智能体访问实时数据，同时又需要严格控制来源可信度和数据新鲜度的开发者来说，这项技能至关重要。它弥补了静态 LLM 知识与实时网页之间的差距，使其成为任何重研究型 Openclaw Skills 实现的基石。

下载入口:https://github.com/openclaw/skills/tree/main/skills/murphyzzzzz/querit-web-search

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

Querit 高级搜索技能 应用场景

• 获取实时新闻更新和当前事件。
• 进行仅限于特定行业网站的市场研究。
• 从政府和官方域名获取学术或监管数据。
• 在特定日期范围或地理区域内进行事实核查。
• 根据针对性的查询构建自动化新闻简报或情报报告。

1. AI 智能体根据用户查询识别对外部实时信息的需求。
2. 智能体构建一个 JSON 有效负载，其中包含搜索查询以及任何所需的过滤器（如时间范围或站点包含）。
3. 该技能调用 search.py 脚本，将 JSON 配置传递给 Querit API。
4. Querit 处理请求，对实时网页索引应用高级过滤逻辑。
5. 过滤后的搜索结果以结构化格式返回给智能体，用于分析和生成响应。

Querit 高级搜索技能 配置指南

要将其集成到您的环境中，请确保已安装 Python 3。您还需要从 Querit 网站获取有效的 API 密钥。设置您的环境变量：

export QUERIT_API_KEY='your_api_key_here'

该技能可以直接从 CLI 进行测试，以确保它能与其它 Openclaw Skills 正常协作：

python skills/querit-web-search/scripts/search.py 'Openclaw Skills'

Querit 高级搜索技能 数据架构与分类体系

该技能利用结构化的 JSON 请求模式来定义搜索参数：

name: querit-web-search
description: Advanced web search using the Querit API with support for site filtering, time ranges, geolocation, and language targeting.
homepage: https://querit.ai
metadata: { "openclaw": { "emoji": "??", "requires": { "bins": ["python3"], "env":["QUERIT_API_KEY"]}, "primaryEnv":"QUERIT_API_KEY" } }

Querit Advanced Search Skill

This skill provides OpenClaw with real-time web search capabilities. It supports complex filtering to retrieve highly accurate information.

Notes:

• Needs QUERIT_API_KEY from https://querit.ai
• Each account receives 1,000 free search queries to experience the content and capabilities.

Trigger Conditions

• When the user asks for real-time news, specific facts, or up-to-date data.
• When the search requires constraints like specific dates, languages, countries, or particular websites.

Supported Parameters

You can construct a JSON payload to use this tool. The payload supports the following fields:

• query (string, Required): The search query term.
• count (integer, Optional): The maximum number of search results to return.
• filters (object, Optional): Filter conditions to refine results.
  • sites (object): Specify which websites to include or exclude.
    • include (array of strings): Only fetch data from these domains (e.g., ["wikipedia.org", "nytimes.com"]).
    • exclude (array of strings): Do not fetch data from these domains.
  • timeRange (object):
    • date (string): Options include:
      • d[number]: Past X days (e.g., d7 for past 7 days).
      • w[number]: Past X weeks (e.g., w2).
      • m[number]: Past X months (e.g., m6).
      • y[number]: Past X years (e.g., y1).
      • YYYY-MM-DDtoYYYY-MM-DD: Specific date range (e.g., 2023-01-01to2023-12-31).
  • geo (object):
    • countries -> include (array of strings): E.g., ["united states", "japan", "germany"].
  • languages (object):
    • include (array of strings): E.g., ["english", "japanese", "german", "french", "spanish"].

Execution Instructions

Execute the included search.py script by passing a strict JSON string as the argument. Wrap the JSON string in single quotes.

Example 1: Simple Search

python skills/querit-web-search/scripts/search.py 'quantum computing breakthroughs'

Example 2: Advanced Filtered Search

python skills/querit-web-search/scripts/search.py '{
    "query": "artificial intelligence regulations",
    "count": 10,
    "filters": {
        "sites": {
            "include": ["techcrunch.com", "mondaq.com","europa.eu"]
        },
        "timeRange": {
            "date": "m3"
        },
        "geo": {
            "countries": {
                "include": ["united states", "united kingdom"]
            }
        },
        "languages": {
            "include": ["english"]
        }
    }
}'