A high-performance web search skill for AI agents using the Querit API with precision filtering capabilities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install querit-web-search
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install querit-web-search using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Querit Advanced Search Skill?
The Querit Advanced Search Skill empowers AI agents within the Openclaw Skills ecosystem to conduct sophisticated web research. By leveraging the Querit API, agents can bypass generic search results and pinpoint specific information using granular filters for domains, timeframes, and geographic locations. This skill is essential for developers who need their agents to access real-time data while maintaining strict control over source credibility and data freshness. It bridges the gap between static LLM knowledge and the live web, making it a cornerstone for any research-heavy Openclaw Skills implementation.
Querit Advanced Search Skill Use Cases
- Retrieving real-time news updates and current events.
- Conducting market research restricted to specific industry websites.
- Sourcing academic or regulatory data from government and official domains.
- Fact-checking information within specific date ranges or geographic regions.
- Building automated newsletters or intelligence reports based on targeted queries.
How Querit Advanced Search Skill Works
- The AI agent identifies a need for external, real-time information based on a user query.
- The agent constructs a JSON payload containing the search query and any required filters like time ranges or site inclusions.
- The skill invokes the search.py script, passing the JSON configuration to the Querit API.
- Querit processes the request, applying advanced filtering logic to the live web index.
- The filtered search results are returned to the agent in a structured format for analysis and response generation.
Querit Advanced Search Skill Setup
To integrate this into your environment, ensure you have Python 3 installed. You will also need a valid API key from the Querit website. Set your environment variable:
export QUERIT_API_KEY='your_api_key_here'
The skill can be tested directly from the CLI to ensure it is working correctly with other Openclaw Skills:
python skills/querit-web-search/scripts/search.py 'Openclaw Skills'
Querit Advanced Search Skill Data Schema & Taxonomy
The skill utilizes a structured JSON request schema to define search parameters:
| Field | Type | Description |
|---|---|---|
| query | String | The primary search term (Required) |
| count | Integer | Number of results to return (Optional) |
| filters.sites | Object | Includes or excludes specific domains |
| filters.timeRange | Object | Temporal constraints (e.g., d7, m6, YYYY-MM-DD) |
| filters.geo | Object | Geographic targeting for specific countries |
| filters.languages | Object | Targeted language support (e.g., english, french) |
Querit Advanced Search Skill Advanced Features
- Multi-domain filtering allowing for curated search environments across multiple trusted sources.
- Precise temporal control using shorthand codes (d, w, m, y) or custom date-to-date ranges.
- Deep geographic and linguistic targeting for localized intelligence gathering and regional news tracking.
- High-volume data retrieval with support for up to 1,000 free monthly queries per account.
- Seamless integration with other Openclaw Skills via JSON-based execution for complex agentic workflows.
SKILL.md
Loading
Related Openclaw Skills
Weather Query
A professional-grade weather integration for AI agents providing real-time conditions and up to 15-day forecasts via the QWeather API.
Browser Automation (agent-browser)
A high-performance browser automation tool for web testing, data extraction, and interactive form filling.
Lobster Farmer Feeder
A specialized skill for the Lobster Farmer game that automates lobster feeding through a CLI interface using AI model token data.
SEO Suite
A comprehensive SEO agent that bridges the gap between technical diagnostics and strategic content planning for organic growth.
AgentDojo
AgentDojo is a production-oriented learning loop that continuously improves AI agent output through automated micro-drills and strict safety guardrails.
Clawbuddy Hatchling
A specialized AI agent skill designed to act as a mentee or hatchling for collaborative, guided development workflows within the Openclaw ecosystem.
Featured*
