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research-tool

Search the web and synthesize information via the OpenRouter API.

12|1|Updated Feb 16, 2026
Search Tags:#research#information retrieval#llm#search#openrouter#web
One-click install
npx skills add https://github.com/aaronn/openclaw-search-tool --skill research-tool
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-tool
Source: https://github.com/aaronn/openclaw-search-tool/tree/main/skills/research-tool
Command: npx skills add https://github.com/aaronn/openclaw-search-tool --skill research-tool

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides up-to-date information by searching the web using Large Language Models, overcoming the knowledge cut-off limitations of static models.

Core Features & Use Cases

  • Live Web Search: Access current information on any topic.
  • Cited Sources: Get answers with verifiable URLs.
  • Configurable Reasoning: Adjust the depth of analysis with effort levels.
  • Model Flexibility: Use any OpenRouter-supported model with web search capabilities.
  • Use Case: Researching the latest API changes, comparing current market trends, or fact-checking recent news events.

Quick Start

Use the research-tool skill to find the current weather in San Francisco.

Frequently Asked Questions about research-tool

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use LLMs for web search to get current information?▼

LLM web search queries natural language prompts via the OpenRouter API by appending ':online' to supported models, retrieving real-time data with cited URLs for current events and fact-checking.

Can I use any OpenRouter model for live information retrieval?▼

Live information retrieval supports any OpenRouter-supported model with web search capabilities, allowing you to configure model selection and system personas for tailored research outcomes.

What is the best way to research recent API documentation changes using natural language?▼

Researching API documentation uses dynamic data retrieval to access current information on specific topics, appending ':online' to any supported model to fetch up-to-date API changes and verifiable URLs.

Does the reasoning effort affect the depth of analysis for market research?▼

Configurable reasoning effort levels adjust the depth of analysis for market research, allowing you to tailor the synthesis of current market trends and retrieved web data.

What are the limitations of using LLMs for web search compared to static models?▼

LLM web search requires appending ':online' to supported models and depends on the OpenRouter API for dynamic data retrieval, meaning it is limited to models that support online search capabilities.

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