openclaw-search

Name: openclaw-search
Availability: InStock
Author: AIsa

Search web, scholarly, and Tavily sources with confidence scoring via AISA API.

23|6|Updated Jan 30, 2026

Search Tags:#multi-source #search #web #Tavily #confidence-scoring #scholar

Ready to run

npx skills add https://github.com/AIsa-team/OpenClaw-Skills --skill openclaw-search

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openclaw-search
Source: https://github.com/AIsa-team/OpenClaw-Skills/tree/main/search
Command: npx skills add https://github.com/AIsa-team/OpenClaw-Skills --skill openclaw-search

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill enables autonomous agents to perform multi-source, confidence-scored search across web, scholarly, and Tavily sources.

Core Features & Use Cases

Multi-source retrieval: web, scholar, and Tavily data streams combined for comprehensive results.
Confidence scoring: deterministic scoring and explainable meta-analysis to quantify trust.
Unified API access: a single OpenClaw route via AISA API key for easy integration.
Use Case: Researchers can rapidly assemble corroborated evidence by querying web and scholarly sources and obtaining a confidence score.

Quick Start

Use the OpenClaw Search skill by configuring your API key and running sample queries to retrieve results across sources.

Frequently Asked Questions about openclaw-search

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

FAQPage Schema

How do I perform multi-source search across web and scholarly sources with confidence scoring?▼

You configure your AISA_API_KEY environment variable and run queries through the unified OpenClaw route to retrieve confidence-scored results across web, scholar, and Tavily sources.

What is confidence scoring in multi-source search and how does it work?▼

Confidence scoring in multi-source search quantifies trust through deterministic scoring and explainable meta-analysis, ensuring that evidence retrieved across web and scholarly streams is corroborated before being used for research or competitive intelligence.

Do I need an AISA_API_KEY to use the OpenClaw Search skill?▼

Yes, you need the AISA_API_KEY environment variable, along with curl and python3, to access the unified OpenClaw route that manages parallel retrieval across web, scholar, and Tavily data streams.

Can I use this multi-source search skill for competitive intelligence and market analysis?▼

Yes, this skill is designed for research, market analysis, and competitive intelligence tasks, providing confidence-scored results from combined web and scholarly data streams where trust and corroboration are essential.

What are the limitations of using OpenClaw Search for autonomous agents?▼

The skill requires curl, python3, and the AISA_API_KEY environment variable to function, meaning it depends on external API availability and cannot operate autonomously without these specific unified API prerequisites configured.