Remote OpenClaw

aisa-multi-source-search

Search & Research
v1.0.0
Benign

Intelligent search for agents.

11.3K downloads1.3K installsby @aisapay

Setup & Installation

Install command

clawhub install aisapay/aisa-multi-source-search

If the CLI is not installed:

Install command

npx clawhub@latest install aisapay/aisa-multi-source-search

Or install with OpenClaw CLI:

Install command

openclaw skills install aisapay/aisa-multi-source-search
View on GitHub

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/aisapay/aisa-multi-source-search

What This Skill Does

Queries web, academic, and Tavily sources in parallel and synthesizes results into a confidence-scored answer. Uses a two-phase approach: parallel retrieval followed by meta-analysis via AIsa Explain. Each response includes a score from 0 to 100 based on source quality, cross-source agreement, recency, and relevance.

Combining web, academic, and external validation sources in one API call with deterministic confidence scoring removes the need to manually reconcile results from separate search tools.

When to Use It

  • Finding recent academic papers on a topic with year range filters
  • Aggregating web coverage of an industry event or funding round
  • Comparing reviews and benchmarks across competing frameworks
  • Verifying a technical claim across multiple source types before citing it
  • Crawling and extracting content from a list of competitor URLs

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Finding recent academic papers on a topic with year range filters

AGENT
  1. 1Finding recent academic papers on a topic with year range filters
  2. 2Aggregating web coverage of an industry event or funding round
  3. 3Comparing reviews and benchmarks across competing frameworks
  4. 4Verifying a technical claim across multiple source types before citing it
  5. 5Crawling and extracting content from a list of competitor URLs
OUTPUT
Intelligent search for agents.

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Details

LanguageMarkdown
Last updatedFeb 26, 2026
View on GitHub

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