multi-search

name	multi-search
description	Parallel multi-source search combining Web, Scholar, Smart, and Tavily results with confidence scoring and AI synthesis. Best for comprehensive research requiring cross-source validation. Use when: the user needs web search, research, source discovery, or content extraction.
license	MIT
compatibility	Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.
metadata	{"aisa":{"emoji":"🔎","requires":{"bins":["python3"],"env":["AISA_API_KEY"]},"primaryEnv":"AISA_API_KEY","compatibility":"Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one."}}

AIsa Multi-Source Search

The most comprehensive search tool in this plugin. Queries Web, Scholar, Smart, and Tavily sources in parallel, then computes a confidence score based on source availability, result quality, and diversity. Optionally generates an AI synthesis of all results.

Setup

This skill requires the AISA_API_KEY environment variable. When installed as a Claude plugin, the key is configured via the plugin's userConfig.

Usage

Run the search client with the verity subcommand:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/multi-search/scripts/search_client.py verity --query "<search query>" --count <results_per_source>

Arguments

Argument	Required	Default	Description
--query / -q	Yes	—	Search query
--count / -c	No	5	Maximum results per source (1–20)

Example

python3 ${CLAUDE_PLUGIN_ROOT}/skills/multi-search/scripts/search_client.py verity --query "impact of AI on healthcare diagnostics" --count 5

Output

The script prints:

1. Individual results from each source (Web, Smart, Scholar, Tavily)
2. Confidence Assessment with:
   • Score (0–100) — Overall confidence in the search results
   • Level — Very High / High / Medium / Low / Very Low
   • Sources queried and Sources OK — How many sources responded
   • Total results — Combined result count across all sources
3. AI Synthesis — A coherent summary combining insights from all sources, with citations

Confidence Scoring Breakdown

Factor	Weight	Description
Source availability	40%	How many of the 4 sources returned results
Result quality	35%	Ratio of actual results to expected results
Source diversity	15%	Whether both academic and web sources are present
Recency bonus	10%	Bonus for having at least one successful source

When to Use

Use this skill when the user needs the most thorough and reliable search results possible. Best for fact-checking, comprehensive research, verifying claims across multiple sources, or any query where cross-source validation adds significant value. This tool is slower but more reliable than individual search tools.