multi-search
'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.'
Resources
1Install
npx skillscat add aisa-team/agent-skills/multi-search Install via the SkillsCat registry.
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 5Output
The script prints:
- Individual results from each source (Web, Smart, Scholar, Tavily)
- 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
- 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.