Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aisa-team/agent-skills/multi-search)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/multi-search"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/multi-search.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.00721 |
| Opus 5 | $0.00026 | $0.00360 |
| Sonnet 5 | $0.00010 | $0.00144 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
multi-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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:
- 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.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 71 lines · 52 tokens per session scan A 57a3bdb7c339
multi-search is a skill published in the GitHub repository AIsa-team/agent-skills (24 stars, last pushed yesterday), licensed Apache-2.0. It adds 52 tokens to every session and 721 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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