# Lab-Analysis

> Lab-Analysis — nxz1026-lab-analysis. Use this tool when you need to integrate and analyze clinical lab data from multiple sources, leveraging PubMed evidence and MRI cross-validation to inform medical decisions. It solves problems of data fragmentation and inconsistent analysis by providing a unified pipeline with advanced features like DSPy dual-track LLM and quant gates. The tool accepts lab test results, PubMed queries, and MRI data as inputs and outputs comprehensive analysis reports, ideal for use in medical research and clinical diagnosis contexts.

Canonical page: https://skillsregistry.net/skills/nxz1026-lab-analysis  
JSON: https://api.skillsregistry.net/v1/skills/nxz1026-lab-analysis

## Description

Multi-source clinical lab analysis pipeline: lab tests + PubMed evidence + MRI cross-validation, with DSPy dual-track LLM, quant gates and MCP server.

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nxz1026/Lab-Analysis)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nxz1026-lab-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nxz1026-lab-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nxz1026-lab-analysis/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt