# Leads Literature Mining

> Review Automator

- Skill: `fridrichmethod/leads-literature-mining` (Agent Skill)
- Install (CLI): `npx skillmds@latest add fridrichmethod/leads-literature-mining`
- Raw SKILL.md: https://api.skillmd.com/api/skills/fridrichmethod/leads-literature-mining/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- License: CC-BY-4.0
- Author: FridrichMethod (https://skillmd.com/u/fridrichmethod)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/fridrichmethod/leads-literature-mining

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# LEADS (Literature Mining Agent)

A specialized LLM agent for automating systematic reviews and meta-analyses, capable of high-accuracy study selection and data extraction.

## When to Use

*   **Systematic Reviews**: Screening thousands of abstracts for inclusion criteria.
*   **Data Extraction**: Pulling specific metrics (e.g., hazard ratios, sample sizes) from full-text PDFs.
*   **Evidence Synthesis**: Aggregating findings across multiple studies.

## Core Capabilities

1.  **Study Selection**: Automated screening based on PICO criteria.
2.  **Data Extraction**: Structured extraction of study characteristics and results.
3.  **Quality Assessment**: Risk of bias evaluation.

## Workflow

1.  **Search**: Query PubMed/Embase.
2.  **Screen**: Apply inclusion/exclusion criteria to abstracts.
3.  **Extract**: Parse full text for data points.
4.  **Report**: Generate PRISMA flow diagram and evidence table.

## Example Usage

**User**: "Perform a systematic review on the efficacy of CAR-T in solid tumors."

**Agent Action**:
```bash
python -m leads.review --topic "CAR-T solid tumors" --criteria ./criteria.json
```


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