How do I install the Leads Literature Mining skill?

Run npx skillmds@latest add biotender-max/leads-literature-mining in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Leads Literature Mining skill do?

<!-- It is listed under Research & Search on SkillMD.

Is Leads Literature Mining safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Leads Literature Mining?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Leads Literature Mining free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Leads Literature Mining?

BioTender-max (@biotender-max) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Leads Literature Mining by biotender-max

Name: Leads Literature Mining
Author: BioTender-max

File contents

name: leads-literature-mining description: Review Automator keywords: - literature-mining - systematic-review - meta-analysis - pubmed - evidence-synthesis measurable_outcome: Complete a systematic review screen of 100+ papers with >90% inclusion/exclusion accuracy compared to human baseline. license: CC-BY-4.0 metadata: author: Nature Communications 2025 version: "1.0.0" compatibility: - system: Python 3.9+ allowed-tools: - run_shell_command - web_fetch

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

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

Workflow

Search: Query PubMed/Embase.
Screen: Apply inclusion/exclusion criteria to abstracts.
Extract: Parse full text for data points.
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:

python -m leads.review --topic "CAR-T solid tumors" --criteria ./criteria.json

---name: leads-literature-miningdescription: ---name: leads-literature-miningdescription: Review Automatorkeywords: - literature-mining - systematic-review - meta-analysis - pubmed - evidence-synthesismeasurable_outcome: Complete a systematic review screen of 100+ papers with >90% inclusion/exclusion accuracy compared to human baseline.license: CC-BY-4.0metadata: author: Nature Communications 2025 version: "1.0.0"compatibility: - system: Python 3.9+allowed-tools: - run_shell_command - web_fetch---# 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 Capabilities1. **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.## Workflow1. **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**:```bashpython -m leads.review --topic "CAR-T solid tumors" --criteria ./criteria.json```

Frequently asked questions

Leads Literature Mining