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LE
leads-literature-mining
Maintainer FreedomIntelligence · Last updated April 1, 2026
LEADS literature mining: automated extraction of biological findings from papers.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/leads-literature-mining
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- A specialized LLM agent for automating systematic reviews and meta-analyses, capable of high-accuracy study selection and data extraction.
- 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.
- 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.
Source Doc
Excerpt From SKILL.md
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:
Use cases
- Use leads-literature-mining for manuscript drafting and submission workflows.
- Apply leads-literature-mining when polishing research communication outputs.
Not for
- Do not treat this catalog entry as a substitute for the full upstream workflow.
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