Individual skill
meta-screening-fulltext
Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID. Use when the user needs to evaluate a paper for a meta-analysis.
scientific-skills/Data Analysis/meta-screening-fulltext/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Sep 17, 2026
- License
- MIT
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- research Derived category
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Paper Screening (Full Text + PubMed)
This skill screens a medical paper to determine if it should be included in a meta-analysis based on PICO criteria. It can optionally fetch metadata (Title/Abstract) from PubMed if a PMID is provided.
## When to Use
- Use this skill when you need screen full-text papers against inclusion/exclusion criteria, with optional pubmed metadata check using pmid. use when the user needs to evaluate a paper for a meta-analysis in a reproducible workflow.
- Use this skill when a data analytics task needs a packaged method instead of ad-hoc freeform output.
- Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
- Use this skill when `scripts/extract_pdf.py` is the most direct path to complete the request.
- Use this skill when you need the `meta-screening-fulltext` package behavior rather than a generic answer.
## Key Features