Source: https://github.com/aipoch/medical-research-skills

PROBAST Quality Assessment

This skill evaluates the risk of bias in medical prediction model studies using the PROBAST (Prediction model Risk Of Bias ASsessment Tool) framework. It analyzes the full text of a paper across four domains: Participants, Predictors, Outcome, and Analysis.

When to Use

• Use this skill when you need assess bias in medical prediction model studies using probast tool. use when user wants to evaluate the quality or risk of bias of a medical paper (text or pdf) 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 probast-quality-assessment for prediction model studies package behavior rather than a generic answer.

Key Features

• Scope-focused workflow aligned to: Assess bias in medical prediction model studies using PROBAST tool. Use when user wants to evaluate the quality or risk of bias of a medical paper (text or PDF).
• Packaged executable path(s): scripts/extract_pdf.py.
• Reference material available in references/ for task-specific guidance.
• Structured execution path designed to keep outputs consistent and reviewable.