study-design-identifier

Identifies the real study design of biomedical papers from methods structure.

Updated Sep 15, 2026
One-click install
npx skills add https://github.com/mrsonord2240/openscience-specialists --skill study-design-identifier-mrsonord2240
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: study-design-identifier
Source: https://github.com/mrsonord2240/openscience-specialists/tree/main/specialists/critical-appraisal-specialist/versions/1.0.0/package/skills/study-design-identifier
Command: npx skills add https://github.com/mrsonord2240/openscience-specialists --skill study-design-identifier-mrsonord2240

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Papers often mislabel their own study design, calling retrospective database analyses "real-world evidence" or omics screens "mechanism studies," which distorts literature appraisal and evidence grading. This Skill classifies what a paper actually did based on its structural features rather than author self-description. ## Core Features & Use Cases - Structure-Based Classification: Maps papers to design families (RCT, cohort, case-control, cross-sectional, diagnostic, prognostic, omics, mechanistic) using population, allocation, timing, and comparison logic. - Hybrid Design Separation: Distinguishes primary and secondary design layers in multi-component papers such as TCGA screening plus wet-lab validation. - Mislabel Correction and Confidence Rating: Flags inflated author terminology and assigns High/Medium/Low classification confidence with an evidence-family position for downstream appraisal. - Use Case: A journal club reviewer asks whether a biomarker paper is a true validated prediction study or exploratory omics screening, and receives a design-identification memo with rejected alternatives and confidence level. ## Quick Start Ask the assistant to identify the real study design of a paper by pasting its abstract, methods section, or a structured study summary.

Frequently Asked Questions about study-design-identifier

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify the real study design of a medical paper?▼

Provide the paper's abstract, methods section, full text, or a structured summary, and the design is classified from structural features like allocation, timing, sampling, and comparison logic. The output includes a primary design label, rejected alternatives, and a confidence rating.

How to classify a hybrid paper with omics and wet-lab experiments?▼

Hybrid papers are separated into a primary design layer carrying the main claim and secondary supportive layers, rather than forced into one label. For example, TCGA screening plus cell validation is labeled as an omics screening study with a mechanistic validation layer.

Can it tell a retrospective cohort from a case-control study?▼

Yes, the taxonomy explicitly distinguishes grouping by exposure (cohort) from grouping by outcome (case-control), and cross-sectional single-timepoint sampling from longitudinal follow-up. These distinctions are checked every time before assigning a label.

Does it accept a DOI or PMID instead of full text?▼

A DOI or PMID is accepted as input, but classification confidence depends on the actual study content available. If methods detail is insufficient, confidence is lowered rather than inventing missing study features.

What are the limitations of study design classification?▼

Classification cannot proceed when no paper content or study summary is available, and it does not judge therapeutic efficacy beyond what the design supports. It also never fabricates citations, PMIDs, trial registrations, or unverified metadata.