What problem does it solve? Manually assessing a research paper against international reporting and quality guidelines (PRISMA, CONSORT, STROBE, GRADE, etc.) and formatting the results into a formal academic document is slow and error-prone. This Skill automates the full pipeline from paper ingestion to a finished Word report. ## Core Features & Use Cases - Automatic Study Design Identification: Reads PDF or DOCX papers and classifies the research design (systematic review, RCT, cohort, diagnostic accuracy, case report) using a decision tree, with mandatory user confirmation. - Guideline-Based Appraisal: Applies the correct reporting guideline (PRISMA, CONSORT, STROBE, STARD, CARE) and risk-of-bias tool (RoB 2.0, ROBINS-I, QUADAS-2, NOS, AMSTAR 2), scoring each item as Yes/Partial/No/N/A with compliance rates. - GRADE Certainty Rating: Performs GRADE evidence certainty grading for systematic reviews and meta-analyses. - Word Report Generation: Outputs the full evaluation as an academic-style .docx document via a Node.js script. - Use Case: A researcher uploads a clinical trial PDF and asks for a CONSORT compliance check; the Skill identifies the design, appraises every checklist item, and delivers a formatted Evaluation_Report.docx. ## Quick Start Evaluate this paper PDF against the appropriate reporting guideline and generate the results as a Word document.
