What is the b2 skill used for?

It is used to systematically evaluate the methodological quality and risk of bias in various types of research studies, including RCTs, observational, and qualitative data.

Which assessment tools does it support?

It supports industry standards such as Cochrane RoB 2.0, Newcastle-Ottawa Scale (NOS), CASP for qualitative studies, and MMAT for mixed methods.

How does b2 prevent 'Mode Collapse'?

It uses a VS-Research 3-Phase process that moves beyond automatic tool matching by identifying modal limitations and applying context-adaptive evaluation strategies based on research purpose.

Does it support GRADE ratings?

Yes, it includes a built-in framework for assessing the certainty of evidence using GRADE criteria, identifying both upgrade and downgrade factors.

Can it help with meta-analysis preparation?

Yes, it provides evidence utilization recommendations, including meta-analysis inclusion/exclusion advice and sensitivity analysis necessity determination.

Evidence Quality Appraiser (b2)

Name: Evidence Quality Appraiser (b2)
Author: HosungYou

byHosungYou

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数据科学与机器学习

Systematically evaluates research study quality and risk of bias using context-adaptive methodologies and industry-standard appraisal tools.

The Evidence Quality Appraiser (b2) is a specialized skill designed for researchers and clinicians performing systematic reviews or meta-analyses. It goes beyond mechanical checklist completion by employing a VS-Enhanced 3-phase process that adapts evaluation strategies based on research context. By supporting major frameworks like Cochrane RoB 2.0, Newcastle-Ottawa, and GRADE, it ensures rigorous evidence synthesis while preventing 'mode collapse'—the tendency to apply tools without critical domain-specific weighting. It is an essential tool for ensuring the reliability of research findings in evidence-based decision-making.

主要功能

01Automated selection of study-specific appraisal tools including RoB 2.0, NOS, CASP, and MMAT.

02Context-adaptive VS-Research 3-Phase process to prevent mechanical tool application.

03Comprehensive GRADE certainty rating integration for evidence-based recommendations.

04Detailed domain-specific risk of bias (RoB) assessment with interpretive commentary.

05Built-in statistical consistency validation and effect size quality rating checks.

060 GitHub stars

使用场景

01Judging the reliability of research findings for evidence-based clinical or policy decisions.

02Conducting systematic reviews and meta-analyses with standardized risk of bias reporting.

03Validating the methodological quality of studies included in academic papers or guidelines.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hosungyou/diverga b2

For use in Claude.ai and ChatGPT

Download Skill