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The Bias Assessor skill is designed for researchers and data scientists performing systematic reviews who need to evaluate the quality of their evidence base. It automatically appends standardized risk-of-bias (RoB) domains—including selection, measurement, confounding, and reporting—to existing extraction tables. By enforcing a strict 'low/unclear/high' scale and requiring justifying notes for every entry, the skill ensures that evidence synthesis is grounded in an 'evidence-first' methodology. This prevents hollow reporting and provides an auditable trail for why specific studies were rated as they were, significantly speeding up the critical appraisal phase of research pipelines.
