research-assessor

What problem does it solve?

The Research Assessor skill enables rigorous extraction of research methodology, claims, evidence, and infrastructure from Humanities and Social Sciences papers, paired with a credibility assessment using the adapted repliCATS Seven Signals and a structured eight-pass workflow (Passes 0-7) that culminates in a machine-readable canonical assessment.

Core Features & Use Cases

• Provides core decision frameworks for distinguishing evidence versus claims, explicit versus implicit RDMAP items, and cross-section validation across passes.
• Delivers complete schema definitions, reference materials, and runtime prompts to support extraction prompts across Passes 1-9 and generate outputs such as extraction.json, classification.json, and assessment artifacts.
• Produces narrative cluster reports and corpus-level metrics suitable for dashboards, governance, and reproducibility studies, while ensuring source verification through verbatim quotes and trigger passages.

Quick Start

Provide a target research paper and run the eight-pass extraction and credibility assessment workflow to generate outputs.