Is the evaluation suitable for both STEM and Humanities?

Yes, the framework allows for contextual adjustments based on disciplinary norms, focusing on reproducibility in STEM and argumentation in the Humanities.

Does it provide a numerical score for my research?

The skill includes an optional 5-point quantitative scoring system for each dimension and can calculate aggregate scores to track improvement across revisions.

What is the ScholarEval framework used in this skill?

ScholarEval is a peer-reviewed, retrieval-augmented evaluation framework that assesses research based on soundness (empirical validity) and contribution (originality relative to prior literature).

What specific dimensions does the skill evaluate?

It assesses eight core areas: Problem Formulation, Literature Review, Methodology, Data Collection, Analysis & Interpretation, Results, Scholarly Writing, and Citations.

Can this skill generate scientific diagrams for my paper?

Yes, the skill integrates with scientific-schematics to automatically generate, review, and refine publication-quality diagrams based on your descriptions.

Scholar Evaluation

Name: Scholar Evaluation
Author: pur3v4d3r

bypur3v4d3r

•

Ciencia de Datos y ML

Evaluates scholarly research and academic papers using the ScholarEval framework to provide structured quality assessments and quantitative scoring.

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The Scholar Evaluation skill implements the ScholarEval framework to systematically analyze research papers, proposals, and literature reviews. It empowers Claude to perform deep-dive assessments across eight core dimensions—including methodology, problem formulation, and data analysis—providing both qualitative feedback and quantitative scoring. By integrating automated scientific schematic generation and benchmarking against peer-reviewed standards, this skill helps researchers, students, and academics refine their work, identify critical gaps, and assess publication readiness for top-tier venues.

Características Principales

1 GitHub stars
Comprehensive feedback synthesis with prioritized improvement recommendations
Integrated scientific schematic generation for visual data representation
Automated quantitative scoring and aggregate rating system
Dimension-based evaluation across 8 core scholarly criteria
Context-aware assessment for different academic disciplines and stages

Casos de Uso

Benchmarking research paper drafts before journal or conference submission
Providing structured feedback for student theses and research proposals
Evaluating the rigor and comprehensiveness of literature reviews

Acerca de

Características Principales

1 GitHub stars
Comprehensive feedback synthesis with prioritized improvement recommendations
Integrated scientific schematic generation for visual data representation
Automated quantitative scoring and aggregate rating system
Dimension-based evaluation across 8 core scholarly criteria
Context-aware assessment for different academic disciplines and stages

Casos de Uso

Benchmarking research paper drafts before journal or conference submission
Providing structured feedback for student theses and research proposals
Evaluating the rigor and comprehensiveness of literature reviews