scholar-evaluation

Evaluates scholarly work using the ScholarEval framework with quantitative scoring and recommendations.

Updated Mar 15, 2026

Search Tags:#feedback #academic writing #quality assessment #peer review #research evaluation #scholarship

Ready to run

npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill scholar-evaluation-sagunkayastha

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scholar-evaluation
Source: https://github.com/sagunkayastha/claude_skills_collection/tree/main/research-methodology/scholar-evaluation
Command: npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill scholar-evaluation-sagunkayastha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, scipy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured framework for rigorously evaluating the quality and rigor of scholarly work, ensuring comprehensive assessment and actionable feedback.

Core Features & Use Cases

Systematic Evaluation: Assess research papers, proposals, and reviews across defined dimensions like problem formulation, methodology, and writing.
Quantitative Scoring: Assign scores to different quality dimensions and generate an overall assessment.
Actionable Feedback: Identify strengths, weaknesses, and provide prioritized recommendations for improvement.
Use Case: A researcher can use this Skill to get a detailed, objective critique of a draft manuscript before submission, identifying areas that need strengthening based on established academic criteria.

Quick Start

Use the scholar-evaluation skill to evaluate the attached research paper draft.

Frequently Asked Questions about scholar-evaluation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I systematically evaluate a research paper draft before submission?▼

Systematically evaluate a research paper draft by assessing problem formulation, methodology, analysis, and writing. The framework provides structured feedback, quantitative scoring, and actionable recommendations to strengthen academic manuscripts prior to submission.

What is the ScholarEval framework for academic writing quality assessment?▼

The ScholarEval framework for academic writing quality assessment uses detailed criteria to evaluate research papers, proposals, and reviews. It assigns quantitative scores across defined dimensions and identifies strengths and weaknesses to generate actionable improvement recommendations.

Can I use this framework to generate quantitative scores for peer review feedback?▼

Yes, you can generate quantitative scores for peer review feedback. The framework calculates aggregate scores using Python scripts, assigning numerical values to different quality dimensions and producing an overall assessment for scholarly work.

Do I need Python dependencies like numpy and pandas to calculate research evaluation scores?▼

Yes, you need Python dependencies including numpy, pandas, and scipy to calculate research evaluation scores. These libraries support the quantitative scoring scripts that process the evaluation criteria and generate aggregate assessment results.

What's the best way to critique a research proposal methodology?▼

The best way to critique a research proposal methodology is using a structured evaluation framework that systematically assesses problem formulation, analysis, and writing. This approach provides objective feedback and prioritized recommendations for academic improvement.

When should I not use automated scholarship evaluation for academic papers?▼

Automated scholarship evaluation should not replace human peer review when assessing nuanced academic arguments or novel theoretical contributions. The framework provides structured quantitative scoring and criteria-based feedback, but complex domain expertise still requires manual expert evaluation.