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scholar-evaluation

Evaluate scholarly research with structured assessment and quantitative scoring.

Updated May 8, 2026
Search Tags:#quantitative scoring#research assessment#scholarly writing#structured feedback#scholarly evaluation
One-click install
npx skills add https://github.com/Zeyuyang-0420/bio-ai-research-skills --skill scholar-evaluation-zeyuyang-0420
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scholar-evaluation
Source: https://github.com/Zeyuyang-0420/bio-ai-research-skills/tree/main/categories/scientific-communication/scholar-evaluation
Command: npx skills add https://github.com/Zeyuyang-0420/bio-ai-research-skills --skill scholar-evaluation-zeyuyang-0420

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need for systematic and comprehensive evaluation of scholarly work, providing structured feedback and quantitative scoring across multiple quality dimensions.

Core Features & Use Cases

  • Structured Evaluation: Evaluates scholarly work based on established criteria, including problem formulation, methodology, analysis, and writing.
  • Quantitative Scoring: Offers quantitative scoring for each dimension to facilitate benchmarking and comparison.
  • Actionable Feedback: Provides specific feedback to enhance research quality and presentation.
  • Integration with Scientific Writer: Seamlessly integrates with scientific writing workflows for continuous improvement.

Quick Start

Run the scholar-evaluation skill on your research paper 'paper.pdf' to generate a structured evaluation report.

Frequently Asked Questions about scholar-evaluation

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

FAQPage Schema
How do I get structured feedback and quantitative scoring for academic paper reviews?▼

Scholarly research evaluation uses the ScholarEval framework to assess research work, providing structured assessment and quantitative scoring across multiple dimensions. It solves the need for systematic evaluation by generating a comprehensive report with actionable feedback.

What do I need to provide to evaluate a research proposal assessment?▼

Scholarly research evaluation applies to literature analysis, academic paper reviews, and research proposal assessments. It evaluates problem formulation, methodology, analysis, and writing dimensions, making it suitable for any stage requiring structured assessment and benchmarking.

How do I run a structured evaluation on a research paper?▼

You provide your research document, analysis criteria, scoring rubrics, and feedback guidelines. The evaluation uses the ScholarEval framework to process these inputs, generating a comprehensive evaluation report with quantitative scoring and actionable feedback.

Does this scholarly evaluation tool require specific dependencies to run?▼

The evaluation framework uses pandas, numpy, and scikit-learn to process quantitative scoring and structured feedback. These dependencies handle data manipulation and analysis tasks required to benchmark research dimensions during the scholarly evaluation process.

What's the best way to benchmark research quality across multiple dimensions?▼

The evaluation framework uses pandas, numpy, and scikit-learn to process quantitative scoring and structured feedback. These dependencies handle data manipulation and analysis tasks required to benchmark research dimensions during the scholarly evaluation process.

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