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scholar-evaluation

Evaluate scholarly work with dimension-based scoring and weighted quality assessments.

Updated Mar 31, 2026

Search Tags:#feedback #scoring #literature-review #research-quality #scholar-evaluation #academic-assessment #dimension-based-review

Ready to run

npx skills add https://github.com/HaykTarkhanyan/dst_research --skill scholar-evaluation-hayktarkhanyan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scholar-evaluation
Source: https://github.com/HaykTarkhanyan/dst_research/tree/main/.claude/skills/scholar-evaluation
Command: npx skills add https://github.com/HaykTarkhanyan/dst_research --skill scholar-evaluation-hayktarkhanyan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

Core Features & Use Cases

Dimension-based evaluation across Problem Formulation, Literature Review, Methodology, Data Collection, Analysis, Results, Writing, and Citations.
Quantitative scoring with weighted aggregation to produce an overall quality rating.
Actionable, dimension-specific feedback to guide revisions and improve publication readiness.
Support for revision cycles by tracking score changes across versions and generating improvement plans.
Use Case: assess a conference paper draft to identify gaps in methodology and writing, then generate a concrete revision plan.

Quick Start

Submit a scholarly document and run the evaluation to generate a structured, decision-ready report.

Frequently Asked Questions about scholar-evaluation

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

FAQPage Schema

How do I evaluate the research quality of a scholarly manuscript before submission?▼

Evaluating research quality of a scholarly manuscript involves applying a dimension-based framework to assess problem formulation, methodology, and writing. This generates a structured report with quantitative scores, identified weaknesses, and actionable recommendations for revision.

What is dimension-based academic assessment and how does it score literature reviews?▼

Dimension-based academic assessment evaluates scholarly work across specific categories like literature review, data collection, and analysis. It computes weighted scores for each dimension to produce an overall quantitative quality rating and highlight areas needing improvement.

How do I generate an actionable revision plan for a conference paper draft?▼

To generate a revision plan for a conference paper draft, run a scholarly evaluation to identify gaps in methodology and writing. The resulting synthesized report provides dimension-specific feedback and concrete steps to improve publication readiness.

Can I track score changes across multiple revision cycles of a research paper?▼

Yes, scholarly evaluation frameworks support revision cycles by tracking score changes across document versions. This allows you to monitor improvements over time and generate targeted improvement plans for subsequent drafts.

Does academic assessment software evaluate citations and data collection methodology?▼

Yes, academic assessment software evaluates both citations and data collection methodology as distinct dimensions. It applies weighted criteria to each category, generating scores that reflect the rigor and quality of your research inputs and referencing.

What are the limitations of using automated scoring for academic assessment?▼

Automated academic assessment provides structured quantitative scoring but should not replace peer review. It mechanically applies dimension-based criteria to generate feedback, meaning nuanced contextual understanding of complex scholarly arguments may be limited.