Evaluate scholarly work across quality dimensions with scoring and feedback.
npx skills add https://github.com/unerue/skills --skill scholar-evaluation-unerue
Please help me install this Agent Skill. Skill: Scholar Evaluation Source: https://github.com/unerue/skills/tree/main/skills/scientific-evaluation Command: npx skills add https://github.com/unerue/skills --skill scholar-evaluation-unerue
This Skill provides a structured methodology to systematically evaluate scholarly and research work, ensuring comprehensive analysis across multiple quality dimensions.
Use the Scholar Evaluation skill to evaluate the attached research paper using the detailed criteria in references/evaluation_framework.md.
High-intent search queries and answers about installing and using this skill.
Evaluate a research paper by applying the ScholarEval framework to assess scholarly work across multiple quality dimensions like problem formulation and methodology. It generates both qualitative feedback and quantitative scores for academic assessment.
Scholarly writing assessment frameworks evaluate research across dimensions such as Problem Formulation, Methodology, and Writing. This framework provides structured methodology based on peer-reviewed research assessment criteria to generate actionable feedback.
Yes, you can use this academic assessment framework to review grant proposals. It guides users through a systematic review process to highlight strengths and weaknesses based on established scientific rigor and potential impact criteria.
Yes, you need pandas, numpy, and scipy installed to run these research evaluation scripts. These dependencies support the framework's advanced implementation depth for dimension-based scoring and structured methodology.
Generate actionable feedback for a literature review by evaluating it against defined criteria in the evaluation framework. This process produces qualitative assessments and quantitative scores to highlight specific areas for improvement.
hyperbolic-cEvaluate scholarly work with dimension-based scores and actionable feedback.
ovachieverEvaluate scholarly work using the ScholarEval framework with dimension-based scoring.
Weiwei-MaoEvaluate scholarly work across research quality dimensions with quantitative scoring.
Victory-HugoEvaluate scientific literature methodology, biases, and evidence quality.
