Agent skill · Code Review & Quality

scholar-evaluation

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.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill scholar-evaluation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 12 KB
Bundled scripts: yes
Path: skills/04-研究方法与科学思维/scholar-evaluation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Scholar Evaluation ## Overview Apply the ScholarEval framework to systematically evaluate scholarly and research work. This skill provides structured evaluation methodology based on peer-reviewed research assessment criteria, enabling comprehensive analysis of academic papers, research proposals, literature reviews, and scholarly writing across multiple quality dimensions. ## When to Use This Skill Use this skill when: - Evaluating research papers for quality and rigor - Assessing literature review comprehensiveness and quality - Reviewing research methodology design - Scoring data analysis approaches - Evaluating scholarly writing and presentation - Providing structured feedback on academic work - Benchmarking research quality against established criteria - Assessing publication readiness for target venues - Providing quantitative evaluation to complement qualitative peer review ## Visual Enhancement with Scientific Schematics **When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.** If your document does not already contain schematics or diagrams: - Use the **scientific-schematics** skill to generate

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Visual Enhancement with Scientific Schematics
  4. Evaluation Workflow
  5. Step 1: Initial Assessment and Scope Definition
  6. Step 2: Dimension-Based Evaluation
  7. Step 3: Scoring and Rating
  8. Step 4: Synthesize Overall Assessment
  9. Step 5: Provide Actionable Feedback
  10. Step 6: Contextual Considerations
  11. Resources
  12. references/evaluationframework.md
  13. scripts/calculatescores.py
  14. Best Practices
Ships with 2 files
  • references/evaluation_framework.md
  • scripts/calculate_scores.py
Commands it runs
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
python scripts/calculate_scores.py --scores <dimension_scores.json> --output <report.txt>
More from qinyan-academic-skills
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About this skill
What does the scholar-evaluation skill do?

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.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill scholar-evaluation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going