Agent skill · Code Review & Quality

scholar-evaluation

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.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill scholar-evaluation-k-dense-ai-claude-scientific-wr --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/analysis/scholar-evaluation-k-dense-ai-claude-scientific-wr/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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 1 file
  • metadata.json
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 claude-skill-registry
All skills →
About this skill
What does the scholar-evaluation skill do?

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.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill scholar-evaluation-k-dense-ai-claude-scientific-wr --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 majiayu000/claude-skill-registry, a repository with 534 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