scholar-evaluation
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
npx skills add mturac/everything-openai-codex --skill scientific-thinking-scholar-evaluation --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Scholar Evaluation Use this skill to evaluate academic or scientific work with a repeatable rubric. ## When to Use - Reviewing a research paper, proposal, thesis chapter, or literature review. - Checking whether claims are supported by cited evidence. - Evaluating methodology, study design, analysis, or limitations. - Comparing two or more papers for quality or relevance. - Producing structured feedback for revision. ## Evaluation Scope Start by identifying the artifact: - empirical research paper - theoretical paper - technical report - systematic or narrative literature review - research proposal - thesis or dissertation chapter - conference abstract or short paper Then choose scope: - **comprehensive**: all rubric dimensions - **targeted**: one or two dimensions, such as method or citations - **comparative**: rank multiple works against the same rubric ## Rubric Score each applicable dimension from 1 to 5: - 5: excellent; clear, rigorous, and publication-ready - 4: good; minor improvements needed - 3: adequate; meaningful gaps but usable - 2: weak; substantial revision needed - 1: poor; major validity or clarity problems Use `N/A` for dimensions that do not apply. ### 1. Probl
- When to Use
- Evaluation Scope
- Rubric
- 1. Problem and Research Question
- 2. Literature and Context
- 3. Methodology
- 4. Data and Evidence
- 5. Analysis
- 6. Results and Interpretation
- 7. Limitations and Threats to Validity
- 8. Writing and Structure
- 9. Citations
- Review Process
- Output Template
What does the scholar-evaluation skill do?
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill scientific-thinking-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 mturac/everything-openai-codex, a repository with 84 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.