Scholar Evaluation
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback. Use when evaluating academic or scientific work — papers, proposals, methods sections, or evidence quality — against a repeatable rubric.
affaan-m on GitHub
Curated by PromptsEdge from a public repo · MIT license. All credit goes to the author.
What is this skill?
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. Problem and Research Question
- Is the problem clear and specific?
- Is the contribution meaningful?
- Are scope and assumptions explicit?
- Does the question match the claimed contribution?
2. Literature and Context
- Is relevant prior work covered?
- Does the work synthesize rather than merely list sources?
- Are gaps accurately identified?
- Are recent and foundational sources balanced?
3. Methodology
- Does the method answer the research question?
- Are design choices justified?
- Are variables, datasets, participants, or materials described clearly?
- Could another researcher reproduce the work?
- Are ethical and practical constraints acknowledged?
4. Data and Evidence
- Are data sources credible and appropriate?
- Is sample size or corpus coverage adequate?
- Are inclusion, exclusion, and preprocessing decisions documented?
- Are missing data and bias risks discussed?
5. Analysis
- Are statistical, qualitative, or computational methods appropriate?
- Are baselines and controls fair?
- Are uncertainty, sensitivity, or robustness checks included when needed?
- Are alternative explanations considered?
6. Results and Interpretation
- Are results clearly presented?
- Do claims stay within the evidence?
- Are figures, tables, and metrics understandable?
- Are negative or null results handled honestly?
7. Limitations and Threats to Validity
- Are limitations specific rather than generic?
- Are internal, external, construct, and conclusion-validity risks addressed?
- Does the paper distinguish speculation from demonstrated results?
8. Writing and Structure
- Is the argument easy to follow?
- Are sections organized around the research question?
- Are definitions and notation clear?
- Is the tone precise and scholarly?
9. Citations
- Do cited papers support the claims attached to them?
- Are primary sources used where possible?
- Are reviews labeled as reviews?
- Are preprints labeled as preprints?
- Are citation metadata and links correct?
Review Process
- Read the abstract, introduction, figures, and conclusion for claimed contribution.
- Read methods and results for evidence quality.
- Check the strongest claims against cited sources.
- Score each applicable dimension.
- Separate critical blockers from revision suggestions.
- End with concrete next edits.
Output Template
# Scholar Evaluation: <Artifact>
## Overall Assessment
- Overall score: <1-5 or N/A>
- Confidence: <high | medium | low>
- Summary: <3-5 sentences>
## Dimension Scores
| Dimension | Score | Evidence | Revision priority |
| --- | ---: | --- | --- |
| Problem and question | | | |
| Literature and context | | | |
| Methodology | | | |
| Data and evidence | | | |
| Analysis | | | |
| Results and interpretation | | | |
| Limitations | | | |
| Writing and structure | | | |
| Citations | | | |
## Critical Issues
## Recommended Revisions
## Evidence Checks Needed
Pitfalls
- Do not use the score as a substitute for concrete feedback.
- Do not penalize a paper for omitting a dimension outside its scope.
- Do not treat citation count, venue, or author reputation as proof of quality.
- Do not accept unsupported claims just because they appear in the abstract.
Install this skill
- 1
Get the skill — it’s free
Use the Get this skill panel. Unlocked skills stay in My skills. - 2
Download or clone the files
Download the zip, or clone the repo and copy theskills/scientific-thinking-scholar-evaluationfolder. - 3
Put it where your agent looks for skills
For Claude Code, use your personal skills folder (every project) or a project’s own folder:~/.claude/skills/scholar-evaluation/SKILL.md # all projects .claude/skills/scholar-evaluation/SKILL.md # this project only
- 4
Just ask
No command needed. The agent reads the skill’s description and loads it on its own when your request matches.
SKILL.md frontmatter
What your agent reads to decide when to load this skill.
--- name: scholar-evaluation description: Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback. Use when evaluating academic or scientific work — papers, proposals, methods sections, or evidence quality — against a repeatable rubric. ---
Files
This skill lives in a public GitHub repo. Browse the files on GitHub ↗
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