scholar-evaluation
Skill1 starsChanged 3 months agoMITView on GitHub
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
We split this skill into the rules it gives an agent
13 rules. 0 are common, 12 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
12
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Use this skill to evaluate academic or scientific work with a repeatable rubric.
- Distinctive: line 21
Start by identifying the artifact:
- Distinctive: line 33
comprehensive: all rubric dimensions
- Very specific: line 47
Use N/A for dimensions that do not apply.
- Distinctive: line 88
Do claims stay within the evidence?
- Distinctive: line 107
Do cited papers support the claims attached to them?
- Distinctive: line 115
Read the abstract, introduction, figures, and conclusion for claimed contribution.
- Distinctive: line 117
Read methods and results for evidence quality.
- Distinctive: line 118
Check the strongest claims against cited sources.
- Distinctive: line 157
Do not use the score as a substitute for concrete feedback.
- Distinctive: line 158
Do not penalize a paper for omitting a dimension outside its scope.
- Distinctive: line 159
Do not treat citation count, venue, or author reputation as proof of quality.
- Distinctive: line 160
Do not accept unsupported claims just because they appear in the abstract.
“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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. 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 NeededPitfalls
- 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.
Other versions18 projects use a version of this.
Word for word · 1
- Fmarzochi/EGC★ 61100% same
Edited · 1
- renepf/claude-skills★ 099% same
Wrote their own version · 16
- K-Dense-AI/claude-scientific-writer★ 2.4ksame name
- wu-yc/LabClaw★ 1.1ksame name
- LeonChaoX/qinyan-academic-skills★ 910same name
- qinyan-ai/qinyan-academic-skills★ 80same name
- Barrios88/barrios-skills★ 63same name
- LARi-UQAC/ResearchTools★ 14same name
- Wondermonger-daydreaming/claude-skills-library★ 7same name
- MarieLynneBlock/arcanum-artifex★ 4same name
- JunMA98/Computer-science-claude-skills★ 3same name
- BrightGold70/skills★ 1same name
6 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use venue-templates and scientific-writing.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ZanderRussSkillvenue-templates
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
Also in 3 projects that use this
ZanderRussSkillscientific-writing
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.
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