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.
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- 30-day movement
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A SKILL.md that gives an AI coding agent a structured rubric for evaluating scholarly work such as papers, proposals, literature reviews, and methods sections. It defines nine scored dimensions (problem, literature, methodology, evidence, analysis, results, limitations, writing, citations), a review process, an output template, and pitfalls.
Reach for it when you want repeatable, rubric-based academic review feedback instead of ad-hoc comments.
Use it to
- Review a research paper or proposal against the nine-dimension rubric
- Check whether claims are supported by cited evidence
- Evaluate a methods section or evidence quality
- Score a thesis chapter or literature review
- Produce structured feedback using the output template
For Researchers, reviewers, and agents evaluating academic writing
- Host repository
- affaan-m/ECC
- Installs, lifetime
- 3,100
- Installs, 8 weeks
- 1,811
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- 261k
- Host language
- JavaScript