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landawang-star/shuxue-jianmo-lunwen-pingshen — explained in plain English

Analysis updated 2026-05-18

40Audience · researcherComplexity · 2/5LicenseSetup · easy

TL;DR

This AI assistant skill reviews Chinese mathematical modeling competition papers against national contest standards, producing a scored report and formatting fixes.

Mindmap

mindmap
  root((paper review))
    What it does
      Paper type detection
      Structure completeness check
      Format review
      Weighted content scoring
    Tech stack
      Claude Code skill
      Markdown reports
    Use cases
      Pre-submission review
      Judge-style scoring
      Prioritized edit suggestions
    Audience
      Students
      Advisors and judges

Code map

Detail Auto

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filefunction / class

Why would anyone build with this?

REASON 1

Review a mathematical modeling competition paper for formatting issues and missing standard sections before submission.

REASON 2

Get a weighted score across five judging dimensions with written justifications, similar to a real contest judge.

REASON 3

Receive a prioritized list of specific edits needed to raise a paper toward national-award quality.

What's in the stack?

Claude CodeMarkdown

How it stacks up

landawang-star/shuxue-jianmo-lunwen-pingshenagent0ai/doxaka-luan/doc-cleanup
Stars404040
Setup difficultyeasyeasyeasy
Complexity2/51/51/5
Audienceresearcherdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min

Clone the repository into a Claude Code or compatible assistant's skills folder, then submit a paper file.

Custom copyright license, personal use is allowed but redistribution or commercial use requires the author's written permission.

Wtf does this do

This project is a skill for AI coding assistants that reviews mathematical modeling competition papers against the standards used by China's national undergraduate mathematical modeling contest, the CUMCM. You give it a paper and it checks the paper's structure, format, and content the way a real competition judge would, then produces a scored report, a list of formatting problems, and specific suggestions for improvement. The skill first identifies which of four paper types the submission is, traditional modeling, data driven, machine learning, or engineering and signal processing, since each type gets evaluated somewhat differently. It checks whether the paper contains the eight standard sections a competition paper is expected to have, such as the abstract, problem restatement, model assumptions, and model solution, and flags any missing sections. It then reviews six formatting dimensions, including heading and paragraph structure, figure and table numbering, formula formatting, and reference citation style, recording the exact location and severity of every issue found. For content quality, it scores the paper across five weighted dimensions covering the reasonableness of the paper's assumptions, the creativity of the modeling approach, the clarity of the results, formatting compliance, and reference quality, giving each dimension a score along with a written justification rather than a bare number. Because judging genuine creativity is inherently subjective, the skill uses a list of innovation signals with a confidence rating, and automatically recommends human review for cases it cannot confidently judge itself. The project was tested against nineteen real competition papers and states it does not invent content or issue a final verdict on whether a paper will win an award, leaving that decision to human judges. It is installed by cloning the repository into a Claude Code or similar assistant's skills folder. The project uses a custom copyright license that allows personal use but forbids redistribution or commercial use without the author's written permission.

Yoink these prompts

Prompt 1
How do I install and clone this math modeling paper review skill into my Claude Code skills folder?
Prompt 2
Explain the eight standard sections this skill checks for in a competition paper.
Prompt 3
How does this skill judge modeling creativity when the assessment is inherently subjective?
Prompt 4
What are the six formatting dimensions this skill checks in a math modeling paper?

Frequently asked questions

wtf is shuxue-jianmo-lunwen-pingshen?

This AI assistant skill reviews Chinese mathematical modeling competition papers against national contest standards, producing a scored report and formatting fixes.

What license does shuxue-jianmo-lunwen-pingshen use?

Custom copyright license, personal use is allowed but redistribution or commercial use requires the author's written permission.

How hard is shuxue-jianmo-lunwen-pingshen to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is shuxue-jianmo-lunwen-pingshen for?

Mainly researcher.

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