What do you want to do?
4 use cases
-
Check which modeling stages this machine can run
Run the doctor check to see which stages work and which dependencies are missing.
- Modeling Workbench
- Codex
- Claude Code
- Research
- Intermediate
View prompt
Use the Modeling Workbench repo in <tool folder> to check my environment. Read .agents/skills/cumcm-workflow/SKILL.md, run scripts/doctor.py, and list the available stages and missing dependencies. Do not install or change anything without my approval, and confirm the report names the tool folder and version.
-
Start a contest project from official problem files
Copy the official problem files into a new project folder with fixed file identities.
- Modeling Workbench
- Codex
- Claude Code
- Research
- Intermediate
View prompt
Use the Modeling Workbench repo in <tool folder> to start a new contest project. Use <official material folder> as the official material and <new project folder> as the output folder. Confirm the contest name, year and paper language, then report the copied file list and the stage that comes next.
-
Test two candidate models before choosing one
Run both candidates as cheap exploratory runs and record why one was selected.
- Modeling Workbench
- Codex
- Claude Code
- Research
- Advanced
View prompt
Use the Modeling Workbench repo in <tool folder> to compare two candidate models for the problem in <project folder>. Record an exploratory run for each candidate, select one with a written rationale, and run the model-design check. Verify the comparison table lists both candidates and the selected one cites its runs.
-
See where a modeling project stands and what needs your sign-off
Get a status report of stages, evidence problems and pending confirmations.
- Modeling Workbench
- Codex
- Claude Code
- Research
- Intermediate
View prompt
Use the Modeling Workbench repo in <tool folder> to check the status of the project in <project folder>. Run the project status tool, list the evidence problems and pending confirmations, and do not record any decision unless I confirm it in my own words.
How to use Modeling Workbench
- Check you have what it needs: Python 3.10 or newer with the Python dependencies the README lists; A MATLAB or Python calculation backend; XeLaTeX and a PDF rendering tool, needed before the paper stage.
- Open Lucasuiii/modeling-workbench on GitHub and read the README and license.
- Put the repository in a separate tool folder, or unzip the Download ZIP from the repository page into one.
- Open Codex or Claude Code in a writable local folder and send the environment prompt from the README Quick Start.
- Set S to the scripts folder inside .agents/skills/cumcm-workflow/scripts, then run
python3 "$S/doctor.py". - Add --json to the same command to see the full structured result.
These steps come from our top use case, Check which modeling stages this machine can run, which also has a copy-paste agent prompt.
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About this repo
- Who it is forBuilt for students and teams in China's CUMCM and similar math modeling contests who use Codex or Claude Code.
- Why it is hot
- LanguagePython
- Sourcegithub.com/Lucasuiii/modeling-workbench · Back to Hot repos
Requirements
- Python 3.10 or newer with the Python dependencies the README lists
- A MATLAB or Python calculation backend
- XeLaTeX and a PDF rendering tool, needed before the paper stage
- Official contest problem files, attachments and submission rules in one folder
- Codex or Claude Code with access to the local tool folder
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Questions about Modeling Workbench
What is Modeling Workbench?
A Codex and Claude Code workflow that guides math modeling contest work from official problem files to a checked, bilingual LaTeX and PDF paper, with evidence records for each step. It is an open-source project on GitHub: https://github.com/Lucasuiii/modeling-workbench.
Who is Modeling Workbench for?
Built for students and teams in China's CUMCM and similar math modeling contests who use Codex or Claude Code.
What can I do with Modeling Workbench?
4 use cases so far, for example: Check which modeling stages this machine can run; Start a contest project from official problem files; Test two candidate models before choosing one. Each has steps and a copy-paste agent prompt.
What do I need to run Modeling Workbench?
Python 3.10 or newer with the Python dependencies the README lists; A MATLAB or Python calculation backend; XeLaTeX and a PDF rendering tool, needed before the paper stage; Official contest problem files, attachments and submission rules in one folder.
What are alternatives to Modeling Workbench?
Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.
Is Modeling Workbench safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.