dsh-ultramath
Run the following command in DeepSeek Harness:
dsh plugin install Andiii208/dsh-ultramath
Paste the following prompt into your AI chat to install this plugin:
To install the dsh-ultramath plugin in DeepSeek Harness, visit the full source URL https://github.com/Andiii208/dsh-ultramath and run the command `dsh plugin install Andiii208/dsh-ultramath`, then restart DSH.
About this plugin
dsh-ultramath is a multi-agent solving plugin designed specifically for mathematical modeling competitions, addressing the complex workflow pain points from problem analysis to paper submission. Traditional modeling often requires manually coordinating multiple stages like mathematical derivation, coding, result verification, and paper writing. This plugin packages award-winning methodologies into native DeepSeek Harness presets, enabling users to launch end-to-end automation with a single command, significantly boosting efficiency while maintaining high quality.
Its core capabilities include running the entire process—from problem reading, framework design, derivation, coding, verification, to paper writing and review—through a single preset. It also features a built-in library of 33 modeling methods, independent verification mechanisms, digital freezing to prevent drift, and academic integrity controls. Fully self-contained, all paper templates, review scripts, and model documents are distributed with the package, making it ready to use out of the box with no extra configuration needed, even for beginners.
This plugin is ideal for mathematical modeling competition teams, university students, and researchers in related fields. Whether you aim to simplify the solving process, enhance paper quality, or automate tedious modeling steps, dsh-ultramath provides robust support, allowing teams to focus more on innovation and strategy rather than repetitive tasks.
Use Cases
- Teams use the plugin to automate the entire process from problem analysis to paper submission.
- Users seek method recommendations and load corresponding model library documents when choosing approaches.
- After interruption, resume the remaining steps from saved progress files.
Best For
- Students and teams participating in mathematical modeling competitions.
- University researchers needing efficient modeling tools.
- Engineers or scholars aiming to simplify the paper writing process.
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