Preface¶

DeepSeek Harness (DSH) adopts a plugin-based architecture. When building workflows or automation scenarios, it is sometimes necessary to programmatically generate training split plans. dsh-workout-split aims to provide the ability to accurately calculate based on parameters and return detailed results.

Plugin Overview¶

This plugin belongs to the workflow category, and its core function is training split planning. It is maintained by uckkk.

Installation and Activation¶

Before installation, check whether the dependency versions meet the requirements:
* @deepseek-ai/cordis: ^4.0.1
* @deepseek-ai/dsh-tools: >=0.1.0-rc.6

Use the official command to install:

dsh plugin add github:uckkk/dsh-workout-split

Core Capabilities¶

• Training split planning: Provides split plan generation.
• Precise parameter-based calculations: Supports parameter input and calculation.
• Detailed results: Outputs detailed data after calculation.

Usage¶

After installation, invoke the tool registered by this plugin in a session.

Notes¶

This plugin is a pure Node.js implementation and has no network dependencies. Before use, review the source code and license (MIT). It runs with the permissions of the current DSH process.

References¶

• Directory page: https://www.skillhub.cn/plugins/uckkk/dsh-workout-split
• Repository: https://github.com/uckkk/dsh-workout-split