Introduction

The design philosophy of DeepSeek Harness (DSH) emphasizes modularity and extensibility. When domain-specific computational logic needs to be executed locally without relying on external network interfaces, introducing local plugins is a common approach. dsh-winter-car is a local computational tool designed for such scenarios.

Plugin Introduction

This is a pure Node DSH plugin whose core function is to precisely calculate winter driving suggestions based on parameters. It does not require a network connection to run, making it suitable for offline or network-restricted deployment environments.

Core Features

  • Parameterized calculation: Calculates winter driving suggestions based on input parameters.
  • No network dependency: Pure Node implementation, runnable without an internet connection.

Installation and Dependencies

Before installation, make sure your environment meets the following dependency requirements:

  • @deepseek-ai/cordis (version ^4.0.1)
  • @deepseek-ai/dsh-tools (version >=0.1.0-rc.6)

Run the following command to install the plugin:

dsh plugin add github:uckkk/dsh-winter-car

Usage

After installation, you can directly invoke the tool registered by the plugin in the session. The registered tool name is winter_car.

Notes

  • The plugin is packaged using dsh.bundle.patch.
  • Be sure to check the source code and license before use.
  • The current catalog listing for this plugin in the DSH ecosystem directory: catalog_url.

Summary

dsh-winter-car provides a lightweight solution for winter driving calculation within the DSH plugin ecosystem. By replacing external API calls with local computation, it reduces network dependency and suits deployment needs that require quick responses in specific scenarios. For more technical details, see its GitHub repository.