Introduction

In the development scenarios of DeepSeek Harness (DSH), business logic is often extended through plugins. When dealing with orders, marketing, or discount calculations, developers typically need a stable calculation solution that does not require frequent access to external services. dsh-coupon-opt is designed to address this need by providing a localized coupon evaluation tool based on pure Node.js.

What is it

dsh-coupon-opt is a DSH plugin maintained by uckkk. Its core value lies in providing coupon evaluation capabilities, enabling precise calculations based on the provided parameters and returning detailed calculation results.

Core Features

  • Precise parameter-based calculation: Supports logical evaluation based on specific coupon parameters.
  • Detailed result output: Outputs specific calculation processes or result data.
  • No network dependency: The plugin is implemented in pure Node.js and does not rely on any external network requests, making it suitable for restricted network environments.

Installation and Enablement

Run the following command in the terminal to install the plugin:

dsh plugin add github:uckkk/dsh-coupon-opt

After installation, the plugin registers the corresponding tools in the session, allowing developers to call them directly.

Typical Usage

In a DeepSeek Harness conversation or session, you can directly call the tool functions registered by the plugin and pass the required parameters to perform coupon evaluation.

Use Cases and Notes

  • Dependency requirements: Using this plugin requires the following peerDependencies: @deepseek-ai/cordis (^4.0.1) and @deepseek-ai/dsh-tools (>=0.1.0-rc.6).
  • Security and review: The plugin runs with the permissions of the current DSH process. Before use, it is recommended to review its source code implementation and license (MIT).
  • Environment compatibility: Because it does not depend on the network, it can work properly as long as the environment has a Node.js runtime.

Summary

dsh-coupon-opt provides localized coupon calculation capabilities, making it suitable for lightweight, network-free evaluation scenarios. For more details, refer to its directory page or source repository.