Introduction

DeepSeek Harness (DSH) uses a plugin-based architecture. In agent development, if you need to run specific logic locally without relying on external APIs, you can achieve this by installing a plugin. dsh-mandarin-grade is a purely Node-based calculation tool implemented in this way.

What It Is

dsh-mandarin-grade is a plugin maintained by uckkk that provides Mandarin proficiency grade calculation. It does not depend on a network environment.

Core Functionality

The tool registered by the plugin is named mandarin_grade. This tool supports precise calculation of Mandarin grades based on parameters and returns detailed results.

Installation and Dependencies

Before installation, ensure the environment meets the following dependencies:
- @deepseek-ai/cordis version >= 4.0.1
- @deepseek-ai/dsh-tools version >= 0.1.0-rc.6

Install using the official command:

dsh plugin add github:uckkk/dsh-mandarin-grade

Usage

After installation, you can use it by directly invoking the tool mandarin_grade registered by the plugin in a session.

Applicable Scenarios and Notes

This plugin is suitable for scenarios that require local language grade determination. Because the plugin runs with the current DSH process permissions, be sure to check its source code and license (MIT) before installation.

Summary

dsh-mandarin-grade provides a solution for Mandarin grade calculation without network dependencies. For more details, refer to the plugin directory or source code repository:
- Plugin Directory
- GitHub Repository