Introduction

DeepSeek Harness (DSH) uses a plugin-based architecture, allowing developers to expand the functional boundaries of agents by installing community plugins. When developing scenarios that involve domain-specific logic, writing code from scratch is often inefficient. The dsh-bike-gear plugin provides ready-made cycling gear and workout plan calculation logic, helping developers quickly integrate the ability to generate cycling workout plans.

What Is This

The plugin belongs to the online tool category and is maintained by developer uckkk. Its core purpose is to return a corresponding cycling workout plan based on input parameters. The plugin is implemented in pure Node and does not rely on external network requests, so calculations can be completed locally.

Core Features

The plugin mainly provides the bike_gear tool. It accepts specific parameters, processes them through internal logic, and outputs a cycling workout plan. Since it does not depend on the network, this tool can run stably in offline environments or locally deployed environments.

Installation and Activation

Run the official installation command in the terminal to activate the plugin:

dsh plugin add github:uckkk/dsh-bike-gear

After installation, the plugin automatically registers the corresponding tools in the current session, with no additional configuration steps required.

Typical Usage

After successful installation, directly use the tools registered by the plugin in conversations or script calls. The specific invocation method for a tool must follow the definitions in the session environment.

Use Cases and Notes

The plugin is suitable for agent development that requires integrating cycling data calculation features. Because the plugin is a pure Node implementation with no network dependencies, the execution environment is relatively secure and controllable. Before use, it is recommended to inspect the source code to ensure it meets current business requirements and licensing requirements.

Summary

The plugin provides the DSH ecosystem with a lightweight cycling workout plan calculation capability. For more details, see the community directory or source repository:
* GitHub repository
* Community directory