Introduction

DeepSeek Harness (DSH) adopts an “everything is a plugin” philosophy. When developing agents, if financial data needs to be processed or specific calculations need to be performed within a conversation flow, hardcoding directly in the code is often not flexible enough. The dsh-saving-goal plugin provides a ready-to-use savings goal calculation capability. It can run locally without network dependencies, helping developers quickly add this kind of logic to agents.

Plugin Introduction

This is a memory-type plugin named dsh-saving-goal, maintained by developer uckkk. It primarily addresses the need to calculate savings goals during a session. It accepts parameters through a registered tool and returns detailed results.

Core Features

  1. saving_goal tool: Savings goal calculation. This tool accepts input parameters, performs precise calculations, and returns detailed results.
  2. No network dependencies: The plugin is implemented in pure Node.js and does not require a network connection at runtime, reducing dependency management complexity.

Installation and Enablement

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

dsh plugin add github:uckkk/dsh-saving-goal

After installation is complete, simply call the tool registered by the plugin in the session.

Typical Usage

After successful installation, directly call the saving_goal tool in DSH configuration or the conversation flow. The plugin will perform calculations based on the passed arguments (see the tool definition or plugin documentation for the exact parameter format) and return detailed calculation results.

Use Cases and Notes

This plugin is suitable for agent scenarios that require financial data calculations or savings plan formulation. Because the plugin runs with the privileges of the current DSH process, we recommend checking the source code and license (MIT) before installation to ensure compliance with project security requirements.

Summary

This plugin provides lightweight savings calculation capabilities and is suitable for integration into various DeepSeek Harness agents. For more details, visit the GitHub repository or the skill directory.