Introduction

The core design philosophy of DeepSeek Harness (DSH) is “everything is a plugin.” Developers can extend a model’s tool capabilities by installing community plugins. In the niche area of health-check data analysis, there is a specific need to interpret particular physical examination parameters. dsh-uric-acid was created for this purpose, providing a toolkit focused on interpreting uric acid parameters.

Plugin Positioning

This is a model inference tool plugin maintained by uckkk. Its core value is enabling agents to generate structured interpretation results based on input uric acid values, assisting with medical consultation or health-check report analysis.

Core Features

The plugin provides the following core capabilities:
1. uric_acid: Accepts a uric acid parameter and returns the corresponding interpretation text.
2. Technical implementation: Built on pure Node.js, with no external network requests required during execution.

Installation and Enablement

In a DSH environment, install the plugin via the command line:

dsh plugin add github:uckkk/dsh-uric-acid

After installation, the plugin registers the corresponding tool, and developers can invoke it directly in a session.

Typical Usage

Once installation is complete, invoke the uric_acid tool in a DSH session by passing a specific uric acid value or parameter to obtain the interpretation result.

Applicable Scenarios and Notes

  • Applicable Scenarios: Suitable for agent development that requires integrating medical data interpretation capabilities, such as a health-check report analysis assistant.
  • Notes: The plugin output is for reference only and cannot substitute for professional medical diagnosis. Always follow the advice of a qualified medical professional. Additionally, it is recommended to review the source code and license before installation to ensure compliance with project requirements.

Summary

dsh-uric-acid provides a lightweight medical data analysis tool for the DSH plugin ecosystem. For developers who need to process uric acid parameters during model inference, this is a directly integrable solution. More details can be found in the GitHub repository.