Introduction

In the DeepSeek Harness (DSH) plugin ecosystem, tools have clearly defined responsibilities. For basic numerical calculation needs, introducing external network calls is not the optimal solution, especially in scenarios requiring fast response or offline use. The dsh-bmi plugin provides a localized solution, implemented in pure Node.js, to meet immediate calculation needs without relying on external network environments.

Plugin Introduction

dsh-bmi is a BMI (Body Mass Index) calculation tool developed by maintainer uckkk and open-sourced under the MIT License. It solves the problem of quickly obtaining BMI estimates during a conversation, simplifying the process by performing calculations locally.

Core Features

  • Parameter-based calculation: Supports precise BMI calculation based on provided parameters.
  • Detailed results: Returns the specific calculated numeric values.
  • Pure Node implementation: No network dependency; calculation speed is determined by the local environment.
  • Disclaimer: The output is an estimate and does not constitute medical advice.

Installation and Enabling

Install the plugin using the official command:

dsh plugin add github:uckkk/dsh-bmi

After installation is complete, the plugin automatically registers its tool. In the current DSH session, you can use it by directly invoking the tool registered by the plugin.

Applicable Scenarios and Precautions

  • Applicable scenarios: Suitable for developers or users who need to quickly estimate body mass index, especially in offline environments or scenarios requiring lightweight calculation.
  • Precautions: The plugin runs with the permissions of the current DSH process. It is recommended to review the source code and license before installation. Calculation results are for reference only and should not be used as a basis for medical diagnosis.

Conclusion

The dsh-bmi plugin provides lightweight BMI calculation capability. It simplifies the BMI calculation process through a pure Node implementation and is suitable for users who need localized, network-independent calculations.