Introduction

DeepSeek Harness (DSH) uses a plugin-based architecture, allowing developers to extend functionality without increasing runtime network overhead. dsh-covariance focuses on providing covariance calculation capabilities.

Plugin Overview

dsh-covariance is a DSH plugin maintained by uckkk, with its core function being covariance calculation. The plugin runs entirely locally and does not depend on any external network interfaces.

Core Features

  • Pure Node implementation
  • No network dependencies

Installation and Dependencies

Before installing this plugin, please ensure the following dependencies are met:
* @deepseek-ai/cordis (^4.0.1)
* @deepseek-ai/dsh-tools (>=0.1.0-rc.6)

The installation command is as follows:

dsh plugin add github:uckkk/dsh-covariance

Typical Usage

After the plugin is installed, it is mounted to the DSH process as a Cordis plugin. The specific usage depends on the interface definitions provided by the plugin. Developers should refer to its source code or documentation to invoke the corresponding covariance calculation methods.

Applicable Scenarios and Notes

  • Applicable scenarios: Scenarios that require local statistical data analysis and are sensitive to network requests.
  • Notes: The plugin runs within the permission context of the DSH process. Before introducing any plugin, it is recommended to review its source code and license (MIT).

Conclusion

dsh-covariance reduces the cost of extending functionality in the DSH environment by providing local computation capabilities without network dependencies. For more details and source code, refer to the community directory or the GitHub repository.