Foreword

DeepSeek Harness (DSH) adopts an “everything is a plugin” architectural philosophy, aiming to enhance model reasoning and data processing capabilities through modular extensions. During model evaluation or data preprocessing, calculating the degree of association between variables (i.e., correlation coefficients) is a common requirement. Typically, such operations require introducing Python statistical libraries or calling external APIs. With DSH plugins, this logic can be encapsulated as a locally executable Node.js module.

Plugin Introduction

dsh-correlation is a tool plugin focused on calculating correlation coefficients. The plugin is maintained by developer uckkk and is positioned to provide lightweight statistical computation capabilities.

Core Features

  • Correlation coefficients: Provides basic statistical computation.
  • Pure Node implementation: Does not depend on a Python runtime or interpreter.
  • No network dependency: All computation logic runs locally, without connecting to external servers.

Installation and Enablement

Before installing this plugin, ensure your DSH environment meets the following dependency requirements:
- @deepseek-ai/cordis version must be ^4.0.1 or higher.
- @deepseek-ai/dsh-tools version must be 0.1.0-rc.6 or higher.

Run the following command to install the plugin:

dsh plugin add github:uckkk/dsh-correlation

Typical Usage

Currently, public documentation does not provide specific usage examples or configuration item descriptions for this plugin. Users need to explore its API invocation method themselves through the source code or the plugin directory page.

Applicable Scenarios and Notes

  • Applicable scenarios: Scenarios requiring data correlation analysis in a Node.js environment.
  • Security notes: The plugin code is hosted on GitHub. It is recommended to review the source code and license (MIT) before installation.
  • Runtime environment: The plugin runs with the permissions of the current DSH process. Ensuring dependency version compatibility is a prerequisite for normal use.

Summary

dsh-correlation provides a way to calculate correlation coefficients using pure Node.js within the DSH ecosystem, making it useful for scenarios that require no network dependency and localized processing.