Introduction

The core design philosophy of DeepSeek Harness (DSH) is “everything is a plugin.” During agent development and debugging, input parameters, context, or session state often require deep cleaning and optimization. The dsh-deep-clean plugin is designed to address this problem. It provides a local cleaning tool implemented purely in Node.js, requiring no network dependencies, and can perform precise calculations based on parameters to return explicit suggestions.

Plugin Overview

This plugin is maintained by uckkk and released under the MIT open-source license. Its core value lies in providing a lightweight local processing capability, suitable for scenarios where cleaning logic needs to be executed directly within DSH processes.

Core Features

The main tool registered by the plugin is deep_clean, defined as follows:

  • deep_clean: Performs a deep-cleaning function. This tool can calculate precisely based on input parameters and return clear processing suggestions.
  • No network dependency: Implemented purely in Node.js and does not rely on external network requests.

Installation and Enablement

Installation can be completed using DSH’s plugin management command:

dsh plugin add github:uckkk/dsh-deep-clean

After installation, the plugin will register the corresponding tools in the current DSH session.

Usage

After installation, no additional configuration is required. You can directly call the tool registered by the plugin in the session.

Technical Details and Notes

This plugin has specific runtime environment dependencies. According to package.json, ensure the following prerequisites are met before installation:

  • @deepseek-ai/cordis: version must be greater than or equal to ^4.0.1
  • @deepseek-ai/dsh-tools: version must be greater than or equal to 0.1.0-rc.6

Because the plugin runs with the permissions of the current DSH process, it is recommended to carefully review the source code and license (MIT) before installation.

References