In the model inference workflow, LLM outputs often contain numerical values that fall outside the expected business range. The DeepSeek Harness (DSH) plugin ecosystem aims to address these issues through modularization. dsh-clamp focuses on numerical processing and provides value clamping functionality.

Plugin Introduction

This is a value clamping plugin maintained by uckkk and categorized under model inference. Its core value lies in constraining numerical values to prevent abnormal outputs from affecting downstream logic. The plugin is implemented in pure Node and has no network dependencies.

Installation and Enablement

Run the following command to install the plugin:

dsh plugin add github:uckkk/dsh-clamp

Before installation, ensure your environment meets the dependency requirements. According to package.json, this plugin requires the following peer dependencies:
* @deepseek-ai/cordis: version ^4.0.1
* @deepseek-ai/dsh-tools: version >=0.1.0-rc.6

Core Features

  • Value Clamping: Provides constraints on numerical ranges.
  • Pure Node Implementation: Makes no network requests and runs efficiently.

Typical Usage

After installation, you can directly call the tool registered by this plugin in your session.

Use Cases and Notes

This plugin is suitable for scenarios that require strict constraints on numerical values in model outputs.

Because the plugin runs with the permissions of the current DSH process, it is recommended to review the source code and license (MIT) before use. If you encounter issues during installation, consult the community catalog: https://www.skillhub.cn/plugins/uckkk/dsh-clamp.