Introduction

DeepSeek Harness (DSH) uses a plugin-based architecture, aiming to solve specific problems by combining capabilities. When building agents, performance is often key to the overall experience. Developers commonly face challenges such as hard-to-quantify metrics, difficult bottleneck identification, and uncontrolled resource management. The following section introduces a workflow plugin focused on performance.

Plugin Positioning

satan9394/dsh-performance is a DSH plugin maintained by satan9394 and positioned as a performance optimization toolkit. It addresses the “blind tuning” problem in agent development. Through mechanisms such as measurement first, bottleneck identification, and cache lazy loading, it helps developers establish performance budgets.

Core Capabilities

This plugin includes the following verified capabilities:

  • Performance Optimization: Provides a toolchain for overall performance tuning.
  • Measurement First: Performs quantitative testing before code changes.
  • Bottleneck Identification: Helps developers identify the specific stage causing performance degradation.
  • Cache Lazy Loading: Optimizes resource loading strategies and avoids unnecessary resource usage.
  • Performance Budgets: Sets upper limits for performance metrics to prevent performance degradation.

Installation and Deployment

This plugin currently does not provide an official installation command. To use it, visit the GitHub repository to obtain the source code, and deploy it following the standard process for DSH plugins.

Notes

  • Permissions: The plugin runs with the permissions of the current DSH process. Ensure that the environment is secure.
  • License: The license information for this plugin is not public (license is null). Before installation, check the source code and license agreement to ensure compliance with usage requirements.

Summary

satan9394/dsh-performance provides a closed-loop performance optimization toolkit, covering everything from measurement to budget management. For developers who care about agent response speed and resource consumption, this is a useful implementation to reference. For more details, see the plugin catalog page or the GitHub repository.