The design philosophy of DeepSeek Harness (DSH) is “everything is a plugin.” When an agent needs to handle specific business logic or numerical calculations (for example, evaluating the reasonableness of a large purchase), directly integrating validated tools is more reliable than having the model compute directly.

Plugin Positioning

dsh-big-purchase is a DSH plugin maintained by uckkk and categorized under model reasoning. It encapsulates large-purchase decision logic as invocable tools, supports precise calculations based on parameters, and returns detailed results. The plugin is implemented in pure Node.js and does not rely on external networks.

Core Features

  • big_purchase: Provides large-purchase decision capabilities. After the user passes parameters, the plugin performs calculations and returns detailed results.
  • No network dependency: Implemented in pure Node.js, it can run locally and does not consume external network resources.

Installation and enablement

Before use, ensure that the environment satisfies the following dependencies:
* @deepseek-ai/cordis (version >= 4.0.1)
* @deepseek-ai/dsh-tools (version >= 0.1.0-rc.6)

Run the following command to install the plugin:

dsh plugin add github:uckkk/dsh-big-purchase

After installation, the plugin registers the corresponding tools in the current DSH process, and the session can call them directly.

Typical usage

After installation, invoke the tools registered by the plugin within the session.

Applicable scenarios and considerations

  • Applicable scenarios: Suitable for scenarios that require adding consumption analysis, budget evaluation, or similar logic to an agent’s decision-making process.
  • Permissions and security: The plugin runs with the permissions of the current DSH process. It is recommended to review the source code before installation and confirm that its behavior matches expectations.
  • License: Released under the MIT License.

This plugin provides DSH with localized decision-making calculation capabilities, making it convenient to use in environments without network access. For more details, refer to the plugin catalog page or the GitHub repository.