Introduction¶
When developing DeepSeek Harness (DSH) agents, handling specific business logic (such as laundry advice) requires explicit tool support. Existing generic tools may not directly provide this kind of advice. DSH uses an “everything is a plugin” architecture, allowing developers to quickly extend capabilities by introducing community plugins.
Plugin Introduction¶
dsh-laundry-temp is a DSH plugin maintained by uckkk, focused on providing laundry water temperature advice. It returns clear operational recommendations based on input parameters, helping agents make accurate decisions in relevant scenarios.
Core Features¶
The plugin provides the following core capabilities:
- Returns explicit recommendations based on parameters: Provides a specific laundry water temperature solution based on input parameters.
- Pure Node implementation with no network dependencies: Does not require external network access at runtime, reducing runtime uncertainty.
Installation and Enablement¶
Before installing, ensure the DeepSeek Harness (DSH) environment is installed.
- Run the following command to install the plugin:
dsh plugin add github:uckkk/dsh-laundry-temp
- After installation, the plugin automatically registers the corresponding tool.
Typical Usage¶
After installation, invoke the tool registered by the plugin in a session. The tool name is laundry_temp.
Applicable Scenarios and Cautions¶
Suitable for agent scenarios that require laundry-related temperature advice.
- Dependency Requirements: Running this plugin requires the following version dependencies:
@deepseek-ai/cordis:^4.0.1@deepseek-ai/dsh-tools:>=0.1.0-rc.6
- Runtime Environment: The plugin runs with the permissions of the current DSH process. It is recommended to review the source code and license (MIT) before installation.
Summary¶
By introducing dsh-laundry-temp, agents can quickly receive professional laundry water temperature advice without additional network requests. For more plugin details, visit the SkillHub Directory or view the GitHub Repository.