Introduction¶
In the development practice of DeepSeek Harness (DSH), introducing domain-specific tool logic is a common way to extend agent capabilities. If you need to directly obtain a specific computed result within a session, rather than relying on external network calls, a plugin implemented purely in Node is a suitable solution. The following introduces the dsh-ferment-check plugin.
What This Is¶
dsh-ferment-check is a DSH plugin maintained by uckkk and classified under model inference. It focuses on providing fermentation assessment functionality and can return a specific dough-based food preparation plan based on input parameters. The plugin is implemented entirely in Node.js and does not depend on a network environment.
Core Features¶
The plugin mainly provides the following capabilities:
1. Fermentation assessment: Provides basic fermentation logic assessment.
2. Dough-based food preparation plan: Returns a detailed dough-based food preparation process based on parameters.
3. Local execution: Implemented purely in Node, with no network dependency, and offers fast execution.
Installation and Enablement¶
To install the plugin, run the official command:
dsh plugin add github:uckkk/dsh-ferment-check
After installation is complete, the plugin registers the corresponding tools in the current session and can be used by invoking them directly.
Typical Usage¶
After installation, call the tool registered by the plugin in the session.
Use Cases and Notes¶
The plugin is suitable for developers who need to quickly obtain dough-based food preparation plans or perform fermentation logic assessment locally. Before use, ensure that the environment meets the dependency requirements:
- @deepseek-ai/cordis must satisfy ^4.0.1.
- @deepseek-ai/dsh-tools must satisfy >=0.1.0-rc.6.
The plugin runs with the permissions of the current DSH process. Before installing, it is recommended to check the source code and license (MIT).
Short Ending¶
dsh-ferment-check provides a lightweight local tool integration method, avoiding network dependencies through a pure Node implementation. To view the directory or source code, visit the SkillHub directory or the GitHub repository.