Introduction¶
The core design philosophy of DeepSeek Harness (DSH) is “everything is a plugin.” When building agents or developing session logic, introducing plugins allows developers to quickly reuse specific tool capabilities without reinventing the wheel. This article introduces the dsh-mask-frequency plugin, which focuses on providing parameter-based decision recommendations.
Plugin Positioning¶
dsh-mask-frequency is a DSH plugin classified under “Fun Dress-Up.” Its core function is “Mask Frequency,” which returns explicit recommendations based on input parameters through a tool named mask_frequency. The plugin is implemented entirely in pure Node.js and requires no network dependencies at runtime.
Installation and Dependencies¶
Before installing, ensure that your environment satisfies the following dependencies:
@deepseek-ai/cordis(version ^4.0.1)@deepseek-ai/dsh-tools(version >=0.1.0-rc.6)
The installation command is as follows:
dsh plugin add github:uckkk/dsh-mask-frequency
After installation, the plugin automatically registers its tools and loads them into the current DSH process.
Usage¶
After installing and enabling the plugin, you can call the tools registered by the plugin in a DSH session. The exact invocation method depends on your DSH configuration and context. The plugin itself is only responsible for processing logic based on the received parameters and outputting recommendations.
Notes¶
The plugin is licensed under the MIT license. Because it runs with the permissions of the current DSH process, it is recommended to review the source code via the provided GitHub link before installation and confirm that the logic is secure and meets your requirements before deployment.
Conclusion¶
The above describes the core features and usage of dsh-mask-frequency. For more details or troubleshooting, you can consult the community directory or the GitHub repository.