In the plugin ecosystem of DeepSeek Harness (DSH), handling specific business logic often requires providing computational capabilities for particular scenarios. For the exam preparation planning scenario, the dsh-gaokao-split plugin provides a solution for precisely calculating exam preparation time based on parameters.
Plugin Introduction¶
dsh-gaokao-split is a pure Node.js DSH workflow plugin maintained by uckkk. It does not depend on network access and focuses on solving the problem of breaking down exam preparation time.
Core Features¶
The plugin provides the following core capabilities:
- Exam preparation time breakdown: Breaks down exam preparation time based on input parameters.
- Parameter-based precise calculation: Supports precise calculations based on parameters.
- Detailed result return: Outputs structured and detailed calculation results.
Installation and Enablement¶
- Ensure that your local environment satisfies the peerDependencies requirements:
@deepseek-ai/cordis^4.0.1@deepseek-ai/dsh-tools>=0.1.0-rc.6
- Run the installation command:
dsh plugin add github:uckkk/dsh-gaokao-split
After installation is complete, the plugin registers the corresponding tools in the session, and they can be invoked directly.
Usage¶
In a DSH session, call the tools registered by this plugin. The tools will break down exam preparation time based on the input parameters and return detailed results.
Applicable Scenarios and Notes¶
- Applicable scenarios: Suitable for scenarios that require breaking down exam preparation time.
- Technical notes: Since it is implemented in pure Node.js and has no network dependencies, ensure that the runtime environment supports Node.js core modules. It is recommended to review the source code and license (MIT) before use.
With its pure Node.js implementation and lack of network dependencies, this plugin provides basic computational capabilities for exam preparation planning. For more details, refer to the plugin directory or the source code repository.