In the DeepSeek Harness (DSH) plugin ecosystem, moving computation logic to the client side is one way to improve response efficiency. The dsh-credit-card-installment plugin provides a local computation solution that does not require network requests, for handling credit card installment scenarios.
This is a client-side plugin maintained by uckkk, called Credit Card Installment Calculator. It is a pure Node.js implementation with no dependency on external network access, focusing on precise calculation based on parameters and returning detailed results with explanations.
Core Features¶
The plugin registers a tool named credit_card_installment. Its main capabilities include:
- Precise calculation based on parameters: Supports local calculation according to installment-related parameters.
- Detailed results and explanations: After calculation, outputs specific installment details and explanatory text.
- Pure local execution: Pure Node implementation with no network dependencies.
Installation and Activation¶
Install the plugin using the official command. After installation, the tool registered by this plugin can be called directly in conversations.
dsh plugin add github:uckkk/dsh-credit-card-installment
Dependency Requirements¶
Running this plugin requires the following peerDependencies version requirements:
@deepseek-ai/cordisversion must be^4.0.1or higher.@deepseek-ai/dsh-toolsversion must be>=0.1.0-rc.6.
Use Cases¶
Suitable for scenarios where credit card installment calculation results need to be obtained instantly within a conversational context. Because it is a pure local implementation, it can work normally even without network access.
Notes¶
- This plugin is open-sourced under the MIT license. Before using it, review the source code to confirm that its behavior meets expectations.
- Ensure that the host environment’s dependency versions satisfy the requirements above; otherwise, the plugin may fail to load correctly.
This plugin addresses the need for immediate assistance in credit card installment scenarios through local calculation. For more details, refer to the GitHub repository.