Introduction¶
DeepSeek Harness (DSH) provides plugin-based extensibility. When developing agents or business logic, if a specific computational task needs to be executed, running code directly in the local Node.js environment is often more efficient and stable than relying on external network services. For the specific use case of calculating the number of lamps, the community provides a native computation plugin with no network dependencies.
Plugin Overview¶
dsh-lamp-count is a DeepSeek Harness plugin maintained by developer uckkk and categorized as a network-enabled tool. It focuses on providing accurate calculation of lamp counts.
Core Features¶
This plugin implements the following core capabilities:
- Lamp Count Calculation: Supports precise calculation based on parameters and returns detailed results.
- Pure Node Implementation: The underlying logic is written in native Node.js.
- No Network Dependencies: At runtime, it does not call external APIs, reducing latency and failure risk.
Installation and Dependencies¶
Before installation, ensure the current environment satisfies the plugin’s dependencies.
Installation Command¶
Run the following command in your terminal to install the plugin:
dsh plugin add github:uckkk/dsh-lamp-count
Environment Dependencies¶
This plugin relies on the following peer dependencies:
@deepseek-ai/cordis: The version must satisfy^4.0.1.@deepseek-ai/dsh-tools: The version must satisfy>=0.1.0-rc.6.
Usage¶
After installation, the plugin will register the corresponding tool in the current session. Invoke the tool registered by this plugin and pass the required parameters to obtain the lamp count calculation result.
Notes¶
- Permissions and Security: The plugin runs within the DSH process context. It is recommended to review the source code before use to confirm that its behavior meets expectations.
- Version Compatibility: Before installation, verify that the local versions of
@deepseek-ai/cordisand@deepseek-ai/dsh-toolsmeet the requirements.
Conclusion¶
dsh-lamp-count provides DSH users with a lightweight solution for lamp count calculation, suitable for scenarios that require local, network-independent computational capabilities.