Introduction¶
In the plugin ecosystem of DeepSeek Harness (DSH), agent developers often need to adjust conversation or behavior logic based on environmental parameters. For the specific parameter of “lighting environment,” developer uckkk provides the dsh-light-need plugin. This tool does not rely on external network access and provides local reference suggestions for lighting parameters, making it easier for agents to obtain explicit values or recommendations during a session.
Plugin Positioning¶
This is a tool named “Lighting Requirement Reference,” classified under the network tool category. The current project version is 0.1.0, and the open-source license is MIT. It is implemented purely in Node.js and aims to provide local querying capability for environmental parameters in DSH sessions.
Core Functionality¶
The core capability of this plugin is to return clear lighting requirement reference suggestions based on provided parameters. Developers do not need to configure complex network requests; they only need to invoke the tool registered by the plugin within a session to obtain suggestions.
Installation and Activation¶
To install the plugin, use the DSH command-line tool. Run the following command to add it:
dsh plugin add github:uckkk/dsh-light-need
After successful installation, the plugin will automatically take effect in the current DSH session.
Usage¶
After installation, directly invoke the tool registered by the plugin within the session. According to the project documentation, the tool name is light_need; after providing the corresponding parameters, you can obtain lighting suggestions.
Use Cases and Notes¶
This plugin is suitable for agent development scenarios that require lighting environment reference information in conversations. Since the plugin is implemented purely in Node and has no network dependency, it can also be used normally in offline environments.
Before installation, it is recommended to review the source code and license. The plugin runs with the permissions of the current DSH process, so ensure that you fully trust the source of the code.
Conclusion¶
This tool provides a lightweight, network-independent reference solution for agents handling lighting environment parameters. For more technical details and source code, you can visit its GitHub repository or community catalog page.