dsh-motor-current: Motor Current Calculation
The DeepSeek Harness (DSH) plugin dsh-motor-current is dedicated to local motor current calculations. It is implemented in pure Node.js and does not rely on network access. Through the `motor_current` tool, the plugin performs precise calculations based on input parameters and returns the results. It can be installed by running `dsh plugin add github:uckkk/dsh-motor-current` and is automatically registered after installation. The plugin is intended for engineering numerical computation scenarios, depends on specific versions of `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools`, runs with the current process permissions, and is licensed under the MIT License.
Read Moredsh-fuel-cost: Fuel Cost Calculation
DeepSeek Harness (DSH) supports feature extension through a plugin mechanism, and the `dsh-fuel-cost` plugin provides precise parameter-based fuel-cost calculation. Maintained by uckkk, the plugin registers the `fuel_cost` tool for sessions. The installation command is `dsh plugin add github:uckkk/dsh-fuel-cost`, and after installation, it can be called directly to obtain detailed calculation results. The plugin is implemented in pure Node.js, has no network dependencies, and is released under the MIT license.
Read Moredsh-charge-time: Charging Time Estimation Plugin
`dsh-charge-time` is a pure Node.js tool plugin maintained by uckkk, designed to provide precise charging-time estimation for DeepSeek Harness (DSH). The plugin is based on online data, has no network dependency at runtime, and is suitable for invocation as a tool in DSH sessions. Installation requires the environment dependencies `@deepseek-ai/cordis` ^4.0.1 and `@deepseek-ai/dsh-tools` >=0.1.0-rc.6. Users can add the plugin using the official command. After installation, it automatically registers the `charge_time` tool, supporting precise calculations based on parameters. The plugin runs with the permissions of the current process, follows the MIT license, and is suitable for physical calculations or specific estimation logic.
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