dsh-step-goal
Run the following command in DeepSeek Harness:
dsh plugin install uckkk/dsh-step-goal
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install uckkk/dsh-step-goal in DeepSeek Harness to install this plugin; source repository: https://github.com/uckkk/dsh-step-goal
About this plugin
Whenever you need to derive step count or stride length from parameters such as distance and step length inside a conversational workflow, you typically break out of the chat to do manual math or whip up a quick throwaway script. dsh-step-goal brings that calculation directly into the conversation: register the step_goal tool, pass in your parameters, and get an accurate result without ever leaving the session.
The plugin is built entirely in Node.js with zero network dependencies. No external services are called; every computation runs locally, and the output is returned in a clear, detailed format that is easy to further process or display in a downstream step.
If you frequently build running or walking training plans, validate exercise data, or simply want a quick step-count or stride-length conversion right inside a chat flow without reaching for a calculator or a one-off script, this lightweight plugin fills that gap nicely.
Use Cases
- Quickly converting step count and stride length when building running or walking training plans
- Validating stride and distance data returned by fitness apps or wearable sensors
- Performing instant parameter-based math on distance and step length within a chat workflow
Best For
- Developers who regularly work with running or walking training data
- Integration engineers embedding calculation logic into chat-based workflows
- Researchers validating accuracy of exercise-device metrics
Related Plugins
A unified suite combining hot runtime injection, task-aware thinking-mode routing, and a graded session protocol with red-team gates to sustain model diligence across long-horizon inference.
ModLens is a vision plugin for DeepSeek Harness that gives text-only models sight by reading images pasted directly into chat, with zero-config setup and multiple vision engines.
On-demand vision for text-only DeepSeek Harness agents: built-in free keyless vision chain and 14 vision tools, routing image turns as tool calls to vision models with pixel fidelity, no Python needed, one-command install.
Give text-only models in DeepSeek Harness eyes, enabling image Q&A, long-screenshot OCR, UI restoration, and GUI visual tasks.