dsh-bmi-adjust
Run the following command in DeepSeek Harness:
dsh plugin install uckkk/dsh-bmi-adjust
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install uckkk/dsh-bmi-adjust inside DeepSeek Harness to install this plugin. The full source repository is available at https://github.com/uckkk/dsh-bmi-adjust .
About this plugin
In an agent workflow, "I want to lose weight" is often just a vague starting point. Turning that wish into an actionable plan requires someone to do the heavy lifting of calculation and decomposition. dsh-bmi-adjust is a lightweight tool built for exactly that: it wraps a parameterized weight-loss plan breakdown into a single callable agent tool, so conversations and pipelines skip generic advice and produce concrete numerical results.
The core capability lives in one tool, bmi_adjust: pass in height, weight, target, and other parameters, and it calculates precisely according to its built-in rules, returning a structured, detailed breakdown. The entire implementation is pure Node with zero network dependencies, making invocation instant and deployment trivially simple, with no extra configuration needed to plug it into an existing workflow pipeline.
It suits developers building health-oriented agent applications, small teams who want to move BMI-related calculations out of spreadsheets and into conversations, and individuals who prefer "compute and use it" over "read a blog post". In one line: it does not give you advice; it gives you numbers.
Use Cases
- A user asks the agent how to structure a weight-loss plan in conversation
- A workflow needs precise BMI calculation and plan decomposition by parameters
- An automation pipeline converts health data into actionable steps
Best For
- Developers building health-oriented agent applications
- Small teams moving BMI calculations into conversations
- Individuals who want instant computed results without spreadsheets
Related Plugins
A method pack that makes AI coding agents plan against your real baseline, prove completion with fresh evidence, and reduce reworks and unsafe changes.
Turns the DeepSeek Harness session into a captain that builds a durable sub-agent team, splits goals into dependency-aware tasks, and coordinates work via direct messages and a live Web UI.
Gives coding agents design judgment, letting Claude Code, Cursor, and 70+ agents generate and iterate high-quality UI, presentations, and graphics right from the terminal.
Run the Pi ecosystem's plugins on DeepSeek Harness, unmodified, via a compatibility layer that implements Pi's public extension ABI on DSH's native services.