Introduction¶
The core design philosophy of DeepSeek Harness (DSH) is “everything is a plugin.” When building an agent, if you need to run specific local logic without relying on network requests, plugins are the standard solution. dsh-bike-safe is a tool focused on local computation and does not depend on external APIs.
Plugin Overview¶
Name: dsh-bike-safe
Maintainer: uckkk
Purpose: Cycling safety tool
Implementation: Pure Node implementation, no network dependency
License: MIT
The plugin returns a cycling exercise plan based on parameters, suitable for scenarios that require processing related data locally.
Installation and Activation¶
Use the following command to install the plugin:
dsh plugin add github:uckkk/dsh-bike-safe
After installation, simply invoke the tool registered by the plugin in the session.
Core Features¶
The plugin provides the following core capabilities:
- bike_safe: A cycling safety tool. Returns a cycling exercise plan based on input parameters.
- Runtime environment: Pure Node implementation, no network requests; computes directly locally.
Dependencies and Notes¶
Before installing, ensure your environment meets the following dependency requirements:
@deepseek-ai/cordis: version must satisfy^4.0.1@deepseek-ai/dsh-tools: version must satisfy>=0.1.0-rc.6
The plugin runs with the permissions of the current DSH process. Please check the source code and license before use.
Ecosystem and Links¶
This plugin is listed in the community directory and has no official affiliation with DeepSeek / Huanfang.