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dsh-water-resist

Model Inference Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-water-resist

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install uckkk/dsh-water-resist in the terminal to install the plugin; the source is available at https://github.com/uckkk/dsh-water-resist.

About this plugin

Water-resistance ratings on watches and jewelry span from 3ATM to 30ATM, yet most owners cannot confidently say how much pressure their piece truly withstands or which everyday habits quietly weaken the seal. dsh-water-resist turns that uncertainty into a single parameter call: pass in the rating and receive a tailored care plan for your watch or jewelry, without digging through manuals or searching online.

The core capability lives in one tool, water_resist. It accepts the resistance rating and related parameters, then returns structured maintenance guidance covering daily wear, cleaning methods, and scenarios to avoid such as high-temperature steam. The entire plugin is written in pure Node.js with zero network dependencies, so it runs reliably in offline or air-gapped environments where data privacy matters.

Whether you are a horology enthusiast, a jewelry-care professional, a DIY watch-maintenance hobbyist, or a developer embedding water-resistance care guidelines into a model-inference pipeline, this lightweight plugin is ready to use the moment it is installed, turning professional care knowledge into a single line of code.

Use Cases

  • Looking up daily care restrictions for a specific watch water-resistance rating
  • Obtaining water-related cleaning guidance for jewelry in an offline environment
  • Integrating water-resistance parameters into a model-inference pipeline to auto-generate care plans

Best For

  • Watch and jewelry enthusiasts
  • Developers needing offline care-recommendation tools
  • Engineers embedding maintenance knowledge into inference pipelines