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dsh-fear-pet

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-fear-pet

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

Run dsh plugin install uckkk/dsh-fear-pet in DeepSeek Harness to install this plugin; the source is available at https://github.com/uckkk/dsh-fear-pet.

About this plugin

When fear or anxiety hits, what you really need is not a wall of text but a single, concrete, actionable prompt. dsh-fear-pet was made for exactly that moment: it plugs into your model-inference chain, takes the parameters you pass in, and returns a targeted behavior-correction suggestion, turning the question of what to do next into a step you can actually follow.

Its core capability is deliberately narrow: accept parameters, output advice, nothing more. Implemented in pure Node.js with zero network dependencies, it runs fully offline, keeps your data on-device, and never breaks because of a dropped connection. For anyone who wants to embed an emotion-intervention stage into a local inference pipeline, it is a drop-in module with no extra configuration.

Who is it for? If you are building a local LLM application and want a built-in calm-and-guide step in the flow, or if you personally deal with mild anxiety and want a tool you can call on demand without sending data to the cloud, dsh-fear-pet slots right in. MIT licensed, so you are free to use it anywhere.

Use Cases

  • Embedding an emotion-intervention step into a local inference chain
  • Quickly getting an actionable behavior correction tip during anxiety
  • Calling an emotion-soothing tool without network access

Best For

  • Developers building local LLM apps who need a built-in calming step
  • Privacy-sensitive users who want data to never leave the device
  • Integrators looking for a lightweight zero-config emotion module