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dsh-anxiety-check

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-anxiety-check

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

Run dsh plugin install uckkk/dsh-anxiety-check in DeepSeek Harness to install this plugin; the source repository is https://github.com/uckkk/dsh-anxiety-check .

About this plugin

In everyday conversations people often quietly build up stress without a lightweight way to check in on their emotional state. dsh-anxiety-check is built for exactly that moment. As a client-side plugin for the DeepSeek Harness it registers a tool called anxiety_check inside your session. When you invoke it with your parameters it returns a clear, actionable self-assessment suggestion, giving you an immediate, low-friction nudge on how you might be feeling and what to try next.

Under the hood the entire plugin is a pure Node implementation with zero network dependencies. It runs locally, responds instantly, and stays out of the way, making it ideal for air-gapped setups or environments where external API calls are restricted. There is no server to deploy and no database to maintain; once the plugin is installed you simply call the tool in conversation and get an answer right away.

It is a good fit for two audiences: developers who want to drop a quick emotion check-in step into an existing workflow, and everyday users who need a fast, private way to gauge their anxiety level without leaving the chat window. As always the content it provides is for reference only and is not a substitute for professional mental-health care. Think of it as a small mirror you can glance at whenever you sense it is time to pause and breathe.

Use Cases

  • Trigger an anxiety self-assessment mid-conversation for instant emotional reference.
  • Perform an emotion check in air-gapped or intranet environments with no network needed.
  • Insert a quick emotional check-in step into an existing workflow.

Best For

  • Everyday users who want to quickly gauge their anxiety level in conversation.
  • Developers who need a mental-health check in offline or restricted-network settings.
  • Harness users who want to embed an emotional check-in into automated pipelines.