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dsh-approval-assistant_0neKbyte

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install 0neKbyte/dsh-approval-assistant_0neKbyte

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

To install this plugin in DeepSeek Harness, run the command: dsh plugin install 0neKbyte/dsh-approval-assistant_0neKbyte, or visit the GitHub repository at https://github.com/0neKbyte/dsh-approval-assistant_0neKbyte for source code.

About this plugin

In automated workflows, approval processes often become efficiency bottlenecks: users may miss notifications, manual approvals consume time, or model queries delay responses. The approval assistant plugin offers an all-in-one solution for DeepSeek Harness, streamlining approval tasks through smart reminders and automation.

Its core capabilities include real-time approval reminders (with pop-ups, system notifications, and custom sounds), flexible auto-approval (either full pass or rule-based matching by keywords), and completion or question reminders to keep users informed of approval statuses and model interactions. All features are independently configurable to suit various scenarios.

This plugin is ideal for users developing complex workflows with DeepSeek Harness, such as developers, team managers, or automation enthusiasts who need to manage tool approvals efficiently, minimize manual intervention, and maintain transparent oversight of processes. Whether in development, testing, or production environments, it enhances workflow smoothness and reliability.

Use Cases

  • Get real-time reminders via pop-ups or sounds when handling tool approval requests to avoid missing them.
  • Set auto-approval rules in automated workflows to reduce manual intervention.
  • Automatically display question content in pop-ups when the model asks for user input, speeding up interaction responses.

Best For

  • Programmers developing workflows with DeepSeek Harness.
  • Project managers overseeing team approval processes.
  • DevOps engineers seeking to boost efficiency in automated tasks.