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dsh-plugin-agent-dashboard

Workflow Updated 2026.08.14

Run the following command in DeepSeek Harness:

dsh plugin install YYTbit/dsh-plugin-agent-dashboard

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

Run dsh plugin install YYTbit/dsh-plugin-agent-dashboard in your DeepSeek Harness terminal to add this multi-agent dashboard skill; the full source is available at https://github.com/YYTbit/dsh-plugin-agent-dashboard.

About this plugin

When orchestrating multi-agent workflows inside DeepSeek Harness, a common frustration is that tasks scatter across many execution nodes. You end up querying each node one by one, with no single view answering who is running, who is blocked, and who is waiting on upstream dependencies. dsh-plugin-agent-dashboard addresses exactly this gap by teaching the agent to produce a structured status report that consolidates all runtime information into one unified summary.

The core capabilities span four dimensions: agent status tracking (running, done, blocked), task dependency visualization, progress indicators, and time tracking. You simply ask in natural language, for example requesting a progress update on a particular agent or a full team overview, and the agent responds with a consistently formatted report, eliminating the need for extra scripts or external dashboards.

This plugin is well suited for developers who schedule multiple agents in parallel to drive complex pipelines within DeepSeek Harness. If your workflow involves dependency orchestration, requires real-time visibility into overall progress, or benefits from embedding status updates directly into the conversation flow, it saves you the overhead of repeatedly polling each node.

Use Cases

  • Pull a single overview of all running agents and blocked nodes during parallel execution
  • Trace which upstream dependency is not yet complete and is stalling downstream tasks
  • Generate a team-level progress report inside the conversation without polling each node manually

Best For

  • Developers orchestrating multi-agent pipelines inside DeepSeek Harness
  • Engineering teams that need real-time visibility into parallel task progress and dependencies
  • Engineers who prefer status reporting embedded in the conversation over external dashboards