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dsh-anchored-subagent

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install GY-Bai/dsh-anchored-subagent

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

Run dsh plugin install GY-Bai/dsh-anchored-subagent to install the plugin; the full source is available at https://github.com/GY-Bai/dsh-anchored-subagent. After installation, restart DSH and select the dsh-anchored-subagent preset in your session to activate it.

About this plugin

DeepSeek was RL-trained under a specific Minimal condition: only bash and str_replace_editor visible, paired with a one-line persona. A typical DSH session, however, ships with the full tool catalog and a verbose system prompt, which can pull the model away from the "We need..." reasoning trajectory it was most strongly optimized for. dsh-anchored-subagent solves this with a "secret handshake": both the main agent and every inherited subagent start on that exact Minimal bootstrap, then seamlessly unlock the complete toolbox after the first meaningful turn.

The plugin installs as an agent preset that DSH composes into the parent session and each child subagent automatically. On request #1 the model sees only bash and str_replace_editor with a terse Minimal persona; once the first durable tool-call or assistant message lands, the full tool catalog and any pre-configured subagent persona are restored. The promotion trigger (tool-call, assistant-message, or either) and other details such as suppressed context sources are all tunable in agent.cordis.yml, so no manual prompt engineering is required.

Ideal for DSH users who frequently spawn subagents, delegate multi-step tasks, or simply want their main agent to open every conversation in DeepSeek's optimal reasoning regime. Select the preset and the bootstrap is in effect — zero configuration, immediate benefit for multi-agent workflows.

Screenshots

Use Cases

  • Main agent and subagents both boot on the Minimal RL-trained condition in multi-agent workflows
  • Subagents begin delegation tasks with the strongest reasoning trajectory on their first turn
  • Every DSH session gets a zero-config bootstrap that auto-promotes to the full tool catalog after the first durable call

Best For

  • Power users who frequently spawn subagents within DSH
  • Developers who want the main agent to start each conversation in DeepSeek's optimal reasoning regime
  • Multi-agent workflow practitioners looking for zero-config bootstrap with no manual prompt engineering