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dsh-goal

Workflow Updated 2026.09.15

Run the following command in DeepSeek Harness:

dsh plugin install GooDAnDReaDY/dsh-goal

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

Run dsh plugin install GooDAnDReaDY/dsh-goal in your DeepSeek Harness terminal to install the plugin, and visit https://github.com/GooDAnDReaDY/dsh-goal for full documentation.

About this plugin

Complex engineering tasks routinely exceed what a single conversational turn can handle. Traditional agent interactions stumble under the weight: context drifts away between turns, passive loops idle without forward motion, and users are forced to repeatedly hand-prompt the process forward. dsh-goal introduces a full autonomous goal execution engine to DeepSeek Harness, decomposing high-level intent into sequenced milestones that the agent drives forward one by one without requiring manual re-engagement at every step.

The core experience centers on a persistent sticky top banner: a live elapsed timer, a status badge, and one-tap pause/resume controls are always in view. Under the hood, the engine provides a milestone state machine, ETA estimation based on completion velocity, token usage accumulation with Markdown export, a consecutive tool-failure circuit breaker, git checkpoint snapshots with one-click rollback, native browser push notifications, and Web Audio chimes for completion or failure. The agent interacts with the engine through three tool contracts — goal_set_milestones, goal_update_progress, and goal_finish — while also shadowing DSH built-in tools (update_goal, get_goal, create_goal) so that different model backends plug in without friction.

This plugin suits developers working complex engineering scenarios inside DeepSeek Harness — fixing bugs, YAGNI refactors, test coverage, code review, security audits, dependency upgrades, dead-code cleanup, performance tuning — anyone who wants the agent to autonomously run a full workflow while keeping progress transparent and interruption under their control.

Use Cases

  • When the agent must autonomously drive multi-turn complex engineering tasks
  • When milestone progress visualization with instant pause and resume is needed
  • When token budget tracking and git checkpoint rollback are required for production work

Best For

  • Developers doing complex engineering work inside DeepSeek Harness
  • Users who need agents to run full workflows autonomously with transparent progress
  • Heavy agent users who care about token budgets and safety circuit breakers