dsh-verify-judge
Run the following command in DeepSeek Harness:
dsh plugin install zriyox/dsh-verify-judge
Paste the following prompt into your AI chat to install this plugin:
Install by running dsh plugin install zriyox/dsh-verify-judge in DeepSeek Harness; source code is available at https://github.com/zriyox/dsh-verify-judge
About this plugin
Autonomous goal loops let an AI agent run many rounds on its own, but the moment it says "I'm done" has always been pure self-declaration — a model can stamp complete while tests are still red. dsh-verify-judge closes that trust gap: it turns marking a goal complete from a chat statement into a gated action with an objective pass/fail gate.
The mechanism is straightforward. When the agent calls update_goal(complete), the plugin first runs the project's test suite (auto-detected or explicitly configured). Red tests mean the completion is denied, and the failing command output is fed back to the agent as instructions to keep fixing. Version 0.2.0 adds a turn-end gate: even if the agent tries to skip the formal stamp and simply declare done in prose, the plugin re-verifies at the turn boundary and sends it back to work. When everything genuinely passes, the agent never notices the plugin exists; when it tries to cut corners, it gets bounced back — twice by default, then stopped.
It is built for developers running DeepSeek Harness in goal mode who let an agent autonomously complete multi-step tasks. If your agent occasionally turns in half-finished work early, this plugin adds an objective completion standard with minimum intrusion — no prompt changes, no workflow restructuring. Enable the row and the gate goes live; disable it and behavior returns to stock.
Use Cases
- Back an agent completion claim in autonomous goal loops with passing test evidence
- Prevent premature completion stamps while the test suite is still red
- Insert an objective pass or fail check into unattended multi-round agent workflows
Best For
- Developers running DeepSeek Harness goal mode to let an agent complete multi-step tasks
- Teams that require hard quality gates on agent deliverables and want objective verification
- Solo developers adding a local test gate to agent-driven workflows
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