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yanxu-dsh-plugin

Client Updated 2026.09.14

Run the following command in DeepSeek Harness:

dsh plugin install guannan1031/yanxu-dsh-plugin

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

Run dsh plugin install guannan1031/yanxu-dsh-plugin to install the plugin (source: https://github.com/guannan1031/yanxu-dsh-plugin) into the current DSH profile, then restart that profile so the bundle layer takes effect.

About this plugin

AI code generation can produce large diffs in minutes, but the delivery steps around those diffs often lack structure: an agent may skip repository readiness checks, conflate a Draft PR with a merged one, or expose generated changes before a human reviews them. yanxu-dsh-plugin closes that gap by adding a single, loadable skill called yanxu-delivery-workflow to DeepSeek Harness, turning each AI-assisted coding task into an auditable, stage-gated pipeline.

The skill walks the agent through a defined sequence: run doctor and sign a task contract before any code is generated; establish an explicit source-file allowlist and a single test command for implementation; keep all generated changes in an isolated archive until a human approves; treat Draft PR, CI success, merge, and deployment as four distinct states; and measure efficiency claims only with real, quality-passing tasks. Every shell command is executed through the existing bash or pwsh tools inside the DSH sandbox, so the plugin never bypasses permissions, stores credentials, auto-merges, or deploys anything. The plugin supplies the workflow instructions; the DSH sandboxed toolchain does the actual work.

This plugin is aimed at developers and teams who already rely on DeepSeek Harness for daily work and want AI-assisted coding to leave a traceable evidence trail before code is merged. It does not replace DeepSeek Harness nor the Yanxu Dev host environment, which you still install in the target project. It simply adds one disciplined workflow entry point to the DSH skills catalog.

Use Cases

  • Keep AI-generated changes in an isolated archive until a human approves the merge
  • Treat Draft PR, CI success, merge, and deployment as four distinct gated states
  • Run coding and test tasks inside the DSH sandbox without bypassing permissions

Best For

  • Developers already using DeepSeek Harness for daily coding
  • Teams wanting a traceable evidence trail before AI-generated code is merged
  • Engineering leads orchestrating multi-stage delivery within sandbox constraints