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dsh-plugin-review

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install Mingxi2077/dsh-plugin-review

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

Run dsh plugin install Mingxi2077/dsh-plugin-review in the DeepSeek Harness terminal to install the review plugin; source code at https://github.com/Mingxi2077/dsh-plugin-review

About this plugin

Day-to-day development in DeepSeek Harness often lacks a quick, standardized way to gauge code quality. You finish a module, but is the structure sound? Are tests keeping pace? Any hidden security gaps? DSH Plugin Review turns “code health check” into a one-step action: drop in a project path or paste code, and get a programmatic 8-dimension score (structure, maintainability, consistency, robustness, tests, documentation, performance, security) rendered as an SVG radar chart that highlights weaknesses at a glance.

It goes beyond “you ask, it answers.” The plugin injects review discipline into the AI itself: after completing a module or a round of fixes, the model proactively triggers an audit, and if it finds error-level issues or a score below the passing line, it fixes and re-checks immediately. Review history is organised by time, project, or grade, with a 7-day trash bin and CSV export for trend tracking. The scan only reads the first 40 KB of each target file for statistics and never modifies source code.

Ideal for solo developers iterating rapidly inside DeepSeek Harness, or small teams who want to bake a quality gate into their AI conversation flow—no extra toolchain required, just restart and go.

Use Cases

  • Run a quick quality check after finishing a module or fix
  • Identify project weaknesses at a glance with an 8-dimension radar chart
  • Let the AI trigger an audit and auto-repair low-scoring issues after coding

Best For

  • Solo developers iterating rapidly inside DeepSeek Harness
  • Small teams wanting a quality gate embedded in their AI workflow
  • Tech leads who need a standardized code assessment process