xby-review-code

AI-assisted development is everywhere, yet code quality assessment still lacks a structured, quantifiable approach. xby-review-code fills that gap: built on the Model Context Protocol, it does not call an LLM directly. Instead, it crafts high-quality, multi-dimensional review prompts that agents can reuse and compare across iterations.

The plugin supports three review granularities — full codebase, Git diff, and single file — each paired with scoring dimensions. Combined with the parse_review_score tool, it can extract a quantified result in the format 'total score: XX' from review text, closing the loop from prompt construction to score extraction.

If you are wiring code-quality gates into an agent workflow, embedding code review into an automation pipeline, or need multi-dimensional scores to compare alternative implementations, this plugin is ready to use. Simply grab an API key from the service provider portal and invoke it inside DeepSeek Harness.