Review code diffs for correctness, security, and spec alignment.
npx skills add https://github.com/MartinoPolo/mpx-claude-code --skill mp-review
Please help me install this Agent Skill. Skill: mp-review Source: https://github.com/MartinoPolo/mpx-claude-code/tree/main/skills/mp-review Command: npx skills add https://github.com/MartinoPolo/mpx-claude-code --skill mp-review
mp-review reduces the time spent performing consistent code reviews by automatically analyzing the requested scope (branch, changes, or PR) and producing a structured findings report, with an optional fix phase for low-risk issues.
Run the skill for a PR by requesting: mp-review scope=pr:#123 full autofix=true.
High-intent search queries and answers about installing and using this skill.
Automated code review analyzes branch diffs, uncommitted changes, or pull requests for correctness, security, and best practices. It produces a structured findings report and optionally applies low-risk autofixes via an executor agent.
Yes, static analysis and code review can be scoped directly to a GitHub pull request. The tool fetches the PR diff, runs parallel reviewers with strict finding classification, and outputs a structured REVIEW.md if issues are found.
The best way to autofix small findings is using a two-phase review workflow. After generating the initial review report, a conditional fix phase performs concrete, in-scope edits via an executor agent and re-reviews until issues are resolved.
Yes, the code review workflow supports TDD by checking spec alignment alongside correctness, security, and performance. It audits local diffs or branch changes against defined specifications to ensure implementation matches requirements.
You can balance thoroughness and speed by configuring reviewer coverage. A full reviewer set provides maximum thoroughness for branch diffs, while a partial or half set enables faster iteration during active development.
You should avoid automated autofix for complex or high-risk findings. The fix phase is conditional and restricted to small, in-scope, concrete edits; larger issues require manual intervention after reviewing the structured REVIEW.md output.
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