prp-review-fix

Apply fixes to PR review issues and validate them through iterative cycles.

2|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/gobikom/prp-framework --skill prp-review-fix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prp-review-fix
Source: https://github.com/gobikom/prp-framework/tree/main/adapters/codex/prp-review-fix
Command: npx skills add https://github.com/gobikom/prp-framework --skill prp-review-fix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, github, python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the loop of fixing issues found in a PR review and validating the fixes, ensuring consistent code quality and reducing manual effort.

Core Features & Use Cases

  • Automated Fix Loop: Applies fixes to all issues from a PR review artifact, validating them through iterative cycles.
  • Validation Suite: Runs a full validation suite including type-checks, lints, and tests to ensure fixes don't introduce regressions.
  • Use Case: Ideal for developers and DevOps teams who want to streamline the PR review and merge process, ensuring high code quality and reducing manual intervention.

Quick Start

Run the prp-review-fix skill with the PR number and optional flags: /prp-review-fix <pr-number> [--severity critical,high,medium,suggestion] [--single-pass] [--max-rounds N]

Frequently Asked Questions about prp-review-fix

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate PR review fixes in a CI/CD pipeline?

You can automate the PR review fix loop by running an iterative cycle that applies fixes to review issues and validates them with type-checks, lints, and tests. This ensures consistent code quality and reduces manual effort in CI/CD workflows.

What is an automated fix loop for pull request reviews?

An automated fix loop is a process that applies fixes to issues found in a PR review artifact and validates them through iterative cycles. It runs a full validation suite to prevent regressions and maintain code quality without manual intervention.

How do I run validation suites after applying code review fixes?

Run the validation suite after applying fixes to execute type-checks, lints, and tests. This ensures the applied changes do not introduce regressions and maintain the required code quality standards before merging.

Do I need Python and GitHub to automate iterative PR issue fixes?

Yes, automating the iterative PR issue fix loop requires Python-based libraries, git, and GitHub. These dependencies are necessary to interact with repositories, apply fixes, and validate code quality.

Can I limit automated PR review fixes to critical and high severity issues?

Yes, you can limit automated fixes by passing the severity flag with values like critical, high, medium, or suggestion. You can also use the single-pass flag to avoid iterative cycles and restrict the maximum number of rounds.

What are the limitations of using an automated loop for code review fixes?

The main limitation is the potential for iterative cycles to run excessively if fixes introduce new issues. You can manage this by setting a maximum number of rounds or using the single-pass flag to stop the loop after one validation cycle.