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Disaster-Terminator
Disaster-TerminatorCOMMUNITY
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review-workflow

Fetch, categorize, fix, test, and resolve pull request review comments.

5|1|Updated Feb 4, 2026
Search Tags:#automation#workflow#developer tools#code review#pull request#github
One-click install
npx skills add https://github.com/Disaster-Terminator/RewardsCore --skill review-workflow-disaster-terminator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-workflow
Source: https://github.com/Disaster-Terminator/RewardsCore/tree/main/.trae/skills/review-workflow
Command: npx skills add https://github.com/Disaster-Terminator/RewardsCore --skill review-workflow-disaster-terminator

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the entire process of addressing code review comments on pull requests, ensuring a complete and closed loop from identification to resolution.

Core Features & Use Cases

  • Automated Comment Fetching: Retrieves PR numbers and associated review comments.
  • Intelligent Categorization: Classifies comments based on severity (must fix, suggestion).
  • Code Fixes & Acceptance Testing: Integrates with acceptance-workflow to verify fixes.
  • Automated Resolution: Uses CLI commands to mark comments as fixed, rejected, or false positives.
  • Use Case: When a PR has several review comments, this Skill can automatically fetch them, help categorize them, guide the developer in fixing them, run automated tests to confirm the fixes, and then automatically resolve the comments in the PR interface.

Quick Start

Use the review-workflow skill to process all pending comments on the current pull request.

Frequently Asked Questions about review-workflow

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

FAQPage Schema
How do I automate resolving code review comments on GitHub pull requests?▼

Automating code review comment resolution on GitHub pull requests involves fetching PR comments, categorizing issues by severity, applying fixes, running acceptance tests, and marking comments as resolved via CLI commands to ensure a closed-loop workflow.

How does automated pull request comment categorization work?▼

Automated pull request comment categorization works by fetching review feedback via CLI and classifying issues by severity, such as must fix or suggestion, to guide subsequent code fixes and acceptance testing.

Do I need the python-github-cli to automate PR review workflows?▼

Yes, the python-github-cli dependency is required to execute the CLI commands that fetch PR numbers, retrieve review comments, and automatically resolve them in the GitHub interface.

Can I run automated acceptance testing after fixing code review suggestions?▼

Yes, you can run automated acceptance testing after fixing code review suggestions by integrating with an acceptance-workflow component to verify fixes before automatically resolving the comments.

What is the best way to ensure a closed loop for GitHub PR code review feedback?▼

The best way to ensure a closed loop for GitHub PR code review feedback is to automate the end-to-end process: fetch comments, categorize severity, apply fixes, verify with tests, and resolve comments via CLI commands.

What are the limitations of automating pull request review comment resolution?▼

Limitations of automating pull request review comment resolution include reliance on the python-github-cli for execution and the need to integrate with an acceptance-workflow component to fully verify code fixes before final resolution.

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