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Euda1mon1a
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GitHub

check-codex

Fetch Codex AI review comments and priority levels for the current GitHub pull request.

Updated Aug 23, 2026
Search Tags:#automation#code review#pull request#github#codex#ai feedback
One-click install
npx skills add https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager --skill check-codex
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-codex
Source: https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager/tree/main/.claude/skills/check-codex
Command: npx skills add https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager --skill check-codex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the code review process by automatically fetching and presenting AI-generated feedback (Codex) on your current pull request, ensuring all suggestions are addressed before merging.

Core Features & Use Cases

  • Automated Feedback Retrieval: Fetches inline comments and reviews from the Codex bot.
  • Priority Parsing: Identifies and categorizes feedback into Critical (P1), Important (P2), and Suggestion (P3) levels.
  • Use Case: After pushing changes to your feature branch and creating a PR, run this skill to see exactly what the AI code reviewer has flagged, allowing you to prioritize and fix issues efficiently.

Quick Start

Run the check-codex skill to see pending AI feedback on your current pull request.

Frequently Asked Questions about check-codex

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

FAQPage Schema
How do I check AI code review feedback on a GitHub pull request?▼

To check AI code review feedback on a GitHub pull request, fetch and present comments from the Codex bot. This process retrieves inline comments and top-level reviews, parsing priority levels like Critical, Important, and Suggestion to highlight critical issues before merging.

What is the best way to categorize AI code suggestions by priority?▼

The best way to categorize AI code suggestions by priority is by parsing badge indicators from the Codex bot. This identifies and categorizes feedback into Critical, Important, and Suggestion levels, allowing you to prioritize and fix issues efficiently.

How do I fetch inline comments from the chatgpt-codex-connector bot?▼

You can fetch inline comments from the chatgpt-codex-connector bot by running an automated feedback retrieval process. It scans the current GitHub pull request for bot reviews and extracts the specific inline code suggestions.

Can I streamline the merge process by addressing AI feedback on a feature branch?▼

Yes, you can streamline the merge process by addressing AI feedback on a feature branch. By highlighting critical issues and suggestions from the Codex AI reviewer, you ensure all flagged problems are resolved before merging.

Does this automated code review tool require any external dependencies?▼

No, this automated code review tool does not require any external dependencies. It directly fetches and presents AI-generated feedback from the Codex bot on your current pull request without needing additional setup.

Why does my pull request show unresolved Codex bot reviews?▼

Your pull request shows unresolved Codex bot reviews because the AI code reviewer has flagged issues that need attention. Fetching these comments parses priority levels to ensure all critical issues and suggestions are addressed before merging.

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