claude-skill-codex

🥈Silver

Claude Code integrates with OpenAI Codex CLI for advanced code analysis, refactoring, and automated editing. Benefits developers and operations teams by automating code improvements and reducing manual effort. Connects to OpenAI Codex CLI for code manipulation.

3010Updated 1mo ago

Intermediate30min to implementautomation

Saves ~35 min per use

Quick InstallView Source

git clone https://github.com/sypsyp97/claude-skill-codex.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/sypsyp97/claude-skill-codex

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze the following [CODE] and suggest improvements using OpenAI Codex CLI. Focus on [SPECIFIC_ISSUE] such as performance, readability, or security. Provide a detailed explanation for each suggestion.

Example Output

# Code Analysis Report

## Performance Improvements
- **Inefficient Loop Structure**: The current loop structure in the `data_processing` function can be optimized by using list comprehension, reducing the time complexity from O(n^2) to O(n).
- **Unnecessary Function Calls**: The `calculate_stats` function is called repeatedly within a loop. Caching the results can improve performance.

## Readability Enhancements
- **Inconsistent Naming Conventions**: The variables `usr_data` and `user_info` refer to the same entity. Standardizing the naming convention to `user_data` throughout the codebase will improve clarity.
- **Excessive Nesting**: The `if-else` conditions in the `validate_input` function are deeply nested. Refactoring to use early returns or guard clauses can make the logic easier to follow.

## Security Recommendations
- **SQL Injection Vulnerability**: The `query_database` function directly interpolates user input into SQL queries. Using parameterized queries can mitigate this risk.
- **Insecure Data Handling**: Sensitive data is logged in plain text. Implementing encryption for log entries containing sensitive information is recommended.