production-code-audit

Scan codebases for architecture, quality, security, and performance issues.

Updated Feb 6, 2026

Search Tags:#code quality #performance #security #refactoring #enterprise #code audit

Ready to run

npx skills add https://github.com/ntuan2502/piggy --skill production-code-audit-ntuan2502

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: production-code-audit
Source: https://github.com/ntuan2502/piggy/tree/main/.agent/skills/production-code-audit
Command: npx skills add https://github.com/ntuan2502/piggy --skill production-code-audit-ntuan2502

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of ensuring code quality, security, and performance meet stringent production and corporate-level standards.

Core Features & Use Cases

Deep Code Scanning: Analyzes code line-by-line for architectural integrity, quality, security vulnerabilities, and performance bottlenecks.
Automated Refactoring: Transforms code to adhere to best practices like SOLID, DRY, and KISS principles.
Security Audits: Identifies OWASP Top 10 risks, dependency issues, and hardcoded secrets.
Use Case: A team has legacy code that needs to be production-ready. This Skill can be used to automatically audit the codebase, identify areas for improvement, and refactor it to meet enterprise standards before deployment.

Quick Start

Run the expert audit script on the current project directory.

Frequently Asked Questions about production-code-audit

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

FAQPage Schema

How do I audit a Python codebase for enterprise-grade production readiness?▼

To audit a Python codebase for production readiness, run an expert script that scans line-by-line for architectural integrity, security vulnerabilities, and performance bottlenecks. It analyzes the entire project directory to ensure corporate-level professional quality.

What is the best way to refactor legacy code to meet SOLID and DRY principles?▼

Refactoring legacy code to meet SOLID, DRY, and KISS principles is best handled by an automated deep scan that identifies architectural flaws and transforms the code automatically. This process validates modifications with tests to guarantee enterprise standards.

Can I automatically detect OWASP Top 10 security vulnerabilities during a code audit?▼

Yes, you can automatically detect OWASP Top 10 security vulnerabilities during a code audit. The deep scan identifies security risks, dependency issues, and hardcoded secrets to elevate the codebase to production-grade quality.

Does this code audit tool require a specific environment to run?▼

Running this code audit tool requires a Python environment. Once dependencies are set, it autonomously performs a deep scan of the current project directory to analyze code quality, security vulnerabilities, and performance bottlenecks.

How does automated code refactoring handle performance bottlenecks?▼

Automated code refactoring handles performance bottlenecks by deeply scanning the codebase line-by-line to identify inefficiencies. It transforms the code to adhere to KISS principles, optimizing performance while validating modifications with tests.

When do I need an autonomous deep scan for architectural integrity?▼

You need an autonomous deep scan for architectural integrity when preparing legacy code for deployment. It ensures the codebase meets stringent corporate-level standards by analyzing quality, security vulnerabilities, and performance bottlenecks before production.