production-code-audit

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

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/gitcoder27/trading-backtester-v1 --skill production-code-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: production-code-audit
Source: https://github.com/gitcoder27/trading-backtester-v1/tree/main/.agent/skills/production-code-audit
Command: npx skills add https://github.com/gitcoder27/trading-backtester-v1 --skill production-code-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill autonomously analyzes and upgrades a codebase to production-grade quality, reducing manual auditing effort and accelerating enterprise readiness.

Core Features & Use Cases

  • Autonomous discovery: scans the entire repository to identify architecture, dependencies, and data flows.
  • Issue detection & fixes: identifies security, performance, and quality issues and applies deterministic improvements.
  • Adaptable scope: suitable for monorepos, multi-language stacks, and large-scale applications across teams.
  • Use Case: Example: run the audit on a legacy service to surface critical security gaps and refactor hotspots for immediate production-readiness.

Quick Start

Run the audit across the current project to generate a comprehensive remediation plan and a patch set.

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 codebase for production-grade quality?

A production-grade codebase audit scans architecture, security, performance, and quality concerns. It autonomously discovers data flows and dependencies, detects line-by-line issues, applies deterministic fixes, and verifies results via tests and comprehensive reports.

Can I run an automated codebase audit on a multi-language monorepo?

Yes, you can run an automated codebase audit on a multi-language monorepo. The audit adapts to large-scale applications and multi-language stacks, autonomously discovering data flows and dependencies to detect security and performance issues across teams.

What's the best way to find security gaps and refactor hotspots in a legacy service?

The best way to find security gaps and refactor hotspots in a legacy service is to run an autonomous codebase audit. It surfaces critical security vulnerabilities and identifies performance bottlenecks to accelerate enterprise readiness and immediate production deployment.

Does automated code auditing apply automated fixes and verify them with tests?

Yes, automated code auditing applies deterministic improvements to identified issues. It verifies these automated fixes by running tests and generating comprehensive reports, ensuring the codebase meets production-grade quality and enterprise readiness standards.

What is included in a production-grade codebase audit report?

A production-grade codebase audit report includes a comprehensive remediation plan and a patch set. It covers architecture, security, performance, and quality concerns, documenting line-by-line issue detection and verification results from automated tests.