Does it provide a summary of the codebase health?

Yes, it calculates a numerical compliance score (X/10) for the Architecture & Design category based on a penalty algorithm applied to the findings.

Can I run the audit on a specific module or domain?

Yes, the skill supports a domain-aware mode that allows you to specify a scan path and domain name, making it suitable for targeted audits of specific sub-directories.

How does it handle architectural layer violations?

The skill greps for direct database calls in the UI layer and repository imports in controllers, ensuring that business logic flows correctly through the defined service layers.

What specific DRY violations does this skill detect?

It audits seven distinct types: identical code duplication, duplicated validation logic, repeated error messages, similar logic patterns (>80% similarity), duplicated SQL queries, copy-pasted tests, and repeated API response structures.

Architecture Auditor (L3)

Name: Architecture Auditor (L3)
Author: levnikolaevich

bylevnikolaevich

•

Developer Tools

Audits codebases for architectural integrity, design pattern violations, and technical debt using industry-standard principles.

About

The Architecture Auditor is a high-level (L3) specialized worker designed to maintain systemic quality within a codebase. It automatically identifies violations of core principles like DRY (Don't Repeat Yourself), KISS (Keep It Simple, Stupid), and YAGNI (You Aren't Gonna Need It), while also policing architectural layer boundaries and error-handling strategies. By calculating compliance scores and providing actionable recommendations with estimated effort, it enables development teams to proactively manage technical debt and ensure software remains maintainable and scalable.

Key Features

Architectural layer enforcement to prevent cross-layer boundary breaks
Audit of centralized error handling and missing error propagation patterns
KISS and YAGNI analysis to identify over-engineering and premature optimizations
Comprehensive DRY detection across 7 categories including logic, SQL, and API responses
38 GitHub stars
Severity-based reporting with specific code locations and remediation effort estimates

Use Cases

Automated code review gates for enforcing architectural compliance and standards
Ensuring Clean Architecture or Hexagonal design principles are maintained across domains
Technical debt discovery and prioritization during legacy codebase refactoring

About

Key Features

Architectural layer enforcement to prevent cross-layer boundary breaks
Audit of centralized error handling and missing error propagation patterns
KISS and YAGNI analysis to identify over-engineering and premature optimizations
Comprehensive DRY detection across 7 categories including logic, SQL, and API responses
38 GitHub stars
Severity-based reporting with specific code locations and remediation effort estimates

Use Cases

Automated code review gates for enforcing architectural compliance and standards
Ensuring Clean Architecture or Hexagonal design principles are maintained across domains
Technical debt discovery and prioritization during legacy codebase refactoring