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functionality-auditlisted

Validates that code actually works through sandbox testing, execution verification, and systematic debugging. Use this skill after code generation or modification to ensure functionality is genuine rather than assumed. The skill creates isolated test environments, executes code with realistic inputs, identifies bugs through systematic analysis, and applies best practices to fix issues without breaking existing functionality. This ensures code delivers its intended behavior reliably.
aiskillstore/marketplace · ★ 329 · Code & Development · score 79
Install: claude install-skill aiskillstore/marketplace
# Functionality Audit This skill validates that code genuinely works as intended through systematic testing in isolated sandbox environments. Rather than assuming code is correct because it looks right or passes cursory checks, the functionality audit actually executes code with realistic inputs, verifies outputs match expectations, and debugs any issues discovered. This transforms theoretical correctness into verified functionality. ## When to Use This Skill Use the functionality-audit skill after generating or modifying code to verify it works before deployment, when code appears correct but behavior seems off, after integrating code from multiple sources, or before production releases as final validation. The skill is essential when correctness is critical, when code complexity makes visual inspection insufficient, or when debugging existing code that fails intermittently or mysteriously. ## The Importance of Execution Verification Code that looks correct is not the same as code that works correctly. Syntax can be valid while logic is flawed. Functions can exist while their implementations are broken. Integration points can appear properly connected while producing incorrect results. Execution verification eliminates the gap between apparent correctness and actual functionality. **Syntax Correctness Versus Semantic Correctness**: Code can parse and compile without errors while implementing the wrong algorithm, making incorrect assumptions about input data, handling e