Agent skill · operations · aiskillstore
functionality-audit
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.
Why this skill is useful
Adds systematic debugging and sandbox testing methodologies that ensure code functionality beyond standard practices.
What it needs
Requires docker installed locally. About 11k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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 edge cases improperly, or producing subtly wrong outputs. Syntax checking validates form but not substance. Semantic correctness requires execution with realistic inputs and careful verification of outputs. Static Analysis Limitations: Static analysis tools check for code smells, common pitfalls, and structural issues, but they cannot verify that code implements its intended behavior correctly. A function might have perfect style and no linting warnings while computing the wrong result. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/functionality-audit