vulture-dead-code

To detect unused Python code, this Skill uses static analysis tools like Vulture and deadcode to find unused functions, classes, variables, and imports. It scans your project directory and identifies code that can be safely removed during refactoring.

Dead code detection identifies unused functions, classes, variables, and imports that exist in your codebase but are never executed. You need it for code hygiene, refactoring, and maintaining clean Python projects by reducing the attack surface and improving performance.

Yes, you can integrate dead code checks into your CI/CD pipeline or pre-commit hooks. The Skill supports configuration via pyproject.toml or command-line arguments, allowing you to run Vulture with a minimum confidence score to automate code hygiene verification.

Yes, this Skill requires the installation of the vulture and deadcode packages to perform static analysis. Once installed, you can configure detection parameters through pyproject.toml or command-line arguments to identify unused Python code.

The best way to prioritize unused code removal is using Vulture's confidence scores. You can set a minimum confidence threshold, such as 80%, to filter results and focus on removing code that the static analysis tool identifies with the highest certainty.

You can configure Vulture to scan the current directory by running it with a minimum confidence threshold of 80%. Configuration is supported through pyproject.toml settings or command-line arguments to customize how unused Python code is detected and reported.