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MCP Agile Flow

by smian0
105-vulture-dead-code-analysis.md2.3 kB
--- description: Use when asked to SET UP DEAD CODE ANALYSIS or FIND UNUSED CODE to implement Vulture for Python projects globs: **/*.py, **/*.toml, **/Makefile alwaysApply: false --- # Vulture Dead Code Analysis Setup ## Context - When the user wants to identify unused/dead code in Python projects - When setting up code quality tools for Python projects - When implementing CI/CD for code quality ## Requirements - Install Vulture as a dev dependency - Create a comprehensive script for dead code analysis - Generate structured reports (text, HTML, JSON) - Add Makefile targets for easy execution - Support different confidence levels for analysis - Integrate with existing project structure ## Examples <example> # Add Vulture as a development dependency in pyproject.toml [project.optional-dependencies] dev = [ "pytest>=7.0.0", "black>=22.1.0", "vulture>=2.3", # For dead code analysis ] # Create a dead-code analysis script at scripts/quality/analyze_dead_code.py #!/usr/bin/env python3 """ Dead Code Analyzer using Vulture """ import subprocess import sys from pathlib import Path def run_analysis(src_dir="src", min_confidence=60): result = subprocess.run( ["vulture", src_dir, f"--min-confidence={min_confidence}"], capture_output=True, text=True ) print(result.stdout) return result.returncode if __name__ == "__main__": run_analysis(sys.argv[1] if len(sys.argv) > 1 else "src") # Add to Makefile dead-code: @echo "Running dead code analysis..." python scripts/quality/analyze_dead_code.py </example> <example type="invalid"> # Installing Vulture globally (should be project-specific) pip install vulture # Running without configuration vulture . # No structured reports or integration with build system # No confidence level management </example> ## Critical Rules - Always install Vulture as a dev dependency, not a main dependency - Use confidence levels to manage false positives (60% for all, 100% for certain cases) - Generate both human-readable (HTML) and machine-readable (JSON) reports - Include the analysis in the CI/CD pipeline for automated checks - Provide whitelist mechanism for handling false positives - Implement the solution in a way that works with the existing build system (pip, poetry, etc.)

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