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ai-code-quality-auditor


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Author: O'Rume Dominic Uririe
License: MIT License Copyright (c) 2026 Dominic Rume Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated docum...
Summary: Empirical Safety Harness for agentic AI coding systems. Scores AI-generated code on 5 metrics across 5 vendor conditions against one fixed spec.
Latest version: 0.5.1
Required dependencies: bandit | click | flask | pydantic | python-dotenv | pyyaml | radon | rich
Optional dependencies: build | flask | jupyter | matplotlib | pandas | pynput | pytest | pytest-asyncio | ruff | scikit-learn | scikit-posthocs | scipy | statsmodels | twine

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