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Leverage Point Audit is a specialized diagnostic tool designed to evaluate how agent-ready a codebase is by analyzing twelve critical leverage points. By examining factors such as test coverage, logging visibility, architectural clarity, and context documentation, it identifies exactly why AI agents may struggle or fail in a specific environment. This skill provides a structured, prioritized roadmap of improvements, helping development teams bridge the gap between human-centric code and AI-optimized workflows to significantly increase agent success rates and autonomy.
