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This skill brings advanced neuroscience principles to the Claude Code environment by implementing a reafference and corollary discharge mechanism. It works by generating an 'Efference Copy' (a prediction) of intended actions and comparing them against 'Sensory Reafference' (actual interaction history). By calculating the mathematical error between predicted and observed patterns, the system can automatically suppress expected feedback and amplify unexpected deviations. This provides a high-precision behavioral verification layer that ensures system integrity and detects unauthorized external interference in real-time.
