genpark-personal-agent-acoustic-startle-prepulse-inhibition-skill

mcp
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SUMMARY

Deterministic personal agent skill for evaluating Acoustic Startle Prepulse Inhibition (PPI), sensorimotor gating, and cognitive distractibility.

README.md

Acoustic Startle Prepulse Inhibition (PPI) Skill

License: Apache-2.0
Python 3.10+
Zero Dependencies
MCP Protocol Ready
OpenClaw Certified

Zero-dependency sovereign personal agent skill for non-invasive evaluation of Acoustic Startle Reflex Prepulse Inhibition (%PPI), sensorimotor gating integrity, and environmental sensory overload vulnerability.

flowchart TD
    Acoustic["Acoustic Stimulus (Prepulse + Pulse Pairs)"] --> EMG_Reflex["Electromyography / Startle Reflex Peak Extraction"]
    EMG_Reflex --> PPI_Math["%PPI Equation & Lead Interval Calibration"]
    PPI_Math --> Gating["Sensorimotor Gating & Distractibility Scoring"]
    Gating --> Agent["OpenClaw / Hermes Personal Agent Actions"]

Features

  • Deterministic Math: Pure Python standard library implementation with zero external dependencies.
  • Neurophysiological Standard Formulas: Implements validated prepulse startle suppression equations.
  • Cognitive Distraction Stratification: Quantitative evaluation of sensory filtering resilience in noisy environments.
  • Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Quickstart

from client import AcousticStartlePPIClient

client = AcousticStartlePPIClient()
result = client.evaluate_prepulse_inhibition(
    pulse_alone_amplitude=135.0,
    prepulse_pulse_amplitude=38.0,
    lead_interval_ms=100.0
)
print("PPI Percentage:", result["ppi_percentage"], "%")
print("Classification:", result["classification"])

License

Apache-2.0

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