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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"]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.
Related MCP server: Auditory Binaural Masking Level Difference (BMLD) MCP Server
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"])Apache-2.0
This server cannot be deployed
Remote MCP server for deterministic educational practice-assessment score conversions.
Auditable MCP server for PubMed, Europe PMC, ClinicalTrials.gov, and bioRxiv/medRxiv queries
A paid remote MCP for ppt-master, built to return verdicts, receipts, usage logs, and audit-ready JS