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genpark-personal-agent-acoustic-efferent-olivocochlear-reflex-moc-skill

mcp
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SUMMARY

Deterministic personal agent skill for calculating Medial Olivocochlear (MOC) efferent acoustic reflex OAE suppression delta (dB) and hair cell protection.

README.md

Medial Olivocochlear (MOC) Efferent Acoustic Reflex Skill

License
Python
OpenClaw
GenPark
MCP

Medial Olivocochlear (MOC) Efferent Acoustic Reflex and Contralateral OAE Suppression Analyzer based on auditory biophysics.

flowchart TD
    A[Baseline OAE in Quiet] --> B[Record Contralateral CAS Suppression]
    B --> C[Compute Efferent Delta: Baseline - CAS dB SPL]
    C --> D[Compute Linear Voltage Damping %]
    D --> E{Suppression Delta Threshold}
    E -- >= 1.0 dB --> F[Robust Cochlear Efferent Protection]
    E -- < 0.5 dB --> G[Blunted Suppression / Efferent Vulnerability]

Features

  • Zero PIP Dependencies: Implemented strictly with Python Standard Library (math, json, sys, typing).
  • Acoustic Efferent Modeling: Quantifies outer hair cell electromotility damping under contralateral noise.
  • Artifact Protection: Checks for acoustic middle-ear stapedial reflex contamination at high sound levels.
  • Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.

Quickstart

python example_usage.py

License

Apache-2.0

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