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Zero-dependency sovereign personal agent skill for evaluating Acoustic Stapedial Reflex Thresholds (ART), sensation level (SL), 10-second reflex decay rate, and middle ear protective resilience.
flowchart TD
SoundStim["Loud Acoustic Stimulus (70-105 dB HL)"] --> Cochlea["Cochlear Afferent Conduction (CN VIII)"]
Cochlea --> Brainstem["Ventral Cochlear Nucleus & Superior Olivary Complex"]
Brainstem --> FacialEfferent["Facial Motor Nucleus (CN VII) Efferent Limb"]
FacialEfferent --> Stapedius["Stapedius Muscle Bilateral Contraction"]
Stapedius --> Tympanometry["Acoustic Impedance & Reflex Decay Tracking"]
Tympanometry --> Agent["OpenClaw / Hermes Personal Agent Sound Guarding"]Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Audiology & Otology Standards: Formulates ipsilateral/contralateral ART thresholds, Metz loudness recruitment, and acoustic reflex decay.
Acoustic Fatigue & Retrocochlear Guard: Sensitive screening for auditory nerve conduction fatigue and middle ear biomechanical stiffness.
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 AcousticStapedialReflexClient
client = AcousticStapedialReflexClient()
result = client.evaluate_stapedial_reflex(
ipsilateral_threshold_db_hl=80.0,
contralateral_threshold_db_hl=85.0,
stimulus_freq_hz=1000,
reflex_decay_10s_pct=12.0
)
print("Sensation Level:", result["sensation_level_db_sl"], "dB SL")
print("Middle Ear Score:", result["middle_ear_score"])
print("Classification:", result["classification"])Apache-2.0
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