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Personal Agent Auditory Acoustic Decibel Dosimeter Skill

Personal Agent Auditory Acoustic Decibel Dosimeter Skill

by Alpha-Park

Personal Agent Auditory Acoustic Decibel Dosimeter Skill

OpenClaw Ecosystem Dual-Org Sync Zero Dependencies Model Context Protocol Production Grade

Zero-dependency NIOSH/OSHA cumulative noise dose calculator, equivalent sound level (Leq) modeler, and Temporary Threshold Shift (TTS) cochlear recovery evaluator.

Architecture

flowchart TD
    SoundSegments[Acoustic Exposures: SPL dBA & Duration Hours] --> DosimeterEngine[Acoustic Dosimeter Engine]
    DosimeterEngine --> NIOSHExchange[NIOSH 3dB / OSHA 5dB Exchange Rate]
    NIOSHExchange --> NoiseDosePct[Cumulative Daily Noise Dose %]
    DosimeterEngine --> LeqCalc[Equivalent Continuous Sound Level: Leq dBA]
    DosimeterEngine --> TWACalc[8-Hour Time-Weighted Average: TWA dBA]
    AcuteExposure[Peak Noise dBA & Duration Mins] --> TTSEngine[Ward Temporary Threshold Shift Modeler]
    TTSEngine --> RecoveryHours[Quiet Ambient Recovery Time Hours < 55 dBA]

Related MCP server: Personal Agent Sleep Debt Repayment Planner

Quickstart

from client import PersonalAgentAuditoryAcousticDecibelDosimeter

agent = PersonalAgentAuditoryAcousticDecibelDosimeter()
res = agent.calculate_cumulative_noise_dose([{"sound_pressure_level_dba": 88.0, "duration_hours": 2.0}])
print(f"Dose: {res['cumulative_noise_dose_pct']}% | TWA: {res['eight_hour_time_weighted_average_twa_dba']} dBA")

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