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genpark-personal-agent-sensory-deprivation-auditory-visual-hygiene-skill

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  • License — License: MIT
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SUMMARY

Personal agent Sensory Overload Index (SOI) quantifier, thalamocortical sensory gating modeler, and Restricted Environmental Stimulation Therapy (REST) protocol prescriptor.

README.md

Personal Agent Sensory Deprivation Auditory Visual Hygiene Skill

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

Zero-dependency Sensory Overload Index (SOI) quantifier, thalamocortical sensory gating modeler, and Restricted Environmental Stimulation Therapy (REST) protocol prescriptor.

Architecture

flowchart TD
    SensoryInput[Screen Time, Decibel Level, Notification Interrupts, Blue Light] --> SOIEngine[Sensory Overload Engine]
    SOIEngine --> AcousticBurden[Acoustic Decibel Logarithmic Burden]
    SOIEngine --> PhotopicBurden[Photopic Irradiance & Retinal Flux]
    SOIEngine --> InterruptBurden[Attentional Task-Switching Latency]
    SOIEngine --> SOIScore[Sensory Overload Index: SOI 0-100]
    SOIScore --> RESTPrescription[Restricted Environmental Stimulation Therapy: REST]
    RESTPrescription --> Regimes[Flotation REST / Chamber REST / Micro Hiatus]

Quickstart

from client import PersonalAgentSensoryDeprivationAuditoryVisualHygiene

agent = PersonalAgentSensoryDeprivationAuditoryVisualHygiene()
res = agent.calculate_sensory_overload_burden(daily_screen_time_hours=8.0, average_ambient_decibels=65.0, daily_notification_interrupts=80)
print(f"SOI: {res['sensory_overload_index_soi']}/100 | Tier: {res['sensory_saturation_tier']}")

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