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genpark-personal-agent-ambient-noise-auditory-focus-masker-skill

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  • License — License: MIT
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SUMMARY

Audits acoustical distraction risk from intelligible speech, quantifies working memory loss, and synthesizes colored noise (pink/brown) sound masking profiles.

README.md

Personal Agent Ambient Noise Auditory Focus Masker Skill

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

Zero-dependency acoustical Speech Intelligibility Index (SII) distraction auditor, cognitive throughput degradation modeler, and colored noise masking soundscape synthesizer.

Architecture

flowchart TD
    Soundscape[Ambient dBA, Speech %, Fluctuation dB] --> SIIAuditor[Speech Intelligibility & Distraction Engine]
    SIIAuditor --> DistractionScore[Distraction Index & Working Memory Loss]
    TaskDomain[Deep Coding vs Linguistic Writing] --> MaskingSynthesizer[Colored Noise Masking Synthesizer]
    MaskingSynthesizer --> NoiseProfile[Pink/Brown Noise Target dBA & Spectral Slope]

Quickstart

from client import PersonalAgentAmbientNoiseAuditoryFocusMasker

agent = PersonalAgentAmbientNoiseAuditoryFocusMasker()
res = agent.evaluate_acoustic_distraction_risk(ambient_dba=62.0, speech_presence_pct=40.0)
print(f"Distraction: {res['distraction_risk_score']} | Memory Penalty: {res['working_memory_throughput_penalty']}")

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