genpark-personal-agent-osteogenic-loading-bone-density-skill

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SUMMARY

Personal agent Frost's Mechanostat bone mechanotransduction modeler, ground reaction force (GRF) osteogenic threshold indexer, and axial loading protocol prescriptor.

README.md

Personal Agent Osteogenic Loading Bone Density Skill

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

Zero-dependency Frost's Mechanostat bone mechanotransduction modeler, ground reaction force (GRF) osteogenic threshold indexer, and axial loading protocol prescriptor.

Architecture

flowchart TD
    ImpactData[Exercise Type, Bodyweight kg, GRF Multiple, Repetitions] --> MechanoEngine[Bone Mechanostat Engine]
    MechanoEngine --> PeakForce[Peak Force N: BW * 9.81 * GRF]
    MechanoEngine --> ThresholdCheck[Mechanostat Remodeling Threshold: >= 4.2x BW]
    MechanoEngine --> MOIScorer[Mechanotransduction Osteogenic Index: MOI]
    DEXAProfile[Chronological Age & DEXA T-Score] --> BoneClassifier[BMD Category: Normal / Osteopenia / Osteoporosis]
    BoneClassifier --> ProtocolPrescription[Weekly Dynamic Loading Cycles & Nutritional Mandate]

Quickstart

from client import PersonalAgentOsteogenicLoadingBoneDensity

agent = PersonalAgentOsteogenicLoadingBoneDensity()
res = agent.evaluate_osteogenic_stimulus(exercise_type="depth_jump_landing", bodyweight_kg=70.0, repetition_cycles=20)
print(f"MOI: {res['mechanotransduction_osteogenic_index_moi']} | Threshold Met: {res['mechanostat_osteogenic_threshold_met']}")

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