genpark-personal-agent-osteogenic-loading-bone-density-skill
mcp
Uyari
Health Uyari
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Low visibility — Only 7 GitHub stars
Code Gecti
- Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Gecti
- Permissions — No dangerous permissions requested
Bu listing icin henuz AI raporu yok.
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
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']}")
Yorumlar (0)
Yorum birakmak icin giris yap.
Yorum birakSonuc bulunamadi