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genpark-personal-agent-metabolic-flexibility-respiratory-quotient-skill

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
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  • Active repo — Last push 0 days ago
  • Low visibility — Only 7 GitHub stars
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SUMMARY

Personal agent indirect calorimetry Respiratory Exchange Ratio (RER) partitioner, substrate oxidation modeler (fat vs carbohydrate grams/min), and metabolic switch evaluator.

README.md

Personal Agent Metabolic Flexibility Respiratory Quotient Skill

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

Zero-dependency indirect calorimetry Respiratory Exchange Ratio (RER) partitioner, substrate oxidation modeler (fat vs carbohydrate grams/min), and metabolic switch evaluator.

Architecture

flowchart TD
    GasExchange[VO2 ml/min & VCO2 ml/min] --> CalorimetryEngine[Weir Indirect Calorimetry Engine]
    CalorimetryEngine --> RERCalc[Respiratory Exchange Ratio: RER = VCO2 / VO2]
    RERCalc --> SubstratePartition[Lusk/Frayn Equations: Fat % vs CHO %]
    CalorimetryEngine --> CaloricOutput[Energy Expenditure: kcal/min & kcal/hr]
    SubstratePartition --> GramBurnRate[Oxidation Rates: Fat g/hr & CHO g/hr]
    FastingInput[Fasting Hours & RQ] --> SwitchEngine[Metabolic Switch Classifier]
    SwitchEngine --> AutophagyStatus[AMPK Activation & Hepatic Glycogen Status]

Quickstart

from client import PersonalAgentMetabolicFlexibilityRespiratoryQuotient

agent = PersonalAgentMetabolicFlexibilityRespiratoryQuotient()
res = agent.calculate_substrate_oxidation_and_rer(vo2_ml_min=320.0, vco2_ml_min=240.0)
print(f"RER: {res['respiratory_exchange_ratio_rer']} | Fat: {res['fat_oxidation_percentage']} | CHO: {res['carbohydrate_oxidation_percentage']}")

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