Cutaneous Microvascular Reactive Hyperemia (PORH) Skill

Zero-dependency sovereign personal agent skill for non-invasive evaluation of Cutaneous Post-Occlusive Reactive Hyperemia (PORH), Laser Doppler flowmetry, time-to-peak, and endothelial nitric oxide reserve.

flowchart TD
    Baseline["Resting Cutaneous Perfusion Flux Baseline (PU_base)"] --> Occlusion["3-Min Suprasystolic Arterial Occlusion Challenge"]
    Occlusion --> Deflation["Cuff Release -> Sudden Shear Stress Surge"]
    Deflation --> NORelease["Endothelial Nitric Oxide Synthase (eNOS) & Prostacyclin Surge"]
    NORelease --> PeakHyperemia["Peak Reactive Hyperemic Perfusion (PU_peak)"]
    PeakHyperemia --> PORHMetrics["PORH Ratio (PU_peak/PU_base) & Time-to-Peak (sec)"]
    PORHMetrics --> EndothelialScore["Microvascular Endothelial & Vascular Elasticity Score"]
    EndothelialScore --> Agent["OpenClaw / Hermes Personal Agent Lifestyle Prescriptions"]

Features

• Deterministic Math: Pure Python standard library implementation with zero external dependencies.
• Vascular Physiology Standards: Implements validated equations for Laser Doppler flux, hyperemic amplification ratio, and time-to-peak kinetics.
• Microvascular Endothelial Dysfunction Detection: Early sensitive screening for subclinical vascular stiffening and endothelial decay.
• Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Quickstart

from client import CutaneousMicrovascularPORHClient

client = CutaneousMicrovascularPORHClient()
result = client.evaluate_porh(
    baseline_flux_pu=14.2,
    peak_hyperemic_flux_pu=72.5,
    time_to_peak_sec=7.2,
    recovery_time_sec=78.0
)
print("PORH Ratio:", result["porh_amplification_ratio"], "x")
print("Endothelial Score:", result["microvascular_endothelial_score"])
print("Classification:", result["classification"])

License

Apache-2.0