Cutaneous Microcirculation & Laser Doppler Thermal Hyperemia Skill

A sovereign personal agent capability for computational microvascular assessment, evaluating cutaneous laser Doppler flowmetry, sensory C-fiber axon reflexes, and endothelial nitric oxide capacity.

Architecture

flowchart TD
    LaserDoppler["Laser Doppler Flux (PU) & MAP (mmHg)"] --> CVC["Cutaneous Vascular Conductance (CVC = Flux / MAP * 100)"]
    CVC --> Phase1["Initial Sensory Axon Reflex Peak (C-Fiber Neuropeptides)"]
    CVC --> Phase2["Sustained Plateau (Endothelial Nitric Oxide / EETs)"]
    Phase1 & Phase2 --> Metrics["Axon Ratio & %CVC_max Plateau"]
    Metrics --> EMHS["Endothelial Microvascular Health Score (0 - 100)"]
    EMHS --> AgentDirectives["OpenClaw / Hermes Cardiovascular & Dietary Nitrate Guidance"]

Quickstart

from client import CutaneousMicrocirculationClient

client = CutaneousMicrocirculationClient()

# Assess cutaneous local thermal hyperemia
res = client.evaluate_thermal_hyperemia(
    baseline_flux_pu=16.0,
    axon_peak_flux_pu=88.0,
    plateau_flux_pu=152.0,
    maximal_flux_pu=168.0,
    mean_arterial_pressure_mmhg=92.0
)

print("%CVCmax Plateau:", res["pct_cvc_max_plateau"], "%")
print("Axon Reflex Ratio:", res["axon_reflex_ratio"], "x")
print("Microvascular Health Score:", res["endothelial_microvascular_health_score"], "/ 100")
print("Classification:", res["classification"])

MCP Server Integration

Add to your claude_desktop_config.json or OpenClaw tool registry:

{
  "mcpServers": {
    "cutaneous-microcirculation": {
      "command": "python",
      "args": ["/path/to/genpark-personal-agent-cutaneous-microcirculation-laser-doppler-skill/mcp_server.py"]
    }
  }
}

License

MIT License.