flowchart TD
    DiffusionInputs["DLCO Measured (mL/min/mmHg), Predicted DLCO, Hemoglobin (g/dL)"] --> HbCorrection["Dinakara/Cotes Hemoglobin Normalization Factor"]
    HbCorrection --> AdjustedDLCO["Hemoglobin-Adjusted DLCO (mL/min/mmHg)"]
    AdjustedDLCO --> PredictedPercent["Percentage of Predicted DLCO (% Predicted)"]
    AdjustedDLCO --> KCOEngine["Transfer Coefficient KCO = Adjusted DLCO / Alveolar Volume (VA)"]
    PredictedPercent & KCOEngine --> PDRS["Pulmonary Diffusion Resilience Score (0 - 100)"]
    PDRS --> Directives["OpenClaw / Hermes Altitude & Cardiorespiratory Directives"]

from client import AlveolarCapillaryDiffusionClient

client = AlveolarCapillaryDiffusionClient()

# Assess DLCO pulmonary gas exchange
res = client.evaluate_dlco_diffusion(
    measured_dlco_ml_min_mmhg=28.2,
    predicted_dlco_ml_min_mmhg=30.0,
    hemoglobin_g_dl=15.0,
    is_female=False,
    alveolar_volume_liters=6.2
)

print("Adjusted DLCO:", res["adjusted_dlco_ml_min_mmhg"], "mL/min/mmHg")
print("% Predicted:", res["pct_predicted_dlco"], "%")
print("Diffusion Score:", res["pulmonary_diffusion_score"], "/ 100")
print("Severity:", res["clinical_severity"])

{
  "mcpServers": {
    "alveolar-capillary-diffusion": {
      "command": "python",
      "args": ["/path/to/genpark-personal-agent-alveolar-capillary-diffusion-dlco-skill/mcp_server.py"]
    }
  }
}