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genpark-personal-agent-respiratory-chemoreflex-hypercapnic-hcv-skill

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
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  • Active repo — Last push 0 days ago
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SUMMARY

Deterministic personal agent skill for calculating Hypercapnic Ventilatory Response (HCVR slope), central respiratory chemosensitivity, and CO2 tolerance.

README.md

Hypercapnic Ventilatory Response (HCVR) Skill

License: Apache-2.0
Python 3.10+
Zero Dependencies
MCP Protocol Ready
OpenClaw Certified

Zero-dependency sovereign personal agent skill for non-invasive evaluation of Hypercapnic Ventilatory Response (HCVR slope), central respiratory chemosensitivity, and CO2 tolerance.

flowchart TD
    Capnometry["End-Tidal CO2 & Spirometry Sensors"] --> LinearReg["Linear Regression Slope (dVE / dPETCO2)"]
    LinearReg --> LoopGain["Chemoreflex Loop Gain & Threshold Analysis"]
    LoopGain --> PacingEngine["Respiratory Chemoreflex Stability Engine"]
    PacingEngine --> Agent["OpenClaw / Hermes Personal Agent Actions"]

Features

  • Deterministic Math: Pure Python standard library implementation with zero external dependencies.
  • Respiratory Physiology Standards: Implements validated Read rebreathing linear sensitivity slope calculations.
  • Chemoreflex Loop Gain Stratification: Quantitative evaluation of central controller sensitivity and periodic breathing vulnerability.
  • Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Quickstart

from client import RespiratoryChemoreflexClient

client = RespiratoryChemoreflexClient()
result = client.evaluate_hypercapnic_response(
    delta_petco2_mmhg=11.0,
    delta_minute_ventilation_l_min=25.3
)
print("HCVR Slope:", result["hcvr_slope_l_min_mmhg"])
print("Classification:", result["classification"])

License

Apache-2.0

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