genpark-personal-agent-renal-transtubular-potassium-gradient-ttkg-skill

mcp
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SUMMARY

Deterministic personal agent skill for calculating Transtubular Potassium Gradient (TTKG), collecting duct secretion, and aldosterone action.

README.md

Renal Transtubular Potassium Gradient (TTKG) Skill

License
Python
OpenClaw
GenPark
MCP

Renal Transtubular Potassium Gradient (TTKG) and Distal Tubular Secretion Evaluator based on nephrological electrolyte physiology.

flowchart TD
    A[Urine & Plasma Potassium + Osmolality] --> B[Check Validity: U_osm >= P_osm]
    B --> C[Compute TTKG = U_K * P_osm / P_K * U_osm]
    C --> D{Serum Potassium Level}
    D -- Hyperkalemia > 5.0 --> E{TTKG > 7.0?}
    E -- Yes --> F[Appropriate Aldosterone Secretion]
    E -- No --> G[Hypoaldosteronism / Type IV RTA]
    D -- Hypokalemia < 3.5 --> H{TTKG < 3.0?}
    H -- Yes --> I[Appropriate Extra-Renal K Loss]
    H -- No --> J[Inappropriate Renal K Wasting]

Features

  • Zero PIP Dependencies: Implemented strictly with Python Standard Library (math, json, sys, typing).
  • Physiological Verification: Automatically validates urine-to-plasma osmolality ratio and distal sodium delivery conditions.
  • Electrolyte Precision: Rigorous algorithmic discrimination between mineralocorticoid deficiency, excess, and extra-renal losses.
  • Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.

Quickstart

python example_usage.py

License

Apache-2.0

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