A
licenseNot graded
qualityB
maintenanceEnables agents to compute deterministic constriction kinetics, autonomic tone, and alertness metrics from pupillometry inputs through native JSON-RPC tool integration.
7
MIT
Cutaneous Cold-Induced Vasodilation (CIVD) Skill
by alphaparkinc
Provides CIVD-derived thermal prescriptions and cold-resilience assessments to Hermes personal agents.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Cutaneous Cold-Induced Vasodilation (CIVD) Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Cutaneous Cold-Induced Vasodilation (CIVD), Lewis hunting reaction, rewarming amplitude, and peripheral cold injury resilience.
flowchart TD
ColdChallenge["Local Cold Immersion Challenge (5 deg C)"] --> Vasoconstriction["Initial Sympathetic Vasoconstriction Nadir (Tmin)"]
Vasoconstriction --> AxonReflex["Sensory Neuropeptide Release (CGRP / Substance P)"]
AxonReflex --> AVADilation["Arteriovenous Anastomosis (AVA) Hunting Wave Onset (tonset)"]
AVADilation --> Rewarming["Peak Periodic Rewarming Amplitude (Tpeak - Tmin)"]
Rewarming --> CIVDScore["Peripheral Cold Tolerance & Vasomotor Resilience Engine"]
CIVDScore --> Agent["OpenClaw / Hermes Personal Agent Thermal Prescriptions"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Environmental Physiology Standards: Implements validated equations for Lewis hunting reaction, rewarming amplitude, and hunting index.
Microvascular Cold Defense: Early screening for digital vasospasm, Raynaud's vulnerability, and cold injury predisposition.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: Quantitative Pupillary Light Reflex (PLR) Skill
Quickstart
from client import CutaneousCIVDClient
client = CutaneousCIVDClient()
result = client.evaluate_civd(
baseline_temp_c=33.2,
minimum_temp_c=9.2,
peak_rewarming_temp_c=15.0,
onset_time_min=6.2
)
print("Rebound Amplitude:", result["rebound_amplitude_deg_c"], "deg C")
print("Cold Resilience Score:", result["cold_resilience_score"])
print("Classification:", result["classification"])License
Apache-2.0
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