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Cutaneous Tactile Sensitivity & Mechanical Allodynia (Von Frey) Skill

Cutaneous Tactile Sensitivity & Mechanical Allodynia (Von Frey) Skill

by Alpha-Park
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Python
Remote

Cutaneous Tactile Sensitivity & Mechanical Allodynia (Von Frey) 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 cutaneous mechanoreceptive tactile thresholds via Von Frey Semmes-Weinstein monofilaments and mechanical allodynia detection.

flowchart TD
    Monofilament["Von Frey Filament Bending Force (Grams / mg)"] --> SW_Formula["Semmes-Weinstein Logarithmic Scaling (log10(10*mg))"]
    SW_Formula --> ThresholdStrat["Psychophysical Sensory Stratification"]
    ThresholdStrat --> AcuityEngine["Tactile Acuity & Allodynia Scoring"]
    AcuityEngine --> Agent["OpenClaw / Hermes Personal Agent Actions"]

Features

  • Deterministic Math: Pure Python standard library implementation with zero external dependencies.

  • Clinical Neuro-Psychophysical Standards: Implements validated logarithmic force equations.

  • Sensory Blunting vs Allodynia Differentiation: Accurately classifies peripheral neuropathy vs central pain sensitization.

  • Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Related MCP server: Acoustic Startle Prepulse Inhibition (PPI) MCP Server

Quickstart

from client import CutaneousTactileVonFreyClient

client = CutaneousTactileVonFreyClient()
result = client.evaluate_tactile_threshold(
    applied_force_grams=0.04,
    detection_reported=True
)
print("SW Marking:", result["semmes_weinstein_marking"])
print("Classification:", result["classification"])

License

Apache-2.0

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