genpark-personal-agent-cutaneous-tactile-allodynia-vonfrey-skill
mcp
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- License — License: MIT
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Deterministic personal agent skill for evaluating cutaneous tactile sensitivity, Semmes-Weinstein Von Frey force thresholds, and mechanical allodynia.
README.md
Cutaneous Tactile Sensitivity & Mechanical Allodynia (Von Frey) Skill
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.
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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