genpark-personal-agent-cutaneous-tactile-allodynia-vonfrey-skill

mcp
Security Audit
Warn
Health Warn
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 7 GitHub stars
Code Pass
  • Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested

No AI report is available for this listing yet.

SUMMARY

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

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.

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

Reviews (0)

No results found