Cutaneous Two-Point Discrimination (2PD) Skill

A sovereign personal agent capability for computational tactile psychophysics, evaluating static and moving cutaneous two-point discrimination (2PD in mm), Merkel/Meissner spatial receptive density, and peripheral nerve health.

Architecture

flowchart TD
    TouchData["Tactile Discrimination Trials: Discriminated Distance (mm) & Success Ratio"] --> WeberEngine["Weber Static 2PD Classification Engine (Normal <= 5mm, Fair 6-10mm, Poor 11-15mm)"]
    TouchData --> MovingEngine["Dellon Dynamic Moving 2PD vs Static Dissociation Engine"]
    WeberEngine & MovingEngine --> STAS["Spatial Tactile Acuity Score (STAS: 0 - 100)"]
    STAS --> ErgonomicPrescription["OpenClaw / Hermes Carpal Tunnel Ergonomics & Sensory Training"]

Quickstart

from client import TwoPointDiscriminationClient

client = TwoPointDiscriminationClient()

# Assess static 2PD threshold at fingertip
res = client.evaluate_static_2pd(
    smallest_discriminated_distance_mm=3.2,
    anatomical_site="fingertip_pulp",
    correct_response_ratio=0.875
)

print("Discriminated Distance:", res["discriminated_distance_mm"], "mm")
print("Acuity Score:", res["spatial_tactile_acuity_score"], "/ 100")
print("Classification:", res["classification"])
print("Guidance:", res["actionable_guidance"])

MCP Server Integration

Add to your claude_desktop_config.json or OpenClaw tool registry:

{
  "mcpServers": {
    "two-point-discrimination": {
      "command": "python",
      "args": ["/path/to/genpark-personal-agent-cutaneous-two-point-discrimination-skill/mcp_server.py"]
    }
  }
}

License

MIT License.