genpark-personal-agent-ocular-vestibulo-ocular-reflex-vor-gain-skill
mcp
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- License — License: MIT
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Deterministic personal agent skill for evaluating Vestibulo-Ocular Reflex (VOR) gain, bilateral semicircular canal asymmetry, corrective catch-up saccades, and gaze stabilization.
README.md
Vestibulo-Ocular Reflex (VOR) Gain & Gaze Stabilization Skill
A sovereign personal agent capability for computational neuro-otology, evaluating angular Vestibulo-Ocular Reflex (VOR) gain, bilateral semicircular canal asymmetry, and dynamic visual acuity.
Architecture
flowchart TD
ImpulseData["Head Impulse Kinematics: Head Velocity & Eye Velocity (deg/s)"] --> GainEngine["VOR Gain Engine = abs(Eye Velocity) / abs(Head Velocity)"]
GainEngine --> SaccadeAudit["Corrective Saccade Audit (Covert vs Overt Retinal Slip)"]
GainEngine --> AsymmetryCalc["Contralateral Canal Asymmetry: |Gain_L - Gain_R| / (Gain_L + Gain_R) * 100%"]
SaccadeAudit & AsymmetryCalc --> VOSI["Vestibulo-Ocular Stability Index (VOSI: 0 - 100)"]
VOSI --> TherapyPlan["OpenClaw / Hermes Vestibular Adaptation (VOR x1) Prescriptions"]
Quickstart
from client import VestibuloOcularReflexClient
client = VestibuloOcularReflexClient()
# Assess horizontal canal head impulse test (vHIT)
res = client.evaluate_vor_gain(
head_velocity_deg_s=195.0,
eye_velocity_deg_s=184.0,
canal_plane="horizontal_lateral",
has_covert_saccade=False,
has_overt_saccade=False
)
print("VOR Gain:", res["vor_gain"])
print("Stability Index:", res["vestibulo_ocular_stability_index"], "/ 100")
print("Status:", res["status"])
MCP Server Integration
Add to your claude_desktop_config.json or OpenClaw tool registry:
{
"mcpServers": {
"vor-gain": {
"command": "python",
"args": ["/path/to/genpark-personal-agent-ocular-vestibulo-ocular-reflex-vor-gain-skill/mcp_server.py"]
}
}
}
License
MIT License.
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