Oculomotor Saccadic Main Sequence Skill

Zero-dependency sovereign personal agent skill for non-invasive evaluation of Oculomotor Saccadic Main Sequence peak velocity saturation, reaction latency, antisaccade directional error rate, and frontal executive inhibitory control.

flowchart TD
    VisualTarget["Peripheral Visual Target Jump (Eccentricity 5-30 deg)"] --> SuperiorColliculus["Superior Colliculus & FEF Burst Generation"]
    SuperiorColliculus --> PPRF["Paramedian Pontine Reticular Formation (PPRF)"]
    PPRF --> MainSeq["Main Sequence Peak Velocity Saturation (Vmax vs Amp)"]
    VisualTarget --> DLPFC["Dorsolateral Prefrontal Cortex (Antisaccade Inversion)"]
    DLPFC --> ErrorCalc["Antisaccade Directional Error Rate (%)"]
    MainSeq & ErrorCalc --> ExecutiveEngine["Saccadic Neuro-Kinetic & Executive Alertness Score"]
    ExecutiveEngine --> Agent["OpenClaw / Hermes Personal Agent Focus Gating"]

Features

• Deterministic Math: Pure Python standard library implementation with zero external dependencies.
• Oculomotor Electrophysiology Standards: Formulates Bahill exponential saturation main sequence curves, latency distribution, and antisaccade inhibition.
• Cognitive Distractibility & Sedation Screening: Detects brainstem burst neuron deceleration and loss of prefrontal executive gating.
• Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Quickstart

from client import OculomotorSaccadicMainSequenceClient

client = OculomotorSaccadicMainSequenceClient()
result = client.evaluate_saccadic_kinetics(
    amplitude_deg=10.0,
    peak_velocity_deg_s=335.0,
    latency_ms=205.0
)
print("Main Sequence Ratio:", result["main_sequence_ratio"])
print("Executive Score:", result["saccadic_executive_score"])
print("Classification:", result["classification"])

License

Apache-2.0