A
licenseNot graded
qualityB
maintenanceEnables agents to compute deterministic constriction kinetics, autonomic tone, and alertness metrics from pupillometry inputs through native JSON-RPC tool integration.
7
MIT
Oculomotor Saccadic Main Sequence Skill
by Alpha-Park
Integrates with the Hermes personal agent to provide saccadic main-sequence, latency, antisaccade error, and executive alertness scores for focus gating and cognitive distractibility screening.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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.
Related MCP server: Quantitative Pupillary Light Reflex (PLR) Skill
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
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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