genpark-personal-agent-ocular-contrast-sensitivity-pelli-robson-skill
mcp
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Deterministic personal agent skill for calculating Pelli-Robson contrast sensitivity, logCS degradation score, visual functional acuity, and photopic glare recovery.
README.md
Visual Contrast Sensitivity (Pelli-Robson) Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Visual Contrast Sensitivity Function (CSF), Pelli-Robson chart log scores, and digital display ergonomics.
flowchart TD
LetterTriplets["Pelli-Robson Chart Letter Triplets (1 m distance)"] --> LogScore["Log Contrast Sensitivity Score (0.00 - 2.25)"]
LogScore --> WeberFormula["Weber Physical Contrast Percentage (10^-log * 100)"]
WeberFormula --> AcuityEngine["Visual Contrast Acuity & Glare Resilience Engine"]
AcuityEngine --> Agent["OpenClaw / Hermes Personal Agent Actions"]
Features
- Deterministic Math: Pure Python standard library implementation with zero external dependencies.
- Clinical Psychophysical Standards: Implements validated logarithmic Pelli-Robson formulas.
- Display Readability & Glare Stratification: Direct quantification of visual edge sharpness under digital screen work.
- Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Quickstart
from client import OcularContrastSensitivityClient
client = OcularContrastSensitivityClient()
result = client.evaluate_contrast_sensitivity(
log_contrast_score=1.80
)
print("Weber Contrast Threshold:", result["weber_contrast_threshold_pct"], "%")
print("Classification:", result["classification"])
License
Apache-2.0
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