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Visual Contrast Sensitivity (Pelli-Robson) Skill

by alphaparkinc
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Python
Remote

Visual Contrast Sensitivity (Pelli-Robson) Skill

License: Apache-2.0 Python 3.10+ Zero Dependencies MCP Protocol Ready OpenClaw Certified

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.

Related MCP server: Quantitative Pupillary Light Reflex (PLR) Skill

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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Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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