Cutaneous Sebaceous Lipogenesis Sebumetry Personal Agent Skill

Deterministic, zero-mock personal agent micro-skill for calculating Casual Sebum Level ($CSL$ in $\mu\text{g}/\text{cm}^2$) and Sebum Excretion Rate ($SER$ in $\mu\text{g}/(\text{cm}^2 \cdot \text{h})$) using photometric sebumetry to evaluate epidermal lipid barrier health.

Architecture

flowchart TD
    A[Photometric Sebumeter Tape Sampling] --> B[Measure Steady-State Casual Sebum Level CSL]
    B --> C[Post-Degreasing Sebum Accumulation Over Time]
    C --> D[Compute Sebum Excretion Rate SER = Delta S / Delta t]
    D --> E[Classify Alipic < 90 vs Eudermic vs Hyperseborrheic > 280]

Quickstart

from client import SebaceousLipogenesisClient

client = SebaceousLipogenesisClient()
result = client.evaluate_sebum_kinetics(
    casual_sebum_level_ug_cm2=145.0,
    reaccumulated_sebum_ug_cm2=2.3,
    accumulation_duration_hours=2.0
)
print(result)

License

Apache-2.0