EEG-enabled earbuds represent a promising frontier in brain activity monitoring beyond traditional laboratory testing. Their discrete form factor and proximity to the brain make them the ideal candidate for the first generation of discrete non-invasive brain--computer interfaces (BCIs). However, this new technology will require comprehensive characterization before we see widespread consumer and health-related usage. To address this need, we developed a validation toolkit that aims to facilitate and expand the assessment of ear-EEG devices. The validation toolkit includes: 1. EaR-P Lab: a Python application for running a test battery of 9 different EEG paradigms (including auditory and visual transient and steady-state response paradigms) 2. A step-by-step guide to building your own ear-EEG phantom for controlled, ear-specific EEG hardware testing (compares salt-doped Agar, salt-doped ballistic gelatin and carbon fibre-doped silicone phantom materials) You can read al the details about both components in our paper. **LINK TO PUBLICATION:** https://www.mdpi.com/1424-8220/24/4/1226