Osteopathic manipulative treatment represents a cornerstone of osteopathic medical education, yet the assessment of student competency in performing these techniques remains largely dependent on subjective instructor evaluation. This limitation introduces variability in grading standards and restricts the provision of actionable, quantitative feedback to learners. The present study introduces a proof-of-concept automated video analysis system designed to objectively evaluate osteopathic manipulative treatment technique execution through quantitative motion parameter analysis. A computational framework was developed incorporating optical flow algorithms, edge detection methods, and landmark tracking to quantify cervical spine motion during counterstrain technique performance. The system analyzes paired demonstration videos representing correct and incorrect technique execution, extracting angular displacement measurements for flexion, sidebending, and rotation movements. Validation testing using anterior cervical counterstrain techniques demonstrated that the automated system successfully distinguished between correct and incorrect performances, with the correct technique achieving all three therapeutic motion parameters (flexion of 18.1 degrees, right sidebending of 19.5 degrees, and right rotation of 68.6 degrees) while the incorrect technique exhibited reversed sidebending and rotation directions. The system generates comprehensive output reports containing both quantitative angular measurements and qualitative performance assessments. These findings establish the technical feasibility of this proof-of-concept automated motion analysis approach rather than a validated diagnostic tool, offering potential future applications in skills laboratory settings, simulation environments, and remote learning contexts where instructor availability may be limited.