The Browser Screenshot Diff skill provides a robust framework for automated visual and structural verification by comparing two recorded browser sessions step-by-step. By aligning trajectories through unique step IDs, the skill performs a dual-mode analysis: pixel-level diffing to calculate visual similarity (MSE/PSNR) and accessibility tree inspection to identify structural DOM changes. This allows developers and QA engineers to quickly pinpoint the exact moment a web flow diverged, making it an essential tool for visual regression testing, A/B variant comparison, and verifying the accuracy of autonomous agent replays within the Ruflo ecosystem.
