What problem does it solve?
Verifying that a UI change or a replayed browser session matches a previously recorded baseline requires manually comparing screenshots and page structure step by step, which is slow and error-prone. This Skill automates pairwise comparison of two recorded sessions, pinpointing the first divergence and producing an aggregate similarity score.
Core Features & Use Cases
- Step-paired comparison: Matches steps across two sessions by step-id, flagging unmatched steps and diffing both screenshots and accessibility snapshots.
- Pixel and DOM diff modes: Reports MSE, PSNR, and diff bounding boxes for pixel mode, plus added/removed/changed nodes for DOM mode, with a configurable threshold.
- Replayable verdicts: Writes the diff verdict into a findings.md inside a new RVF container and tags both source sessions for future searchability.
- Use Case: After a UI change, record the same flow again and diff the new session against the baseline to catch visual regressions before release.
Quick Start
Ask the AI to diff recorded session A against session B with a 2 percent pixel threshold and report the first divergent step.