What problem does it solve? It answers whether a URL is getting worse over time by reading WebMobAI's persisted run history and comparing the latest run against the median of prior runs, so you catch performance, accessibility, and console-error regressions instead of relying on one-off snapshots. ## Core Features & Use Cases - Run History Trends: Reads ~/.webmobai/history.json via webmobai_get_run_history to show LCP, CLS, FCP, pass rates, and error counts across past runs for a URL. - Regression Detection: Compares the latest run against a configurable median baseline using webmobai_check_regressions, tagging each of seven metrics as regression, improvement, or noise. - Continuous Monitoring Setup: Documents the webmobai-monitor binary for scheduled runs with webhook alerts, including its fixed ±10% threshold and its inability to handle authenticated pages. - Use Case: After a deploy, ask whether LCP regressed on your staging site; the skill checks the latest run against the median of the last five runs and reports the exact delta with a plain-language verdict. ## Quick Start Ask the AI to check whether https://example.com has regressed compared to its recent test history.