Monitor live production apps for console errors, latency regressions, and page failures.
npx skills add https://github.com/amanik/sailor-score-debug --skill canary-amanik
Please help me install this Agent Skill. Skill: canary Source: https://github.com/amanik/sailor-score-debug/tree/main/.claude/skills/gstack/canary Command: npx skills add https://github.com/amanik/sailor-score-debug --skill canary-amanik
Post-deploy Canary monitoring detects production issues that slip past CI by watching the live production app for console errors, latency regressions, and page failures, and by comparing against pre-deploy baselines.
Run a canary session against your URL to monitor production for a fixed duration and collect a baseline.
High-intent search queries and answers about installing and using this skill.
Monitor your production app post-deployment by running an automated browser watcher that checks for console errors, latency regressions, and page failures over a fixed duration to catch issues missed by CI.
Yes, you can capture a pre-deployment baseline of your live app. The watcher compares periodic screenshots and performance metrics against this baseline to trigger alerts on any anomalies.
The best way to detect page failures and console errors is using a dedicated canary watcher that runs continuous health checks via a browse daemon and alerts you when anomalies occur.
Yes, you need a browse daemon to run these post-deploy health checks. The watcher relies on a browser environment to take periodic screenshots, measure latency, and detect live page failures.
Post-deploy monitoring catches issues CI misses because it watches the live production environment directly, detecting real-time console errors, latency regressions, and broken pages under actual traffic conditions.
You can use it for both immediate post-deploy verification and ongoing production monitoring. The watcher runs continuous health checks across pages, capturing baselines and comparing screenshots to alert on anomalies anytime.
nuurproDetect post-deploy console errors, performance regressions, and page failures via the browse daemon.
Maccio-huangGenerate engineering runbooks with alerts, procedures, and incident checklists.
SeaLion-hubMerge pull requests, deploy to production, and verify canary health.
BradliebsMonitor live web apps for console errors, performance regressions, and visual anomalies.
