Monitor live apps for console errors and performance regressions post-deploy.
npx skills add https://github.com/vnmoorthy/Skylog --skill canary-vnmoorthy
Please help me install this Agent Skill. Skill: canary Source: https://github.com/vnmoorthy/Skylog/tree/main/.claude/skills/gstack/canary Command: npx skills add https://github.com/vnmoorthy/Skylog --skill canary-vnmoorthy
Post-deploy monitoring detects console errors, performance regressions, and page failures in the live app. It watches the production build, captures periodic screenshots, and compares them against pre-deploy baselines to catch regressions early.
Execute the canary skill after deployment to begin automated health monitoring of the production environment.
High-intent search queries and answers about installing and using this skill.
To monitor a live app for post-deploy console errors and performance regressions, execute the canary skill after deployment to begin automated health monitoring of the production environment. It uses the browse daemon to watch the live app and capture periodic screenshots.
Baseline comparison for anomaly detection works by taking periodic screenshots of the live app and comparing them against pre-deploy baselines. This visual and performance comparison detects regressions early and generates alerts when anomalies are detected.
Yes, you need the browse daemon to run canary checks in production. It is required to watch the live app for console errors, performance regressions, and page failures, and to capture the periodic screenshots needed for baseline comparisons.
The best way to verify deployment health across environments is to apply post-deploy canary monitoring. It watches the production build, compares periodic screenshots to pre-deploy baselines, and issues real-time anomaly alerts to catch regressions early.
Post-deploy canary monitoring takes periodic screenshots to compare them against pre-deploy baselines. This mechanism detects visual and performance anomalies in the live app, triggering alerts when regressions or page failures are identified.
You should use canary checks for post-deploy verification during deployment and in production to monitor health. It is applied to catch console errors, performance regressions, and page failures early by comparing the live app against pre-deploy baselines.
anishs1207Monitor live URLs with the browse daemon and visual baselines to detect post-deploy failures.
aspectrrDetects production issues via console errors, network requests, and performance regressions.
vib795Monitor live production endpoints for console errors and performance regressions.
imonmiMonitor production deployments for console errors, performance regressions, and page failures.
