canary

Monitor live production endpoints for console errors and performance regressions.

Updated Apr 16, 2026

Search Tags:#monitoring #observability #alerts #canary #anomaly-detection #web-app #post-deploy

Ready to run

npx skills add https://github.com/vib795/copilot-anatomy --skill canary-vib795

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/vib795/copilot-anatomy/tree/main/.github/skills/gstack-canary
Command: npx skills add https://github.com/vib795/copilot-anatomy --skill canary-vib795

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring to catch issues early by observing live traffic.

Core Features & Use Cases

Watches the live app for console errors, performance regressions, and page failures using the browse daemon.
Takes periodic screenshots and compares them against pre-deploy baselines.
Generates alerts when anomalies are detected and supports post-deploy checks.

Quick Start

Run the canary skill after deploying to automatically monitor the live app and alert on anomalies.

Frequently Asked Questions about canary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I monitor a web app for errors after deployment?▼

Post-deploy canary monitoring works by applying periodic checks to live production endpoints, capturing screenshots, and comparing them against pre-deploy baselines to detect console errors, page failures, and baseline drift using the browse daemon.

How do I detect performance regressions in live production?▼

You can detect performance regressions by running automated post-deploy checks that compare periodic screenshots and live endpoint behavior against pre-deploy baselines to identify anomalies and drift.

What is the best way to automate post-deploy checks for anomaly detection?▼

Automating post-deploy checks for anomaly detection is best handled by periodic screenshot capture and baseline comparisons against live endpoints, generating alerts when anomalies are detected using Bash-based tooling.

Does post-deploy canary monitoring work with existing production endpoints?▼

Yes, post-deploy canary monitoring applies directly to existing live production endpoints, observing live traffic and taking periodic screenshots to catch console errors and page failures without requiring dependencies.

When do I need baseline comparison for post-deploy monitoring?▼

You need baseline comparison for post-deploy monitoring when you want to detect baseline drift and visual regressions by comparing periodic screenshots captured from live production against pre-deploy states.