canary

Monitor live applications for console errors, performance regressions, and page failures.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/gaaschk/gaasch-family --skill canary-gaaschk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/gaaschk/gaasch-family/tree/main/.claude/skills/gstack/canary
Command: npx skills add https://github.com/gaaschk/gaasch-family --skill canary-gaaschk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring watches the live app for console errors, performance regressions, and page failures using the browse daemon. It takes periodic screenshots, compares against pre-deploy baselines, and alerts on anomalies. Use when: "monitor deploy", "canary", "post-deploy check", "watch production", "verify deploy".

Core Features & Use Cases

  • Continuous post-deploy health checks across production pages with automatic baselines.
  • Real-time detection of console errors, slowdowns, and page failures with visual evidence.
  • Baseline capture and regression alerts, plus optional telemetry and reporting.

Quick Start

Launch canary monitoring for the target URL and let it collect baselines and run checks for the defined duration.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor my production application for regressions after a deploy?

Post-deploy canary monitoring tracks live application health by capturing baselines, taking periodic screenshots, and emitting automated alerts when console errors, slowdowns, or page failures are detected. It uses the browse daemon to continuously verify your deploy.

What is a canary workflow for post-deploy checks?

A canary workflow defines a process to watch production pages after a release, comparing real-time telemetry and screenshots against pre-deploy baselines to detect performance regressions and page failures automatically.

How do I capture pre-deploy baselines for production monitoring?

You capture baselines by launching the monitoring workflow against your target URL before deploying, allowing the browse daemon to record initial performance metrics and visual states for later comparison.

Does post-deploy monitoring provide visual evidence of page failures?

Yes, post-deploy canary monitoring takes periodic screenshots of the live application, providing visual evidence alongside automated alerts when anomalies like console errors or slowdowns are detected.

Can I run continuous health checks across multiple production pages?

Yes, canary monitoring runs continuous post-deploy health checks across production pages, using the browse daemon to watch for console errors and performance regressions for a defined duration.