canary

Monitor production web apps for console errors, performance regressions, and page failures.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/jeisenback/original-curse-killer --skill canary-jeisenback
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/jeisenback/original-curse-killer/tree/main/.claude/skills/canary
Command: npx skills add https://github.com/jeisenback/original-curse-killer --skill canary-jeisenback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring helps teams quickly verify production health by watching live apps for console errors, performance regressions, and page failures using a dedicated browse daemon. It takes periodic screenshots, compares against pre-deploy baselines, and raises timely alerts when anomalies are detected.

Core Features & Use Cases

  • Real-time post-deploy health checks across pages with baseline comparisons and alerting.
  • Baseline-aware canaries that can catch regressions before customers notice.
  • Use Case: After deploying a new release, run a canary against your production URL to ensure critical pages load correctly and there are no console errors.

Quick Start

Configure your production URL and baseline, then run the canary against the URL.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor production web apps for console errors after a deploy?

Post-deploy canary monitoring uses a browse daemon to check production web apps for console errors, performance regressions, and page failures after a new release. It takes periodic screenshots and raises alerts when anomalies are detected.

What is baseline-aware canary monitoring for performance regressions?

Baseline-aware canary monitoring captures pre-deploy page screenshots and compares them against live production pages. This mechanism catches visual and performance regressions before customers notice by detecting anomalies during periodic monitoring windows.

How do I set up periodic monitoring windows for post-deploy health checks?

Configure your production URL and pre-deploy baseline, then run the canary against the URL. The browse daemon takes periodic screenshots during the monitoring window to verify critical pages load correctly without console errors.

Can I target specific pages for post-deploy checks on web apps?

Yes, post-deploy canary monitoring supports page-target options for web apps. You can configure specific production URLs to monitor, allowing the browse daemon to capture screenshots and compare them against baselines for targeted health checks.

Do I need a browse daemon to detect page failures and console errors?

Yes, a browse daemon is required to take screenshots, compare against baselines, and detect page failures or console errors. It enables real-time post-deploy health checks by monitoring production URLs during periodic windows.

What are the limitations of using canary monitoring for post-deploy verification?

Canary monitoring applies specifically to post-deploy checks on web apps. It requires a pre-deploy baseline for effective regression detection and relies on a browse daemon to capture screenshots and generate alerts for production anomalies.