canary

Monitor live web applications for console errors and page failures post-deployment.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/SoSoBurner/GStack --skill canary-sosoburner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/SoSoBurner/GStack/tree/main/canary
Command: npx skills add https://github.com/SoSoBurner/GStack --skill canary-sosoburner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Bash, Read, Write, Glob, AskUserQuestion, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides post-deploy monitoring to catch console errors, performance regressions, and page failures in live applications.

Core Features & Use Cases

  • Console Error Monitoring: Detects and reports console errors in real-time.
  • Performance Regression Detection: Monitors and alerts on performance issues.
  • Page Failure Monitoring: Identifies and reports page failures.
  • Screenshot Comparison: Takes periodic screenshots and compares them against pre-deploy baselines for anomalies.
  • Alerting: Notifies on detected anomalies.
  • Use Case: After deploying a new version of an application, use this Skill to ensure that the application is functioning correctly without manual monitoring.

Quick Start

Run /canary <url> to monitor the application at the specified URL for 10 minutes after deployment.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor my live web app for errors after a deployment?

Post-deploy monitoring tools watch live web applications for console errors, performance regressions, and page failures. You can run automated checks against your specified URL to detect anomalies shortly after deployment.

What is canary release monitoring and how does screenshot comparison work?

Canary release monitoring tracks live applications for post-deploy regressions by taking periodic screenshots and comparing them against pre-deploy baselines to identify visual or functional anomalies.

How do I detect performance regressions in my web application automatically?

Automated performance regression detection monitors live web applications and alerts you when performance issues or page failures occur post-deployment, removing the need for manual checks.

Do I need Bash to run post-deploy monitoring for console errors?

Yes, post-deploy monitoring requires Bash, along with Read, Write, Glob, and AskUserQuestion capabilities, to execute scripts and monitor the live application URL for console errors.

Can I use screenshot comparison against a pre-deploy baseline to find page failures?

Yes, screenshot comparison captures periodic screenshots of your live web application and compares them against pre-deploy baselines to identify visual anomalies and page failures.

What is the best way to check for console errors after deploying a new application version?

The best way to check for console errors after deploying is using an automated post-deploy monitoring tool that watches your live application URL and alerts you on detected anomalies.