canary

Monitor live applications for console errors and performance issues post-deployment.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/simbotNL/BT --skill canary-simbotnl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/simbotNL/BT/tree/main/plugins/gstack/canary
Command: npx skills add https://github.com/simbotNL/BT --skill canary-simbotnl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures post-deploy monitoring by checking for console errors, performance regressions, and page failures in a live app, comparing against pre-deploy baselines, and alerting on anomalies.

Core Features & Use Cases

  • Post-Deploy Monitoring: Identifies errors and issues after a deployment.
  • Baseline Comparison: Compares live app performance with pre-deployed baselines.
  • Alerting: Alerts on anomalies detected during monitoring.
  • Use Case: Use this Skill after deploying an update to verify the stability of the app and detect any issues that might have been introduced.

Quick Start

Use the canary skill to monitor the deployment of the 'live-app'.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor live applications for console errors after a deployment?

Post-deploy monitoring checks live applications for console errors, performance issues, and page failures by comparing live metrics against pre-deployed baselines to detect anomalies.

What is a canary release check and when do I need to run one?

A canary release check verifies deployment stability by monitoring live app performance and console logs against a pre-deploy baseline. Run it after deploying an update to catch introduced issues.

How do I detect performance regressions in a live environment post-deployment?

Detect performance regressions by comparing current live application performance metrics and page resources against a pre-deployed baseline, which alerts on any detected anomalies or page failures.

Do I need console logs and performance metrics to verify deployment stability?

Yes, deployment verification requires access to console logs, performance metrics, and page resources to effectively compare the live environment against pre-deployed baselines and alert on anomalies.

Can I use baseline comparison for post-deploy error detection in live apps?

Yes, baseline comparison identifies post-deploy errors by monitoring live applications, comparing current console logs and performance metrics with pre-deployed baselines, and alerting on detected anomalies.

What are the limitations of post-deploy monitoring without a pre-deploy baseline?

Without a pre-deploy baseline, post-deploy monitoring cannot accurately detect performance regressions or anomalies, as there is no reference point to compare live console errors, performance metrics, and page resources against.