canary

Monitors deployed applications for console errors, performance regressions, and page failures.

Updated Aug 9, 2026
One-click install
npx skills add https://github.com/raghavbadhwar/rstack --skill canary-raghavbadhwar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/raghavbadhwar/rstack/tree/main/canary
Command: npx skills add https://github.com/raghavbadhwar/rstack --skill canary-raghavbadhwar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? After a deployment, teams often lack immediate visibility into whether the live application is actually healthy. This Skill watches the running app for console errors, performance regressions, and page failures so problems are caught before users report them. ## Core Features & Use Cases - Post-deploy monitoring: Watches the live app through the browse daemon for console errors and page failures after a release. - Baseline comparison: Takes periodic screenshots and compares them against pre-deploy baselines to detect visual or behavioral anomalies. - Anomaly alerting: Flags regressions and unexpected behavior so the team can react quickly. - Use Case: After shipping a new release, ask the agent to monitor the deployment; it will periodically check the live site, compare against the pre-deploy baseline, and alert you if errors or regressions appear. ## Quick Start Ask the agent to monitor the deployment and watch the live app for errors or regressions against the pre-deploy baseline.

Frequently Asked Questions about canary

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

FAQPage Schema
How do I monitor my app after a deployment?

Invoke the canary skill after deploying. It watches the live app through the browse daemon, checking for console errors, performance regressions, and page failures, and alerts you when anomalies appear.

What is a canary check in a deployment workflow?

A canary check verifies a freshly deployed application is healthy before fully trusting the release. This skill performs it by taking periodic screenshots, comparing them against pre-deploy baselines, and flagging errors or regressions.

Can I compare the live site against a pre-deploy baseline?

Yes. The skill captures periodic screenshots of the live app and compares them against pre-deploy baselines to detect visual or behavioral anomalies introduced by the release.

What kinds of problems does post-deploy monitoring detect?

It detects console errors, performance regressions, and page failures on the live application. Anomalies are surfaced as alerts so the team can investigate before users are broadly affected.

When should I not rely on canary monitoring alone?

Canary monitoring observes externally visible symptoms like errors and page failures; it does not replace pre-deploy testing or deep backend health checks. Combine it with QA and review workflows for full release confidence.