canary

Monitor live apps for console errors and performance regressions after deployment.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/Kakarottoooo/onegent --skill canary-kakarottoooo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/Kakarottoooo/onegent/tree/main/.agents/skills/gstack/canary
Command: npx skills add https://github.com/Kakarottoooo/onegent --skill canary-kakarottoooo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Canary monitoring post-deploy helps detect silent failures, regressions, and anomalies before users notice, by continuously observing console output, performance, and page health.

Core Features & Use Cases

  • Continuous post-deploy monitoring with console error detection, performance baselines, and screenshot-based anomaly alerts.
  • Baseline management and optional telemetry to improve deployment confidence across production environments.
  • Real-time guidance via AskUserQuestion for decision-making during Canary-triggered events.

Quick Start

Monitor your live app for 10 minutes after deployment using the canary skill.

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 app for errors after a deploy?

Post-deploy canary monitoring uses a browser daemon to continuously observe your live app for console errors, performance regressions, and page failures. It captures baselines and alerts you to anomalies after deployment.

What is canary monitoring and when do I need it for my release?

Canary monitoring detects silent failures and regressions before users notice by observing console output and page health. You need it after deploying to production environments to verify release reliability.

How do I capture performance baselines before monitoring my live app?

Performance baselines are captured and stored in your project directory using Bash-based tooling. These baselines improve deployment confidence by providing a reference point for detecting anomalies during post-deploy monitoring.

Does post-deploy canary monitoring work with Bash-based workflows?

Yes, canary monitoring relies on Bash-based tooling and the gstack workflow. It supports optional telemetry and stores baselines in your project directory, requiring no additional dependencies.

What happens when console errors or page failures are detected during canary monitoring?

When issues are detected, the monitoring system provides screenshot-based anomaly alerts and prompts you with AskUserQuestion for guided remediation decisions. This real-time guidance helps you decide how to handle Canary-triggered events.

Can I limit canary monitoring to specific pages in my production environment?

Yes, post-deploy canary monitoring covers selected pages in your production environment. You specify which pages to observe while the browser daemon continuously checks for console errors and performance regressions.