canary

Monitor live app health and alert on regressions during deployments.

Updated Apr 2, 2026

Search Tags:#monitoring #deployment #screenshots #production #alerts #baseline #canary

Ready to run

npx skills add https://github.com/jonkiky/ccdi-federation-ai --skill canary-jonkiky

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/jonkiky/ccdi-federation-ai/tree/main/.agents/canary
Command: npx skills add https://github.com/jonkiky/ccdi-federation-ai --skill canary-jonkiky

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Canary monitoring helps teams detect console errors, performance regressions, and page failures in live apps after deployment, enabling faster remediation.

Core Features & Use Cases

Live health monitoring of production apps using the browse daemon, with periodic screenshots and baseline comparisons to detect anomalies.
Alerts on detected issues, enabling rapid rollback or fix during post-deploy verification and production checks.
Use cases include post-deploy checks, production monitoring, and ongoing health surveillance during feature rollouts.

Quick Start

Run this skill after deployment to start baseline-aware monitoring and alerting on anomalies.

Frequently Asked Questions about canary

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

FAQPage Schema

How do I monitor production apps for health regressions after a deployment?▼

Post-deploy canary monitoring identifies health regressions in live applications by tracking console errors, performance metrics, and page failures. It compares periodic screenshots against pre-deploy baselines to detect anomalies.

What is the best way to validate feature rollouts in production?▼

Validating feature rollouts requires ongoing health surveillance using baseline comparisons. Canary monitoring tracks live application metrics and page failures, alerting on detected issues to enable rapid rollback or fixes.

How do canary checks detect console errors and performance anomalies during deployments?▼

Canary checks detect anomalies by running post-deploy production monitoring that compares live screenshots and metrics against a pre-deploy baseline. This comparison identifies new console errors and performance regressions.

Does canary monitoring integrate with the browse daemon for live application checks?▼

Yes, canary monitoring integrates with the browse daemon to perform live health monitoring of production apps. It takes periodic screenshots and validates deterministic tasks using scripts and references directed by SKILL.md.

When do I need baseline comparisons for post-deploy verification?▼

Baseline comparisons are needed during post-deploy verification to accurately identify anomalies. By capturing the pre-deploy state, canary monitoring detects new page failures, console errors, and performance issues after deployment.

Can I use scripts to automate deterministic canary monitoring tasks?▼

Yes, canary monitoring supports deterministic tasks via scripts, references, and assets as directed by SKILL.md. This automates post-deploy checks and production monitoring during feature rollouts.