canary

Detect runtime errors and performance regressions in live deployments via Bash probes.

Updated Mar 27, 2026

Search Tags:#monitoring #production #alerts #canary #error-detection #post-deploy

Ready to run

npx skills add https://github.com/AlejandroFigini/artist-portfolio --skill canary-alejandrofigini

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/AlejandroFigini/artist-portfolio/tree/main/.agent/skills/canary
Command: npx skills add https://github.com/AlejandroFigini/artist-portfolio --skill canary-alejandrofigini

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring helps detect production issues that slip past tests by watching live app behavior and alerting on anomalies.

Core Features & Use Cases

Live error and performance monitoring across deployments
Periodic baseline comparisons against pre-deploy measurements
Automated alerts when anomalies are detected, with actionable details

Quick Start

Run the canary monitor after deploying to start collecting baselines and triggering alerts.

Frequently Asked Questions about canary

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

FAQPage Schema

What is post-deploy canary monitoring and how does it detect production errors?▼

Post-deploy canary monitoring observes live deployments by sampling production traffic and comparing runtime behavior against pre-deploy baselines to detect production errors and performance regressions that slip past tests.

How do I monitor a live deployment for runtime anomalies after a release?▼

Run the canary monitor after deploying to start collecting baselines, sample live traffic, and trigger automated alerts with actionable details when anomalies or performance regressions are detected in production.

Can I use interactive prompts during post-deploy canary monitoring?▼

Yes, the canary monitoring workflow integrates AskUserQuestion for interactive prompts when needed, alongside a Bash-based probe workflow using Read, Write, and Glob interfaces to observe production behavior.

What's the best way to catch performance regressions that pass automated tests?▼

Canary monitoring catches performance regressions by operating in post-deploy scenarios to watch live app behavior, compare periodic baselines against pre-deploy measurements, and alert on detected anomalies.

Does canary monitoring require any external dependencies or components?▼

No external dependencies or components are required; the canary monitor implements a self-contained Bash-based probe workflow with gstack integration for post-deploy production monitoring and alerting.