canary-watch

Solid

Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.

AI & Automation 196,640 stars 30253 forks Updated 2 days ago MIT

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Skill Content

# Canary Watch — Post-Deploy Monitoring ## When to Use - After deploying to production or staging - After merging a risky PR - When you want to verify a fix actually fixed it - Continuous monitoring during a launch window - After dependency upgrades ## How It Works Monitors a deployed URL for regressions. Runs in a loop until stopped or until the watch window expires. ### What It Watches ``` 1. HTTP Status — is the page returning 200? 2. Console Errors — new errors that weren't there before? 3. Network Failures — failed API calls, 5xx responses? 4. Performance — LCP/CLS/INP regression vs baseline? 5. Content — did key elements disappear? (h1, nav, footer, CTA) 6. API Health — are critical endpoints responding within SLA? ``` ### Watch Modes **Quick check** (default): single pass, report results ``` /canary-watch https://myapp.com ``` **Sustained watch**: check every N minutes for M hours ``` /canary-watch https://myapp.com --interval 5m --duration 2h ``` **Diff mode**: compare staging vs production ``` /canary-watch --compare https://staging.myapp.com https://myapp.com ``` ### Alert Thresholds ```yaml critical: # immediate alert - HTTP status != 200 - Console error count > 5 (new errors only) - LCP > 4s - API endpoint returns 5xx warning: # flag in report - LCP increased > 500ms from baseline - CLS > 0.1 - New console warnings - Response time > 2x baseline info: # log only - Minor performance variance - New network requests (third-par...

Details

Author
affaan-m
Repository
affaan-m/everything-claude-code
Created
4 months ago
Last Updated
2 days ago
Language
JavaScript
License
MIT

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