Canary Watch Post-Deploy Monitoring is a operations claude skill built by Affaan M. Best for: DevOps and backend engineers use this to catch production regressions immediately after deployments or merges..

What it does
Monitors deployed URLs for regressions across HTTP status, console errors, performance, and API health.
Category
operations
Created by
Affaan M
Last updated
Claude Skilloperations GitHub-backed CuratedintermediateClaude Code

Canary Watch Post-Deploy Monitoring

Monitors deployed URLs for regressions across HTTP status, console errors, performance, and API health.

Skill instructions


name: canary-watch description: Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades. origin: ECC

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

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-party scripts added?)

Notifications

When a critical threshold is crossed:

  • Desktop notification (macOS/Linux)
  • Optional: Slack/Discord webhook
  • Log to ~/.claude/canary-watch.log

Output

## Canary Report — myapp.com — 2026-03-23 03:15 PST

### Status: HEALTHY ✓

| Check | Result | Baseline | Delta |
|-------|--------|----------|-------|
| HTTP | 200 ✓ | 200 | — |
| Console errors | 0 ✓ | 0 | — |
| LCP | 1.8s ✓ | 1.6s | +200ms |
| CLS | 0.01 ✓ | 0.01 | — |
| API /health | 145ms ✓ | 120ms | +25ms |

### No regressions detected. Deploy is clean.

Integration

Pair with:

  • /browser-qa for pre-deploy verification
  • Hooks: add as a PostToolUse hook on git push to auto-check after deploys
  • CI: run in GitHub Actions after deploy step

Use this skill

Most skills are portable instruction packages. Claude Code supports SKILL.md directly. Other agents can use adapted files like AGENTS.md, .cursorrules, and GEMINI.md.

Claude Code

Save SKILL.md into your Claude Skills folder, then restart Claude Code.

mkdir -p ~/.claude/skills/canary-watch-post-deploy-monitoring && curl -L "https://raw.githubusercontent.com/affaan-m/everything-claude-code/HEAD/skills/canary-watch/SKILL.md" -o ~/.claude/skills/canary-watch-post-deploy-monitoring/SKILL.md

Installs to ~/.claude/skills/canary-watch-post-deploy-monitoring/SKILL.md.

Use cases

DevOps and backend engineers use this to catch production regressions immediately after deployments or merges.

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Stats

Installs0
GitHub Stars174.9k
Forks27058
LicenseMIT
UpdatedMar 27, 2026