canary-watch

What this skill does

When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.

---
name: canary-watch
description: Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.
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?
7. Static Assets — are JS, CSS, image, and font requests returning 2xx/3xx with expected content types?
8. SSE Streams — do event-stream endpoints connect and receive an initial event or heartbeat?
```

### 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
  - Static asset returns 4xx/5xx
  - SSE endpoint cannot connect or drops before first heartbeat

warning:   # flag in report
  - LCP increased > 500ms from baseline
  - CLS > 0.1
  - New console warnings
  - Response time >

Use this skill

{
  "model": "gpt-4o-mini",
  "skill": "imp-8a4e5ef4-7a46-4693-a836-294bf5b092ed",
  "messages": [{ "role": "user", "content": "…" }]
}

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