PluginBench
Skill
Review
Audit score 70

canary-watch

affaan-m/everything-claude-code

Monitor deployed URLs for regressions—checks endpoints, assets, performance, and console errors after releases.

What is canary-watch?

Canary Watch verifies a deployed application by monitoring HTTP status, console errors, performance metrics, static assets, API health, and SSE streams. Use it immediately after deployments, merges, or dependency upgrades to catch regressions before users do.

  • Monitor HTTP status codes and response health
  • Detect new console errors and warnings in real time
  • Track Core Web Vitals (LCP, CLS, INP) against baseline
  • Verify static assets (JS, CSS, images, fonts) load with correct content types
  • Check critical API endpoints for 5xx errors and SLA compliance
  • Monitor Server-Sent Events (SSE) streams for connectivity and heartbeat latency

How to install canary-watch

npx skills add https://github.com/affaan-m/everything-claude-code --skill canary-watch
Claude Code
Cursor
Windsurf
Cline

How to use canary-watch

  1. 1.Run a quick single-pass check: `/canary-watch https://myapp.com`
  2. 2.For sustained monitoring, specify interval and duration: `/canary-watch https://myapp.com --interval 5m --duration 2h`
  3. 3.To compare two environments: `/canary-watch --compare https://staging.myapp.com https://myapp.com`
  4. 4.Review the generated canary report for status, metrics, and any regressions detected
  5. 5.Check `~/.claude/canary-watch.log` for detailed logs and historical records

Use cases

Good for
  • Verify a production deployment is healthy immediately after release
  • Monitor a staging environment during a risky PR merge
  • Track performance metrics during a launch window to catch regressions early
  • Compare staging and production to identify environment-specific issues
  • Detect new console errors introduced by a dependency upgrade
Who it's for
  • DevOps engineers managing post-deploy verification
  • Frontend engineers verifying releases before announcing to users
  • QA teams running smoke tests after deployments
  • Platform teams automating canary checks in CI/CD pipelines
  • On-call engineers responding to deploy incidents

canary-watch FAQ

What counts as a critical alert?

HTTP status not 200, more than 5 new console errors, LCP > 4s, API endpoints returning 5xx, static assets returning 4xx/5xx, or SSE endpoints failing to connect or dropping before first heartbeat.

How does Canary Watch establish a baseline?

It compares current metrics against a stored baseline from the previous healthy deployment. You can also use `--compare` mode to directly compare staging vs production.

Can I integrate this into CI/CD?

Yes. Add it as a PostToolUse hook on `git push` to auto-check after deploys, or run it as a step in GitHub Actions after your deploy step completes.

What happens if a critical threshold is crossed?

You receive a desktop notification, an optional Slack/Discord webhook alert, and a detailed log entry in `~/.claude/canary-watch.log`.

Does it check third-party scripts and integrations?

Yes. It monitors all network requests and flags unexpected new third-party scripts or content type changes in static assets as warnings.

Full instructions (SKILL.md)

Source of truth, from affaan-m/everything-claude-code.


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. metadata: 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

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 > 2x baseline
  - Static asset content type changed unexpectedly
  - SSE heartbeat latency > 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 |
| Static assets | 42/42 ✓ | 42/42 | — |
| SSE /events | connected ✓ | connected | +80ms heartbeat |

### 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