running-smoke-tests
SKILL.md
Smoke Test Runner
Overview
Execute fast, high-confidence smoke tests that validate critical application functionality after deployment or build. Smoke tests verify that the application starts, core user flows work, and key integrations respond -- without running the full test suite.
Prerequisites
- Application deployed and accessible at a known URL or running locally
- HTTP client available (
curl,wget,node-fetch, or Playwright) - List of critical endpoints and user flows to validate
- Expected response codes and content patterns for each check
- CI/CD pipeline hook for post-deployment validation
Instructions
- Identify the critical paths that constitute a "working" application:
- Health check endpoint returns 200 with expected body.
- Homepage loads and contains key UI elements.
- Authentication flow succeeds with test credentials.
- Primary API endpoint returns valid data.
- Database connection is active and responding.
- Create a smoke test configuration listing each check:
- URL or command to execute.
- Expected HTTP status code (200, 301, etc.).
- Response body pattern to match (substring or regex).
- Maximum acceptable response time (e.g., 3 seconds).
- Write the smoke test suite as a lightweight script or test file:
- Use
curlfor HTTP checks or Playwright for browser-based checks. - Run checks sequentially for simplicity (parallel for speed if independent).
- Fail fast on the first critical failure.
- Log each check result with pass/fail, response time, and status code.
- Use
- Implement timeout guards:
- Set a global timeout of 60 seconds for the entire smoke suite.
- Set per-check timeouts of 5-10 seconds.
- Treat timeouts as failures, not retries.
- Add deployment-gate integration:
- On success: proceed with deployment promotion or traffic shifting.
- On failure: trigger rollback and send alert notification.
- Report results to CI/CD dashboard and Slack/Teams webhook.
- Store smoke test results as CI artifacts for audit trail.
- Schedule periodic smoke runs (every 5 minutes in production) as synthetic monitoring.
Output
- Smoke test script (
scripts/smoke-test.shortests/smoke.test.ts) - Pass/fail result for each critical check with response times
- Deployment gate verdict (PASS or FAIL with reason)
- CI artifact with timestamped smoke test log
- Alert payload for failed checks (Slack webhook, PagerDuty, etc.)
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Connection refused | Application not yet ready after deployment | Add a startup wait with exponential backoff (max 30 seconds) before running smoke tests |
| 503 Service Unavailable | Application is starting or behind a load balancer draining | Retry with 2-second delay up to 3 times; check load balancer health check status |
| Unexpected redirect (301/302) | URL changed or SSL redirect not accounted for | Follow redirects with curl -L; update expected URLs in smoke config |
| Content mismatch | Page content changed but smoke test pattern is too specific | Use broad patterns (check for <title> or key element IDs, not exact text) |
| Timeout on database check | Database migration running or connection pool exhausted | Increase timeout for database checks; verify migration completed before smoke tests |
Examples
Shell-based smoke test script:
#!/bin/bash
set -e
BASE_URL="${1:-http://localhost:3000}" # 3000: 3 seconds in ms
PASS=0; FAIL=0
check() {
local name="$1" url="$2" expected="$3"
status=$(curl -s -o /dev/null -w '%{http_code}' --max-time 5 "$url")
if [ "$status" = "$expected" ]; then
echo "PASS: $name (HTTP $status)"
((PASS++))
else
echo "FAIL: $name (expected $expected, got $status)"
((FAIL++))
fi
}
check "Health check" "$BASE_URL/health" "200" # HTTP 200 OK
check "Homepage" "$BASE_URL/" "200" # HTTP 200 OK
check "API status" "$BASE_URL/api/status" "200" # HTTP 200 OK
check "Login page" "$BASE_URL/login" "200" # HTTP 200 OK
echo "Results: $PASS passed, $FAIL failed"
[ "$FAIL" -eq 0 ] || exit 1
Playwright smoke test:
import { test, expect } from '@playwright/test';
test('homepage loads with navigation', async ({ page }) => {
await page.goto('/', { timeout: 10000 }); # 10000: 10 seconds in ms
await expect(page.locator('nav')).toBeVisible();
await expect(page).toHaveTitle(/My App/);
});
test('API health endpoint responds', async ({ request }) => {
const response = await request.get('/api/health');
expect(response.ok()).toBeTruthy();
expect(await response.json()).toHaveProperty('status', 'ok');
});
Resources
- Smoke testing methodology: https://martinfowler.com/bliki/SmokeTest.html
- Playwright API testing: https://playwright.dev/docs/api-testing
- curl documentation: https://curl.se/docs/manpage.html
- GitHub Actions deployment gates: https://docs.github.com/en/actions/deployment/targeting-different-environments/using-environments-for-deployment
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jeremylongshore…s-skillsGitHub Stars
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Feb 1, 2026
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