version: "1.0.1" name: smoke-test description: "Launch the app and hands-on verify that it works by interacting with it. Falls back to an existing integration test suite when there is no interactive surface in scope. Use when the user asks to \"smoke test\", \"test it manually\", \"verify it works\", \"try it out\", \"run a smoke test\", \"check it in the browser\", or \"does it actually work\". Not a unit test runner."

Smoke Test

Launch the app and hands-on verify that it works by interacting with it. Every smoke test is a concrete interaction with the running app: navigating a screen, clicking a control, filling a form, running a CLI command, and observing the result.

Step 1: Determine Scope

Resolve scope using the first match:

1. User-specified — the user says what to test. Use that.
2. PR — a PR URL or number is provided. Fetch the PR details (title, description, changed files, comments) and read the changed code.
3. Conversation context — prior conversation contains recent work (a feature, fix, or refactor). Extract what changed, where it lives, and expected behavior.
4. App-level discovery — fresh context with no prior work. Examine the project (entry points, routes, commands, README) to identify the app's core user-facing flows. Design tests that verify the app launches and its primary functionality works end-to-end.

Step 2: Determine Testing Approach

Always check for project-specific testing skills or MCP tools first. Use the fallbacks below when nothing project-specific is available:

• Web app → browser-use@openai-bundled plugin
• UI/native app → computer-use@openai-bundled plugin
• CLI tool → direct terminal execution
• Library with no entry point → report that smoke testing is not applicable and stop

Step 3: Plan Smoke Tests

Before drafting tests, check whether there is something to exercise:

• No user-visible change in the resolved scope — look for an existing integration test target that covers the change and is not part of the default test suite (so it hasn't already run in this session). If one exists, run it via the Integration Test Path in Step 4. If nothing exists, report that there is no interactive surface to verify and no separate integration suite to fall back on, then stop.
• Required infrastructure cannot be stood up in this session (backend service, auth provider, seed data, external dependency) — report blocked, naming what is missing, then stop.

Otherwise, design targeted smoke tests. Each test should:

1. Exercise a specific flow from the determined scope
2. Verify the happy path works end-to-end
3. Check one obvious edge case if applicable

Output the plan as text:

Smoke Test Plan:
1. [Interaction with the running app] — what the interaction verifies
2. [Interaction with the running app] — what the interaction verifies
3. [Interaction with the running app] — what the interaction verifies
 
Approach: [browser-use@openai-bundled / computer-use@openai-bundled / terminal]
Dev server command: [command]

Step 4: Execute

If a project-specific testing skill or MCP tool was identified in Step 2, use that. The paths below are fallbacks.

Web App Path

Start the dev server if not already running. Wait for it to be ready. Use the browser-use@openai-bundled plugin to interact with the app.

Core verification loop per test:

1. Navigate to the relevant page/route
2. Snapshot and verify expected UI elements exist
3. Interact (fill forms, click buttons, navigate)
4. Re-snapshot and verify the expected outcome
5. Record pass/fail

Close the browser session and stop the dev server when done.

UI/Native App Path

Launch the app. Use the computer-use@openai-bundled plugin to interact with the UI.

Core verification loop per test:

1. Capture the UI state
2. Interact with the relevant controls
3. Re-capture and verify the expected outcome
4. Record pass/fail

CLI Path

Run commands directly.

Core verification loop per test:

1. Run the command with expected inputs
2. Check stdout/stderr for expected output
3. Verify side effects (files created, data changed)
4. Record pass/fail

Integration Test Path

Fallback when Step 3 routed here because nothing was interactive. Run the discovered target. Tail output in a background shell for long-running suites so failures surface as they happen.

Core verification loop per run:

1. Run the command
2. Capture exit code and the relevant summary output
3. Record pass/fail per named test when the output exposes them, otherwise overall

Do not invent a target if none was found in Step 3 — that gate already stopped.

Step 5: Report

Present a summary:

Smoke Test Results:
- [PASS] Test 1: description
- [FAIL] Test 2: description — [what went wrong]
- [PASS] Test 3: description
 
Overall: X/Y passed

If any test failed, include the relevant snapshot, screenshot, or output showing the failure.

Then update or check the active plan and proceed to any remaining task.

Rules

• Always clean up: close browser sessions, stop dev servers started by this skill.
• Never modify code. This skill is read-only verification. If a test fails, report the failure — do not attempt to fix it.
• If the dev server fails to start, report the error and stop.
• Keep tests focused on the determined scope.
• Tail app logs in a background shell for errors or warnings while verifying, so backend failures surface alongside UI checks.
• After the last UI interaction, perform one additional log read or status check before reporting. Background-shell output that lands after the agent emits final text is not surfaced, so the extra action gives it time to appear in a polled read. Matters most when this skill runs inside a sub-agent.
• To diagnose failures, run the $investigate skill on the smoke test report.