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E2e Testing

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ericrisco
e2e-testing

Use when writing or stabilizing Playwright tests that drive a real browser through multi-step journeys — durable locators, web-first assertions, storageState auth, trace/retries, and flakes that only bite in CI. NOT in-process component tests (that is testing-web), NOT WCAG auditing (that is accessibility), NOT the pre-merge gate (that is verify).

Overview

Publisherericrisco
Repositoryrsc-harness
Skill namee2e-testing
Stars
239
Forks
24
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ericrisco on GitHub. Read the source before you install it.

Installation

Install the E2e Testing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ericrisco/rsc-harness/tree/main/skills/e2e-testing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ericrisco/rsc-harness.git /tmp/rsc-harness
mkdir -p .claude/skills
cp -r /tmp/rsc-harness/skills/e2e-testing .claude/skills/e2e-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable E2e Testing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads E2e Testing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so E2e Testing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

e2e-testing — drive a real browser, keep it deterministic

You write Playwright tests that walk a real browser through real user journeys — log in, fill a form, check out, navigate across pages — and you keep those tests deterministic enough to gate a merge. The whole game is one tension: e2e tests catch integration bugs nothing else can, and they are the slowest, flakiest layer you own. Every rule below exists to buy back determinism.

Pin @playwright/test and provision browsers with npx playwright install --with-deps. Current line is Playwright v1.60.x (v1.60.0 shipped 2026-05-11). The _react / _vue selector engines and the :light Shadow-DOM suffix were removed in v1.58.0 — at any version you should be pinning they are long gone, so do not reach for them.

Is this even an e2e test?

E2e is the most expensive layer. Spend it only on journeys that cross pages or services. Route the rest out.

The goal is…LayerWhy
A multi-step journey across pages/auth/services in a real browsere2e (here)Only a real browser proves the pieces integrate.
One component or pure function, rendered in-process (Vitest/Jest, Testing Library)../testing-web/SKILL.mdA browser round-trip to test render logic is slow and flaky for no gain.
"Is this page accessible?" — WCAG/ARIA as the deliverable../accessibility/SKILL.mdE2e may call axe inside a test, but auditing a11y is its own skill.
"Is this page fast?" — LCP/CWV budgets../performance/SKILL.mdPerf budgets are a different signal than journey correctness.
The runner matrix, caching, the pipeline itself../github-actions/SKILL.mdE2e contributes a job; owning the pipeline is theirs.
"Is the change done?" — run the gate, collect evidence, then merge../verify/SKILL.mdRunning an existing suite as a pre-merge gate is not authoring or stabilizing one.

Rule: if you can prove it without launching a browser, you should. Push logic down to testing-web.

Locators: the priority ladder

Pick the highest rung that uniquely identifies the element. Higher rungs track what the user perceives, so they survive markup churn.

  1. getByRole('button', { name: 'Buy' }) — role + accessible name. Default choice; doubles as an a11y signal.
  2. getByLabel('Email') / getByPlaceholder(...) — form fields.
  3. getByText('Order confirmed') — visible copy that uniquely identifies content.
  4. getByTestId('cart-total') — when nothing user-facing is stable; requires a deliberate data-testid.
  5. CSS as a last resort, scoped and shallow.

Never XPath, never nth-child chains, never the removed _react/_vue/:light engines.

ts
// Bad — couples the test to DOM structure; one wrapper div breaks it.
await page.locator('div.card > button:nth-child(2)').click();

// Good — finds the button the way the user reads it.
await page.getByRole('button', { name: 'Buy' }).click();

Strict mode. A locator that matches two nodes throws — that is the framework catching an ambiguous selector for you. Tighten the locator (getByRole(...).and(...), scope with page.getByRole('listitem').filter({ hasText: 'Pro' })). Reaching for .first() to silence the error hides the ambiguity and is the next flake.

Assertions: web-first only

ts
// Bad — reads the DOM once, before the async update lands; races the render.
expect(await page.locator('#status').textContent()).toBe('Submitted');

// Good — re-polls the element until it says 'Submitted' or the timeout fires.
await expect(page.getByTestId('status')).toHaveText('Submitted');

expect(locator) assertions (toBeVisible, toHaveText, toHaveURL, toHaveCount) retry until the condition holds. A read-once value (await locator.textContent() then compare) captures a single frame and loses every race against a re-render. If you find expect(await in a test, it is a bug.

Auto-wait and the no-sleep rule

Locator actions (click, fill, check) already auto-wait: they block until the element is visible, stable, enabled, and receiving events. So waitForTimeout(2000) is never the right wait — it is either too short (flake) or too long (slow), and it waits for wall-clock time instead of the thing you actually care about.

Instead of guessing with a sleepWait on the real signal
"give the button time to appear"await expect(locator).toBeVisible()
"wait for navigation"await page.waitForURL('**/checkout')
"wait for the XHR/fetch"const r = page.waitForResponse('**/api/order'); …action…; await r;
"wait for the list to fill"await expect(page.getByRole('row')).toHaveCount(5)

The ordering trap: subscribe to a response (or register a page.route mock) before the action that triggers it, or you miss the event.

ts
// Bad — handler registered after goto; the initial request already fired unmocked.
await page.goto('/orders');
await page.route('**/api/orders', route => route.fulfill({ json: [] }));

// Good — mock in place before navigation, so the first request is intercepted.
await page.route('**/api/orders', route => route.fulfill({ json: [] }));
await page.goto('/orders');

Fixtures and page objects

Fixtures give every test a fresh, isolated setup and kill copy-pasted boilerplate. Extend the base test with your own; the code before use(value) is setup, after it is teardown.

ts
import { test as base } from '@playwright/test';
import { CheckoutPage } from './pages/checkout';

type Fixtures = { checkout: CheckoutPage };

export const test = base.extend<Fixtures>({
  checkout: async ({ page }, use) => {
    const checkout = new CheckoutPage(page); // setup: depends on the built-in `page`
    await use(checkout);                      // hand it to the test
    // teardown after the test goes here, if any
  },
});

Option fixtures (['default', { option: true }]) let a project or test.use() flip behavior without new fixtures. Keep page objects thin — locators and intent-named actions (checkout.placeOrder()), no assertions buried inside them. Full page-object recipe lives in references/config-and-ci.md.

Auth and storageState

Logging in through the UI on every test is slow and a flake surface. Log in once in a setup project, save the authenticated session to JSON, and load it via storageState in the projects that depend on it.

  • A setup project runs the login spec and writes playwright/.auth/<role>.json.
  • Real test projects declare dependencies: ['setup'] and use: { storageState: '…/<role>.json' }.
  • One file per role (admin, member, anon) — never share one mutated session across roles.
  • Regenerate every CI run; gitignore the .auth/ dir. Committed session state leaks secrets and goes stale.

The full multi-role setup-project wiring is in references/config-and-ci.md.

playwright.config.ts (condensed)

ts
import { defineConfig, devices } from '@playwright/test';

export default defineConfig({
  testDir: './e2e',
  fullyParallel: true,
  forbidOnly: !!process.env.CI,        // a stray test.only fails CI instead of skipping the suite
  retries: process.env.CI ? 2 : 0,     // retry only in CI; locally a flake should hurt
  workers: process.env.CI ? 1 : undefined,
  reporter: process.env.CI ? [['github'], ['html']] : 'list',
  use: {
    baseURL: process.env.BASE_URL ?? 'http://localhost:3000',
    trace: 'on-first-retry',           // full trace captured the first time a test retries
  },
  projects: [
    { name: 'setup', testMatch: /.*\.setup\.ts/ },
    { name: 'chromium', use: { ...devices['Desktop Chrome'] }, dependencies: ['setup'] },
    { name: 'webkit',   use: { ...devices['Desktop Safari'] }, dependencies: ['setup'] },
  ],
  webServer: {
    command: 'npm run start',
    url: 'http://localhost:3000',
    reuseExistingServer: !process.env.CI,
  },
});

Open a captured trace with npx playwright show-trace. The full annotated config (per-role storageState, firefox, blob reporter for sharding) is in references/config-and-ci.md.

CI (GitHub Actions)

The shape: install browsers with OS deps, run, shard when one box can't finish inside the ~5–10 min budget, upload the trace and HTML report as artifacts.

yaml
- run: npx playwright install --with-deps
- run: npx playwright test --shard=${{ matrix.shard }}/4
- uses: actions/upload-artifact@v4
  if: ${{ !cancelled() }}
  with: { name: report-${{ matrix.shard }}, path: playwright-report/, retention-days: 7 }

Scale: bump workers to use a single machine; add --shard=i/N across machines only once a single box overruns the budget. Sharded runs emit blob reports you merge with npx playwright merge-reports. Full workflow (matrix, blob report, merge job) is in references/config-and-ci.md.

Flakiness playbook

A 3% flake rate on a 40-minute pipeline burns roughly an engineer-day a week on reruns, so treat flakes as bugs with named causes. Open the trace first (show-trace) — it replays the exact failing run with DOM, network, and console; guessing from a one-line CI log is how flakes survive.

Symptom in CICauseFix
Assertion races a re-renderRead-once value, not web-firstawait expect(locator).toHaveText(...)
Mock/intercept never firespage.route registered after gotoRegister the route before the navigation
Test hangs / times out in an SPAnetworkidle never settles (polling, websockets)Wait on a locator/URL, not networkidle
waitForResponse misses the callSubscribed after the action firedconst r = page.waitForResponse(...) before the action
"strict mode: resolved to 2 elements"Ambiguous locatorTighten with role+name/filter, not .first()
Passes alone, fails in the suitestorageState leak / shared mutable statePer-role state file; fresh context per test
Wrong fixture/state in one filetest.use() scope confusionScope test.use to the right describe block
Green headed, red headless (or vice-versa)Viewport/animation/timing driftPin viewport; reduce motion; debug in the failing mode

Per-pattern reproduction and corrected code is in references/flakiness-playbook.md.

Anti-patterns

Anti-patternWhy it bitesDo instead
await page.waitForTimeout(2000)Couples the test to wall-clock; too short flakes, too long dragsWait on locator/URL/response
XPath or :nth-child locatorsBreaks on any markup refactor the user never seesgetByRole/getByTestId ladder
page.$(...) / page.$$(...) element handlesNo auto-wait, no retry — pre-locator APIpage.locator(...) / getBy*
expect(await locator.textContent()).toBe(...)Reads one frame; races the async updateawait expect(locator).toHaveText(...)
Committing storageState JSONLeaks session secrets, goes stale, false greenGitignore .auth/; regenerate per run
trace: 'on' alwaysHeavy artifacts, slows every runtrace: 'on-first-retry'
Tests that depend on run orderOne reorder cascades failuresEach test self-contained; fresh context
Driving pure logic through the browserSlow + flaky for a unit-level checkPush it to ../testing-web/SKILL.md
.first() to silence strict modeHides ambiguity → the next flakeMake the locator unique

When a flake resists the table, hand the trace to ../debug/SKILL.md — reproduce as a rate (k/N runs), isolate one variable, fix the cause, not the symptom.

Verify

Run scripts/verify.sh [dir] over the test/config files you emit. It is a read-only static lint (no browser, no network) that fails on the skill's own banlist: waitForTimeout(, XPath/// locators, page.$(/page.$$( handles, expect(await read-once assertions, and any playwright.config.* missing both trace and retries. Clean or empty target exits 0.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the E2e Testing AI skill do?

Use when writing or stabilizing Playwright tests that drive a real browser through multi-step journeys — durable locators, web-first assertions, storageState auth, trace/retries, and flakes that only bite in CI. NOT in-process component tests (that is testing-web), NOT WCAG auditing (that is accessibility), NOT the pre-merge gate (that is verify).

Why use E2e Testing on TypingMind?

Because you install it once and use it with any model. E2e Testing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install E2e Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericrisco/rsc-harness/tree/main/skills/e2e-testing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use E2e Testing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with E2e Testing?

As many as you like. As long as a model supports skills, you can use E2e Testing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the E2e Testing AI skill free?

Yes. It is published on GitHub by ericrisco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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