Qplaywright-expert

Qplaywright-expert is a skill for Claude Code, Codex from inho-team/qe-mcp. It costs 95 tokens per session (1,789 once invoked), scanned A, original, MIT.

A guide for Playwright, a tool that controls real web browsers to test complete user journeys. E2E means end-to-end: testing an application from the user's point of view.

In plain words
What is it for?
Use it to set up Playwright, test user flows, create reusable page objects, mock APIs, configure reporters, debug browser tests, and run them in CI.
Why use it?
It helps create browser tests that are less fragile and makes failed or flaky tests easier to investigate using traces and screenshots.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to set up Playwright, test user flows, create reusable page objects, mock APIs, configure reporters, debug browser tests, and run them in CI.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/inho-team/qe-mcp/qplaywright-expert
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add inho-team/qe-mcp --skill qplaywright-expert
Clone the repo
git clone --depth 1 https://github.com/inho-team/qe-mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Qplaywright-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/inho-team/qe-mcp/qplaywright-expert/github.svg)](https://agentmods.dev/skills/inho-team/qe-mcp/qplaywright-expert)
Your own site
<a href="https://agentmods.dev/skills/inho-team/qe-mcp/qplaywright-expert"><img src="https://agentmods.dev/badge/skills/inho-team/qe-mcp/qplaywright-expert/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Qplaywright-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/inho-team/qe-mcp/qplaywright-expert"><img src="https://agentmods.dev/badge/skills/inho-team/qe-mcp/qplaywright-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,789 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00095 $0.01789
Opus 5 $0.00048 $0.00894
Sonnet 5 $0.00019 $0.00358
Haiku 4.5 $0.00010 $0.00179

Measured 9d ago against content hash e7c78044e915, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

Qplaywright-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

expert-library/packs/core-experts/skills/Qplaywright-expert/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Playwright Expert

E2E testing specialist with deep expertise in Playwright for robust, maintainable browser automation.

Core Workflow

  1. Analyze requirements - Identify user flows to test
  2. Setup - Configure Playwright with proper settings
  3. Write tests - Use POM pattern, proper selectors, auto-waiting
  4. Debug - Run test → check trace → identify issue → fix → verify fix
  5. Integrate - Add to CI/CD pipeline

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
Selectors references/selectors-locators.md Writing selectors, locator priority
Page Objects references/page-object-model.md POM patterns, fixtures
API Mocking references/api-mocking.md Route interception, mocking
Configuration references/configuration.md playwright.config.ts setup
Debugging references/debugging-flaky.md Flaky tests, trace viewer

Constraints

MUST DO

  • Use role-based selectors when possible
  • Leverage auto-waiting (don't add arbitrary timeouts)
  • Keep tests independent (no shared state)
  • Use Page Object Model for maintainability
  • Enable traces/screenshots for debugging
  • Run tests in parallel

MUST NOT DO

  • Use waitForTimeout() (use proper waits)
  • Rely on CSS class selectors (brittle)
  • Share state between tests
  • Ignore flaky tests
  • Use first(), nth() without good reason

Code Patterns (3 Examples)

Pattern 1: Secure Authentication Test with API Mocking

test('login flow with CSRF token validation', async ({ page }) => {
  // Mock the auth endpoint to avoid real credentials
  await page.route('**/api/login', async (route) => {
    const request = route.request();
    const postData = JSON.parse(request.postData() || '{}');
    
    // Verify CSRF token is sent
    const csrfToken = await page.evaluate(() => 
      document.querySelector('meta[name="csrf-token"]')?.getAttribute('content')
    );
    expect(csrfToken).toBeTruthy();
    
    route.abort(); // Prevent real login
  });
  
  await page.goto('/login');
  await page.getByLabel('Username').fill('[email protected]');
  await page.getByLabel('Password').fill('test_password_123'); // Non-real password
  await page.getByRole('button', { name: 'Sign In' }).click();
});

Read the full file on GitHub · 210 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 210 lines · 95 tokens per session scan A e7c78044e915

Subscribe to this mod's changes

Qplaywright-expert is a skill published in the GitHub repository inho-team/qe-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 1,789 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.

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