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E2e Check

Community
faizkhairi
e2e-check

Run E2E tests or interactive browser verification. Triggers on: 'run e2e', 'e2e test', 'browser test', 'check in browser', 'verify UI', 'interactive test'.

Overview

Publisherfaizkhairi
Repositoryclaude-code-blueprint
Skill namee2e-check
Stars
73
Forks
22
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the E2e Check 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/faizkhairi/claude-code-blueprint/tree/main/skills/e2e-check
  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/faizkhairi/claude-code-blueprint.git /tmp/claude-code-blueprint
mkdir -p .claude/skills
cp -r /tmp/claude-code-blueprint/skills/e2e-check .claude/skills/e2e-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable E2e Check 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 Check 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 Check 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.

Run E2E tests or perform interactive browser-based verification using Playwright.

Mode Detection

Parse $ARGUMENTS to determine mode:

  • Runner mode (default): Run the Playwright test suite via CLI
  • Interactive mode: If --interactive or interactive appears in args, use Playwright MCP tools for manual browser walkthrough

Runner Mode

1. Detect project

From $ARGUMENTS or current working directory:

  • Match project name from cwd (e.g., my-app if cwd contains my-app)
  • Check CLAUDE.md in the project root for the configured dev port and test command
  • No match: ask which project to target

2. Pre-flight check

Check if the dev server is running on the expected port (read from CLAUDE.md or the project manifest):

Use: bash -c "curl -s -o /dev/null -w '%{http_code}' http://localhost:{port}/ 2>/dev/null" or equivalent.

If the server is NOT running:

  • Report: "Dev server not running on port {port}. Start it with your project's dev command (e.g. yarn dev/npm run dev, python manage.py runserver, bundle exec rails s, go run, etc.), then re-run /e2e-check."
  • Do NOT auto-start the dev server. Stop here.

3. Run tests

Run the E2E test command from CLAUDE.md or the project manifest (e.g., yarn test:e2e or npm run test:e2e for JS, or pytest tests/e2e for Python).

If a test filter was provided (e.g., auth), resolve it to the spec file path:

  • auth → tests/e2e/auth.spec.ts
  • Full path → use as-is

4. Parse output

Extract from Playwright output:

  • Total, passed, failed, skipped counts
  • Duration
  • On failure: spec file name, test name, error message

5. Report

E2E Test Results -- {project}
================================
Total: X | Passed: X | Failed: X | Skipped: X
Duration: Xs
Baseline: {expected from CLAUDE.md} tests

[If failures:]
FAILURES:
- {spec-file} > {test-name}: {error summary}

[If screenshots saved:]
Screenshots: test-results/{spec-file}/

6. On failure

  • Check test-results/ directory for saved screenshots
  • Analyze failure type: timeout? Element not found? Assertion mismatch? Network error?
  • Suggest fix based on the failure pattern

Interactive Mode

Use Playwright MCP tools to manually verify a user journey in the browser.

1. Navigate

Use mcp__playwright__browser_navigate to open http://localhost:{port} (port from CLAUDE.md).

ALWAYS use localhost, NEVER 127.0.0.1 (cookie domain mismatch issues).

2. Default journey (if no specific flow in args)

  1. Navigate to login page
  2. Fill credentials using mcp__playwright__browser_fill_form (use dev test credentials from .env or .env.test)
  3. Submit login form via mcp__playwright__browser_click
  4. Wait for dashboard to load via mcp__playwright__browser_wait_for
  5. Take snapshot via mcp__playwright__browser_snapshot to verify dashboard renders data (not empty state)
  6. Navigate to a key page (e.g., main feature list, report list)
  7. Verify data is present (not loading spinner, not error)
  8. Take screenshot via mcp__playwright__browser_take_screenshot as evidence

3. Custom journey

If args specify a flow (e.g., --interactive reports), walk through that specific flow step by step using:

  • mcp__playwright__browser_navigate for page navigation
  • mcp__playwright__browser_snapshot to read current page state (DOM)
  • mcp__playwright__browser_fill_form for form inputs
  • mcp__playwright__browser_click for button/link clicks
  • mcp__playwright__browser_select_option for dropdowns
  • mcp__playwright__browser_wait_for for loading/transition states
  • mcp__playwright__browser_take_screenshot for visual evidence

4. Report

Summarize:

  • What pages were visited
  • What was verified (data rendered, forms worked, navigation succeeded)
  • Any issues found (errors, empty states, broken elements)
  • Screenshot paths for evidence

Rules

  • Always localhost, never 127.0.0.1, due to cookie domain issues
  • Dev port: read from CLAUDE.md or the project manifest for the active project
  • Package manager: check CLAUDE.md or detect from lockfile (yarn.lock → yarn, package-lock.json → npm) (non-Node stacks: detect the build/install tool from the manifest type, e.g. Gemfile.lock, poetry.lock, Cargo.lock, go.sum, etc.)
  • Never auto-start dev servers: report and stop if not running
  • E2E baselines: compare against baseline documented in CLAUDE.md

Frequently asked questions

What does the E2e Check AI skill do?

Run E2E tests or interactive browser verification. Triggers on: 'run e2e', 'e2e test', 'browser test', 'check in browser', 'verify UI', 'interactive test'.

Why use E2e Check on TypingMind?

Because you install it once and use it with any model. E2e Check 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 Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/faizkhairi/claude-code-blueprint/tree/main/skills/e2e-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use E2e Check?

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 Check?

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

Is the E2e Check AI skill free?

Yes. It is published on GitHub by faizkhairi 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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