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E2e Verify

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jh941213
e2e-verify

개발 완료 후 브라우저 자동화가 필요 없는 API/CLI 레벨 E2E 테스트 작성 및 실행. /verify 이후 실제 사용자 플로우를 검증합니다. 브라우저 자동화가 필요하면 e2e-agent-browser 스킬 사용. Triggers on: e2e 검증, e2e-verify, E2E 테스트. NOT for: 유닛 테스트, 타입체크, 빌드 검증, 브라우저 자동화 E2E.

Overview

Publisherjh941213
Repositorymy-cc-harness
Skill namee2e-verify
Stars
125
Forks
35
Bundled files
Instructions only
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 jh941213 on GitHub. Read the source before you install it.

Installation

Install the E2e Verify 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.
  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/jh941213/my-cc-harness.git /tmp/my-cc-harness
mkdir -p .claude/skills
cp -r /tmp/my-cc-harness/skills/e2e-verify .claude/skills/e2e-verify
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable E2e Verify 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 Verify 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 Verify 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 피처 검증

개발 + /verify 완료 후, 구현한 피처가 실제 브라우저에서 동작하는지 E2E 테스트로 검증합니다.

전제 조건

  • /verify 통과 완료 (typecheck, lint, test, build)
  • 앱이 로컬에서 실행 가능한 상태

워크플로우

1단계: 피처 분석

구현한 피처의 사용자 플로우를 파악합니다.

- 어떤 페이지에서 시작하는가?
- 어떤 인터랙션이 필요한가? (클릭, 입력, 네비게이션)
- 성공 조건은 무엇인가? (URL 변경, 텍스트 표시, 상태 변화)
- 엣지 케이스는? (빈 입력, 에러 응답)

2단계: 앱 실행

bash
# package.json에서 dev/start 스크립트 확인
cat package.json | grep -A 5 '"scripts"'

# 앱 실행 (백그라운드)
npm run dev &

# 포트 폴링으로 앱 준비 대기 (최대 30초) — 고정 sleep 금지
for i in $(seq 1 30); do
  curl -sf http://localhost:3000 >/dev/null 2>&1 && break
  sleep 1
done
curl -sf http://localhost:3000 >/dev/null 2>&1 || echo "FAIL: 30초 내 앱이 준비되지 않음"

3단계: E2E 테스트 작성

e2e/ 디렉토리에 테스트 파일 생성합니다.

bash
# 프로젝트에 기존 E2E 설정 확인
ls e2e/ 2>/dev/null || ls tests/e2e/ 2>/dev/null || ls __tests__/e2e/ 2>/dev/null

# 기존 E2E 프레임워크 확인 (Playwright, Cypress, agent-browser)
cat package.json | grep -E "playwright|cypress|agent-browser"
프레임워크별 테스트 작성

agent-browser 사용 시:

bash
#!/bin/bash
set -e
cleanup() { agent-browser close 2>/dev/null || true; }
trap cleanup EXIT

agent-browser open http://localhost:3000

# 스냅샷으로 요소 확인
agent-browser snapshot -i

# 피처 플로우 실행
agent-browser fill @email-input "test@example.com"
agent-browser click @submit-btn
agent-browser wait text "Success"

echo "PASS: Feature E2E test"

Playwright 사용 시:

typescript
import { test, expect } from '@playwright/test';

test('피처명: 사용자 플로우', async ({ page }) => {
  await page.goto('/');
  await page.fill('[data-testid="email"]', 'test@example.com');
  await page.click('[data-testid="submit"]');
  await expect(page.locator('.success')).toBeVisible();
});

Cypress 사용 시:

typescript
describe('피처명', () => {
  it('사용자 플로우를 완료한다', () => {
    cy.visit('/');
    cy.get('[data-testid="email"]').type('test@example.com');
    cy.get('[data-testid="submit"]').click();
    cy.contains('Success').should('be.visible');
  });
});

4단계: 테스트 실행

bash
# agent-browser
bash e2e/test_feature.sh

# Playwright
npx playwright test e2e/feature.spec.ts

# Cypress
npx cypress run --spec "cypress/e2e/feature.cy.ts"

5단계: 실패 시 디버깅

bash
# 스크린샷 캡처
agent-browser screenshot ./e2e/debug.png

# headed 모드로 재실행
agent-browser open http://localhost:3000 --headed

# 콘솔 에러 확인
agent-browser console --error

테스트 체크리스트

  • 해피 패스 (정상 플로우) 통과
  • 에러 케이스 (잘못된 입력, 네트워크 에러) 처리 확인
  • 페이지 이동/라우팅 정상 동작
  • UI 상태 변화 (로딩, 성공, 실패) 표시 확인
  • 모바일 뷰포트에서도 동작 (해당 시)

검증 루프

각 테스트에서 실패 시:

  1. 스크린샷/로그로 원인 파악
  2. 코드 수정
  3. /verify 다시 실행 (회귀 방지)
  4. E2E 테스트 재실행
  5. 모두 통과할 때까지 반복

Frequently asked questions

What does the E2e Verify AI skill do?

개발 완료 후 브라우저 자동화가 필요 없는 API/CLI 레벨 E2E 테스트 작성 및 실행. /verify 이후 실제 사용자 플로우를 검증합니다. 브라우저 자동화가 필요하면 e2e-agent-browser 스킬 사용. Triggers on: e2e 검증, e2e-verify, E2E 테스트. NOT for: 유닛 테스트, 타입체크, 빌드 검증, 브라우저 자동화 E2E.

Why use E2e Verify on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jh941213/my-cc-harness/tree/main/skills/e2e-verify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use E2e Verify?

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 Verify?

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

Is the E2e Verify AI skill free?

It is published on GitHub by jh941213. Check the repository for licensing terms. 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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