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.
npx skills add rungchan2/frontend-skills --skill e2e-testinggit clone --depth 1 https://github.com/rungchan2/frontend-skillsWrote 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.
[](https://agentmods.dev/skills/rungchan2/frontend-skills/e2e-testing)<a href="https://agentmods.dev/skills/rungchan2/frontend-skills/e2e-testing"><img src="https://agentmods.dev/badge/skills/rungchan2/frontend-skills/e2e-testing.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00147 | $0.00877 |
| Opus 5 | $0.00073 | $0.00439 |
| Sonnet 5 | $0.00029 | $0.00175 |
| Haiku 4.5 | $0.00015 | $0.00088 |
Grade A, and why
e2e-testing 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 8d 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.
What it actually says
E2E Testing Framework
마크다운 시나리오 기반 자연어 E2E 테스트. agent-browser CLI + 서브 에이전트 병렬 실행.
요구사항
agent-browserCLI 설치 (npm i -g agent-browser)
폴더 구조
.e2e/
├── init.md # 환경 설정 (Base URL, 로그인 절차) - git 추적 O
├── credentials.md # 테스트 계정 정보 - git 추적 X (gitignore)
├── results/ # 테스트 결과 - git 추적 X (gitignore)
│ └── {YYYY-MM-DD_HHmm}.md
└── scenarios/
├── 1-auth.md
├── 2-students.md
└── ...
시나리오 형식
파일명: {번호}-{기능명}.md
시나리오 파일 형식 상세: references/scenario-format.md 참조.
테스트 스텝 타입
type: auto
에이전트가 agent-browser로 자동 수행. 대부분의 테스트.
type: human
에이전트가 수행 불가한 단계 (결제, CAPTCHA, OTP, 외부 콜백 등).
반드시 유저 행동 필드를 포함. 에이전트는 HUMAN_PENDING 기록 후 다음 auto 스텝 계속 진행.
Setup 워크플로우
"E2E 세팅해줘" 또는 /e2e-testing:setup 시:
.e2e/,.e2e/scenarios/,.e2e/results/디렉토리 생성.e2e/init.md템플릿 생성 (환경 설정).e2e/credentials.md템플릿 생성 (계정 정보).gitignore에.e2e/credentials.md,.e2e/results/추가 확인- 유저에게
credentials.md직접 채우라고 안내
init.md / credentials.md 템플릿: references/templates.md 참조.
시나리오 작성 워크플로우
"시나리오 만들어줘" 또는 "테스트 케이스 작성" 시:
- 기존 시나리오 파일 목록 확인 → 다음 번호 결정
- 요청한 기능의 실제 코드를 읽어서 UI 구조 파악
- 시나리오 형식에 맞춰 파일 작성
작성 규칙:
- 1개 파일 = 1개 기능 영역 = 1개 에이전트가 실행
- 테스트 번호:
{시나리오번호}.{테스트번호}(예: 2.1) - 모든 스텝에
type필드 필수 human스텝은 시나리오 후반부에 배치
Run 워크플로우
/e2e-testing:run 시:
.e2e/init.md+.e2e/credentials.md읽기- 시나리오 선택 (인자 기반)
- 각 시나리오마다
e2e-tester서브 에이전트 병렬 실행 - 결과 취합 →
.e2e/results/{YYYY-MM-DD_HHmm}.md단일 파일 저장
What ships with it
6 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.
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.
- 8d ago First seen · 83 lines · 147 tokens per session scan A 5184e0c7e04e
e2e-testing is a skill published in the GitHub repository rungchan2/frontend-skills (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 147 tokens to every session and 877 once invoked, about $0.0007 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 2026-08-31.
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