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 agentmods add skills/ggombee/code-forge/setup-testnpx skills add ggombee/code-forge --skill setup-testgit clone --depth 1 https://github.com/ggombee/code-forgeWhat 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 | $0.00039 | $0.01056 |
| Opus 5 | $0.00019 | $0.00528 |
| Sonnet 5 | $0.00008 | $0.00211 |
| Haiku 4.5 | $0.00004 | $0.00106 |
Grade A, and why
setup-test 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/setup-test
테스트 환경이 없는 프로젝트에 초기 세팅을 수행합니다.
실행 워크플로우
Step 1: 프로젝트 분석
다음을 자동 감지합니다:
-
프레임워크 감지:
next.config.*-> Next.jsvite.config.*-> Vitereact-scriptsin package.json -> CRA- 기타 -> 일반 React
-
기존 테스트 환경 확인:
jest.config.*/vitest.config.*존재 여부- package.json에 test 스크립트 존재 여부
@testing-library/react설치 여부- MSW 설치 여부
-
상태 관리 / Provider 구조 분석:
_app.tsx/_app.js읽기 -> Provider 트리 파악Provider/디렉토리 탐색- package.json에서 jotai, recoil, zustand, react-query 등 확인
-
사용자에게 분석 결과 보고 후 진행 여부 확인:
프로젝트 분석 결과: - 프레임워크: Next.js 13 (Pages Router) - 테스트 러너: 미설정 -> jest 권장 - 상태 관리: jotai, react-query - Provider: QueryClientProvider, JotaiProvider 다음 항목을 세팅하겠습니다: 1. jest + @testing-library/react + MSW 패키지 설치 2. jest.config.js 생성 3. jest.setup.js 생성 4. customRender 유틸리티 생성 5. MSW 핸들러 구조 생성 6. package.json test 스크립트 추가 진행할까요?
Step 2: 패키지 설치
jest 기반 (Next.js, CRA):
yarn add -D jest @testing-library/react @testing-library/jest-dom @testing-library/user-event jest-environment-jsdom @types/jest msw identity-obj-proxy
Next.js 프로젝트 추가:
yarn add -D jest-next-dynamic
vitest 기반 (Vite):
yarn add -D vitest @testing-library/react @testing-library/jest-dom @testing-library/user-event jsdom @types/jest msw
Step 3: 설정 파일 생성
jest.config.js (Next.js 예시):
- moduleNameMapper: path alias (@/, @shared/ 등) 매핑
- testEnvironment: jsdom
- setupFilesAfterSetup: jest.setup.js
- transformIgnorePatterns: node_modules 중 ESM 모듈 처리
- moduleFileExtensions: js, jsx, ts, tsx
jest.setup.js:
@testing-library/jest-domimport- 전역 mock 설정 (next/router, next/dynamic, SVG, CSS 등)
- MSW server setup/teardown
- window.matchMedia mock
Step 4: customRender 생성
__tests__/utils/customRender.tsx (또는 src/test/customRender.tsx):
프로젝트의 Provider 구조를 분석하여 생성합니다:
- QueryClientProvider (react-query 사용 시)
- RecoilRoot (recoil 사용 시)
- JotaiProvider (jotai 사용 시, 필요한 경우)
- FormProvider (react-hook-form 사용 시)
- 기타 프로젝트 커스텀 Provider
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.
- yesterday First seen · 138 lines · 39 tokens per session scan A a4127b0a4e23
setup-test is a skill published in the GitHub repository ggombee/code-forge (13 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 1,056 once invoked, about $0.0002 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 2026-08-30.
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