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 crealwork/ai-marketing-kit --skill kit-onboardinggit clone --depth 1 https://github.com/crealwork/ai-marketing-kitWrote 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/crealwork/ai-marketing-kit/kit-onboarding)<a href="https://agentmods.dev/skills/crealwork/ai-marketing-kit/kit-onboarding"><img src="https://agentmods.dev/badge/skills/crealwork/ai-marketing-kit/kit-onboarding/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.
<a href="https://agentmods.dev/skills/crealwork/ai-marketing-kit/kit-onboarding"><img src="https://agentmods.dev/badge/skills/crealwork/ai-marketing-kit/kit-onboarding.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00106 | $0.01165 |
| Opus 5 | $0.00053 | $0.00583 |
| Sonnet 5 | $0.00021 | $0.00233 |
| Haiku 4.5 | $0.00011 | $0.00117 |
Grade A, and why
kit-onboarding 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.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kit Onboarding
킷의 다른 스킬들이 전부 읽는 기초 파일 3개를 깔고 시작한다: DESIGN.md(브랜드 토큰), BRAND-VOICE.md(말투), CLAUDE.md(에이전트 상시 규칙). 이거 없이 스킬을 돌리면 매번 브랜드를 즉석에서 지어내게 된다 — 온보딩이 그걸 막는다.
소요: 10–15분. 이미 파일이 있으면 그 항목은 건너뛰고 검증만.
G1 — 인터뷰 (한 번에, 질문 도구로)
- 비즈니스 한 줄: 무엇을 누구에게 파는가.
- 사이트/자료: 라이브 사이트 URL? 로고 파일? (있으면 G2가 추출 모드, 없으면 인터뷰 모드)
- 주 언어/시장: 콘텐츠 언어(한/영/둘 다), 타깃 지역.
- 지금 쓰는 채널: 인스타/스레드/링크드인/유튜브/뉴스레터 중 뭘 운영 중인가.
- 첫 목표: 다음 30일에 마케팅으로 얻고 싶은 것 하나.
G2 — DESIGN.md (브랜드 토큰)
marketing/DESIGN.md 생성 — brand-guide 스킬로 위임 (사이트 있으면 추출,
없으면 인터뷰 모드). 최소 스키마:
# DESIGN.md — {Brand}
## Colors
primary: #XXXXXX / accent: #XXXXXX / ink: #XXXXXX / background: #XXXXXX
## Typography
heading: {font} {weight} / body: {font} {weight} (+ font source links)
## Logo
files: {paths} · min size · clear space · 금지 사례
## Shape
radius / shadow / photo tone
carousel-generator, ppt-slide-generator, print-design, ad-video, thumbnail-maker가 이 파일을 읽는다 — 여기 없는 값은 그 스킬들이 지어내지 못하게 채워둔다.
G3 — BRAND-VOICE.md (말투)
marketing/BRAND-VOICE.md 생성 (brand-guide G4 + 인터뷰):
# BRAND-VOICE.md — {Brand}
형용사 3개: {a} · {b} · {c} (서로 긴장 관계가 있게)
톤: 존댓말/반말 · 이모지 정책 · 문장 길이 경향
Do (실제 예문 3개): "..."
Don't (실제 예문 3개): "..."
금지어/필수어: ...
humanizer·content-repurpose·e-blast-newsletter·dans-advice가 카피를 쓸 때 이 파일 기준으로 쓴다. 예문은 유저의 실제 카피에서 — 없으면 유저 승인 문장으로.
G4 — CLAUDE.md 기초 블록
프로젝트(또는 글로벌) CLAUDE.md에 아래 블록을 유저에게 보여주고 승인 후 append (기존 내용 덮어쓰기 금지):
## Marketing (AI + Marketing Kit)
- Brand: {한 줄} — tokens: marketing/DESIGN.md · voice: marketing/BRAND-VOICE.md
- 콘텐츠 언어: {언어}. 모든 카피는 발행 전 humanizer 룰 통과.
- 새 웹페이지/랜딩은 배포 전 publish-checklist 자동 적용.
- 돈이 나가는 액션(광고)과 외부 발신(발송·발행)은 반드시 내 승인 후.
- 이미지/영상 생성: 전부 Higgsfield CLI 경유(기본 gpt_image_2), 성과형 비주얼은 A/B 변형 세트.
G5 — 키 체크리스트 + 첫 퀵윈
- G1에서 확인한 채널에 필요한 env 키만 안내 (README 키 표 참조) — 지금 다 채울 필요 없음, 해당 스킬 첫 사용 때 세팅해도 된다.
- 마무리는 오늘 할 일 딱 하나 제안 (dans-advice 톤): 사이트가 있으면 "publish-checklist 한 번 돌려요", 콘텐츠가 급하면 "캐러셀 하나 뽑아요" — 유저의 첫 목표(G1-5)에 맞는 가장 작은 실행.
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.
- 9d ago First seen · 87 lines · 106 tokens per session scan A 6cf82ed842b8
kit-onboarding is a skill published in the GitHub repository crealwork/ai-marketing-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 106 tokens to every session and 1,165 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 2026-08-30.
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