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/crealwork/ai-marketing-kit/humanizernpx skills add crealwork/ai-marketing-kit --skill humanizergit 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/humanizer)<a href="https://agentmods.dev/skills/crealwork/ai-marketing-kit/humanizer"><img src="https://agentmods.dev/badge/skills/crealwork/ai-marketing-kit/humanizer.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 | $0.00098 | $0.01430 |
| Opus 5 | $0.00049 | $0.00715 |
| Sonnet 5 | $0.00020 | $0.00286 |
| Haiku 4.5 | $0.00010 | $0.00143 |
Grade A, and why
humanizer 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 6d 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.
Humanizer
AI 초안을 사람 글로 바꾼다. 원칙: 문장을 예쁘게 다듬는 게 아니라, AI 특유의 패턴을 제거하고 구체성을 주입하는 것. 코드 주석은 대상이 아니다.
Process
- 진단 — 아래 금지 목록과 대조해 문제 구절을 전부 표시한다 (고치기 전에).
- 재작성 — 패턴 제거 + 구체성 주입. 의미 보존, 길이는 보통 10–20% 줄어든다.
- 소리 내어 읽기 테스트 — 머릿속으로 읽어서 보도자료처럼 들리면 다시 쓴다.
- 유저에게 무엇을 왜 바꿨는지 2–3줄로 보고 (전체 diff 나열 금지).
Universal rules (언어 공통)
- 문장 길이에 리듬을 — 짧게 친다. 그리고 숨이 긴 문장이 따라온다. 전부 같은 길이로 앉아 있으면 AI다.
- 헤지 제거: "generally", "typically", "often", "it's worth noting", "arguably" — 그냥 말해라.
- 한 문장 한 아이디어. 쉼표로 절 세 개 쌓지 않는다.
- 형용사 삼단 나열 금지 ("fast, reliable, and scalable") — 하나만 고르거나 다시 써라.
- 목 가다듬기 오프닝 제거: "In today's world", "As we all know", "It's important to understand".
- 모든 문장이 완벽하게 대구를 이루면 오히려 티가 난다 — 일부러 흐트러뜨린다.
English — AI tells (DO NOT USE)
- "It's not just X, it's Y" / "X isn't just Y — it's Z" 구문
- "delve", "nuanced", "multifaceted", "robust", "seamless", "leverage"(동사), "unlock", "elevate", "empower", "navigate the complexities"
- "In the realm of", "In the world of", "At its core", "That said,"
- Em-dash 남용 — 문단에 하나 넘으면 마침표나 쉼표로 바꾼다
- 연속 문단을 "I'll" / "Let's" / "Here's"로 시작
- "Dive into", "unpack", "explore"를 필러 동사로
- "Whether you're X or Y, [product] has you covered"로 마무리
Korean — AI tells (DO NOT USE)
- 번역투: "~것이다", "~인 것입니다", "~할 수 있습니다" 남발 → 상황에 맞게 "~예요", "~해요", "~합니다"로 자연화
- "매우", "정말", "굉장히" 같은 빈 강조부사 → 빼거나 구체적 수치로
- "흥미롭게도", "주목할 만한 점은", "다시 말해" 같은 메타 전환구
- 과도한 "귀하", "저희" 반복 — 한 번 쓰고 생략
- 영어 직역 느낌: "~에 있어서", "~라는 측면에서", "~을 통해"
- 존댓말·반말 혼용 — 한 글 안에서 톤 고정
Instead, aim for
- 영어는 축약형 (it's, don't, you're) — 격식 문서 제외
- 한국어는 구어체 허용 (SNS·이메일 오프닝): "이거 진짜 괜찮아요" 같은 리듬
- 추상 대신 구체: "saves significant time" → "saves 4 hours/week"
- 구체적 동사: "ship", "cut", "fix" — not "implement", "reduce", "address"
Before / After
EN before: "Our robust platform leverages cutting-edge AI to seamlessly empower your team, unlocking unprecedented productivity gains." EN after: "Your team ships twice as fast. The AI handles the busywork — scheduling, follow-ups, reports — so people don't have to."
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.
- 6d ago First seen · 87 lines · 98 tokens per session scan A da477f9a6f58
humanizer is a skill published in the GitHub repository crealwork/ai-marketing-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 98 tokens to every session and 1,430 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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