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 modu-ai/moai-cowork --skill design-slop-checkgit clone --depth 1 https://github.com/modu-ai/moai-coworkWrote 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/modu-ai/moai-cowork/design-slop-check)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/design-slop-check"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/design-slop-check/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/modu-ai/moai-cowork/design-slop-check"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/design-slop-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00163 | $0.03239 |
| Opus 5 | $0.00081 | $0.01620 |
| Sonnet 5 | $0.00033 | $0.00648 |
| Haiku 4.5 | $0.00016 | $0.00324 |
Grade A, and why
design-slop-check 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.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
design-slop-check — Claude Design 카피 AI 슬롭 검수
역할 축소 (P1 — docs 03 §3.3): 본 스킬은 다운스트림 QA 게이트입니다. AI 슬롭 패턴 사전(영문·한국어 Tier 1/2 + 구조 안티패턴)의 **정본(canonical owner)은 이제
design-copywriting**이며, 카피 생성 단계에서 선제적으로 준수됩니다. 본 스킬은 그 사전을 참조해 결과 카피를 사후 검수하며, 카피 스코어링 기준도 이 사전을 SSOT로 삼습니다. 아래 패턴 사전은 편의를 위해 유지되나, 갱신의 SSOT는design-copywriting본문의 "Anti-Slop Pattern Dictionary" 섹션입니다.
개요
Claude Design은 카피도 생성합니다. 디자인 시스템에 voice가 잘 등록되어 있어도, 영문·한국어 모두에서 AI 티가 나는 진부 표현이 슬쩍 섞이는 경우가 많습니다. 이 스킬은 패턴 사전 + 컨텍스트 추론으로 그런 표현을 짚어내고, 자연스러운 대안을 제안합니다.
트리거 키워드
Claude Design 카피, AI 슬롭, AI 티, 진부 표현, humanize 직전, 디자인 카피 검수, slop check
검수 대상
다음 텍스트를 입력으로 받습니다.
| 입력 형태 | 예시 |
|---|---|
| 단일 카피 텍스트 | "Reimagine your workflow with AI" |
| 카피 모음 | Hero·Feature·CTA·Footer를 묶어 한 번에 |
| Claude Design 결과물 전체 | PDF·HTML에서 추출한 텍스트 일괄 |
| Claude Design 채팅 캡처 | 사용자가 카피만 골라 붙여넣은 것 |
AI 슬롭 패턴 사전
영문 진부 표현 (Tier 1 — 거의 항상 슬롭)
- "Reimagine your [X]"
- "Unleash your [X]" / "Unleash the power of [X]"
- "Empower your team to [X]"
- "Transform the way you [X]"
- "Supercharge your [X]"
- "Revolutionize [X]"
- "Next-generation [X]"
- "Cutting-edge [X]"
- "Powered by AI"
- "Built for the future of [X]"
- "Where [X] meets [Y]" (특히 마케팅 헤드라인)
영문 의심 표현 (Tier 2 — 문맥에 따라)
- "Game-changing", "Best-in-class"
- "Seamlessly", "Effortlessly", "Intuitively"
- "Leverage", "Synergy"
- "World-class", "State-of-the-art"
- "[X], simplified" / "[X], reimagined" / "[X], unleashed"
한국어 진부 표현 (Tier 1)
- "혁신적인 [X]"
- "차세대 [X]"
- "재정의하는 [X]"
- "새로운 패러다임"
- "AI 기반의 [X]"
- "한 차원 높은 [X]"
- "지금까지 없던 [X]"
- "당신의 [X]를 변화시킬"
- "이제는 [X]의 시대"
한국어 의심 표현 (Tier 2)
- "원활하게", "손쉽게", "직관적으로"
- "최고의", "최첨단의"
- "강력한", "막강한"
- "한 번에", "단숨에"
- "더 이상 [X]에 시달리지 마세요"
카피 구조 안티패턴
- A B C D: "Faster. Smarter. Better. Simpler." 식 단어 나열
- 콜론 후 강조: "[Headline]: The X that finally Y"
- 숫자 강조 없는 통계 주장: "Trusted by thousands of customers"
- 불필요한 부정 → 긍정: "No more [X]. Just [Y]."
한국어 구조적 슬롯 — S1 패턴 3종 (헤드라인·카피 필수 탐지)
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 · 279 lines · 163 tokens per session scan A 9e78a47eb76a
design-slop-check is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 9d ago), licensed Apache-2.0. It adds 163 tokens to every session and 3,239 once invoked, about $0.0008 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 2026-09-03.
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