ai-slop-reviewer

ai-slop-reviewer is a skill for Claude Code from modu-ai/moai-cowork. It costs 263 tokens per session (4,743 once invoked), scanned A, original, Apache-2.0.

A writing review step that detects formulaic patterns often found in AI-generated text and rewrites the wording to sound more natural and human.

In plain words
What is it for?
Use it to polish blog posts, newsletters, reports, proposals, business plans, contracts, emails, landing-page copy, and other AI-assisted drafts.
Why use it?
It removes repetitive, stiff, or empty phrasing from finished writing while keeping the underlying content. It is intended for text, not code, data, charts, or numeric reports.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the moai-coworker plugin — 32 skills shipped together

Good fit Use it to polish blog posts, newsletters, reports, proposals, business plans, contracts, emails, landing-page copy, and other AI-assisted drafts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/modu-ai/moai-cowork/ai-slop-reviewer
Install

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.

Any agent
npx skills add modu-ai/moai-cowork --skill ai-slop-reviewer
Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-cowork

Made for: Claude Code.

Or install moai-coworker, the plugin that ships this one along with the rest of its 32 skills.

Wrote 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.

agentmods badge for ai-slop-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-cowork/ai-slop-reviewer/github.svg)](https://agentmods.dev/skills/modu-ai/moai-cowork/ai-slop-reviewer)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/ai-slop-reviewer"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/ai-slop-reviewer/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.

agentmods 80×15 button for ai-slop-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/ai-slop-reviewer"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/ai-slop-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 263 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,743 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00263 $0.04743
Opus 5 $0.00131 $0.02371
Sonnet 5 $0.00053 $0.00949
Haiku 4.5 $0.00026 $0.00474

Measured 13d ago against content hash 15738fbc015a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-slop-reviewer 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 13d 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.

plugins/moai-coworker/skills/ai-slop-reviewer/SKILL.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI 슬롭 검수 및 인간화 스킬

AI가 생성한 텍스트는 내용은 정확하지만, 종종 기계적이고 예측 가능한 패턴으로 가득 차 있습니다. 이 스킬은 그 패턴을 체계적으로 찾아내고, 독자가 사람의 목소리로 느낄 수 있도록 글을 재구성합니다.

개요

이 스킬은 모든 텍스트 산출물 워크플로우의 마지막 단계에서 호출되어 AI 특유의 기계적 패턴을 제거합니다. 블로그, 뉴스레터, 카피, 사업계획서, 계약서, 제안서, 보고서, 이메일, 랜딩 카피, 사업보고, 특허 초안, 강의자료 원고 등 모든 텍스트 산출물에 적용됩니다.

코드, JSON/CSV 데이터, 차트·표, 숫자 리포트, 단순 조회 응답에는 적용하지 않습니다.

트리거 키워드

이 스킬은 다음 상황에서 자동 또는 수동으로 호출됩니다:

  1. 명시적 요청: "AI 슬롭 제거", "사람이 쓴 것처럼 수정", "AI 티 나는 부분 고쳐줘"
  2. 웹사이트/콘텐츠 제작 완료 후: 블로그 포스트, 랜딩 페이지, 카피라이팅, 뉴스레터 작성 직후
  3. 비즈니스 문서 작성 완료 후: 사업계획서, 제안서, 보고서, 이메일 초안 작성 직후
  4. AI 도구 출력물 후처리: Cowork, Claude, ChatGPT 등으로 생성한 텍스트의 검수 요청 시
  5. 품질 개선 요청: "너무 기계적인 느낌이야", "자연스럽게 다듬어줘"

워크플로우

1단계: AI 슬롭 패턴 진단

텍스트를 받으면 먼저 체크리스트를 기준으로 문제 패턴을 식별합니다.

🔴 금지어: 즉시 제거/교체

한국어 과용 표현:

  • ~에 대해 살펴보겠습니다 → 바로 본론으로
  • ~의 중요성은 아무리 강조해도 지나치지 않습니다 → 왜 중요한지 구체적으로
  • ~을 통해 알 수 있듯이 → 삭제하거나 직접 서술
  • 다음과 같습니다: + 목록 → 산문으로 통합하거나 진짜 필요할 때만 목록 사용
  • 이처럼 ~은 매우 중요한 의미를 가집니다 → 결론 부분의 공허한 마무리
  • 종합적인, 체계적인, 효율적인 (의미 없이 반복될 때)
  • 또한, 그러나, 따라서, 더불어, 한편 (문단마다 반복될 때)
  • ~라고 할 수 있습니다~입니다 또는 구체적 서술로
  • ~를 기반으로 한 접근 방식 → 무슨 접근 방식인지 직접 설명
  • 핵심은 + 같은 말 반복

영어 과용 표현:

  • delve, leverage, utilize, harness, embark → 단순한 동사로 대체
  • pivotal, robust, seamless, cutting-edge, comprehensive → 구체적 묘사로
  • tapestry, landscape, realm (비유로 쓸 때), synergy, testament
  • "It's important to note that", "In today's ever-evolving world"
  • "In conclusion / In summary / In essence" (서두에 오는 결론)
  • "Not just X, but Y" 구조의 남용
  • "Certainly!" 로 시작하는 답변
🟡 구조적 AI 패턴

획일적인 문장 길이:

  • 모든 문장이 비슷한 길이(15-22단어)면 사람이 쓴 글이 아닙니다
  • 짧은 문장(3-7단어)과 긴 문장(25단어 이상)을 섞어야 리듬이 생깁니다

공식적인 단락 구조:

  • 모든 단락이 "주제문 → 설명 → 예시 → 소결론" 패턴을 따르고 있으면 AI 글입니다
  • 단락 길이와 구조에 변화를 줍니다

AI식 도입부:

  • "오늘날의 급변하는 세상에서...", "디지털 시대에는..." 류의 문장
  • "이 글에서는 X에 대해 알아보겠습니다" 형식

AI식 결말:

  • "지금까지 살펴본 바와 같이..." + 앞 내용 반복
  • 구체적 내용 없이 "더 나은 미래를 위해 노력해야 합니다" 류의 호소

과도한 목록화:

  • 산문으로 쓸 수 있는 내용을 모두 글머리 기호(•)로 나열
  • 3개 이상의 중첩 목록

수동태 남용:

  • "~이 확인되었습니다", "~가 제안됩니다", "~로 판단됩니다"
  • → 주체를 명확히 하고 능동태로

Read the full file on GitHub · 312 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 13d ago First seen · 312 lines · 263 tokens per session scan A 15738fbc015a

Subscribe to this mod's changes

ai-slop-reviewer is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 9d ago), licensed Apache-2.0. It adds 263 tokens to every session and 4,743 once invoked, about $0.0013 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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