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moai-domain-humanize

Detects and removes AI-writing tells from Korean, English, Japanese, and Chinese text while preserving meaning.

1.2k|222|Updated Sep 16, 2025
Search Tags:#copywriting#multilingual#humanize#text rewriting#AI detection#post-editing#윤문
One-click install
npx skills add https://github.com/modu-ai/moai-adk --skill moai-domain-humanize
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-domain-humanize
Source: https://github.com/modu-ai/moai-adk/tree/main/internal/template/templates/.claude/skills/moai-domain-humanize
Command: npx skills add https://github.com/modu-ai/moai-adk --skill moai-domain-humanize

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI-generated text carries recognizable patterns—formulaic connectors, inflated significance, cliché openers, and template structures—that make it read as machine-written. This Skill post-edits (윤문) such text to read as human-authored without changing facts, figures, or the author's stance.

Core Features & Use Cases

  • Multilingual tell catalogues: Language-specific detection categories for Korean, English, Japanese, and Chinese, each with prose and marketing-copy layers and before/after rewrite examples.
  • Shared severity and grading model: S1/S2/S3 severity tiers gate removal by occurrence count, and A/B/C/D quality grades decide whether output ships, gets a second pass, or needs human review.
  • Over-editing guardrails: Prose mode warns at >30% change and halts at >50%; copy mode enforces fact-anchor preservation so numbers, dates, prices, and proper nouns survive verbatim.
  • Use Case: Paste an AI-drafted English blog post and receive a humanized version plus a change report listing detected tell categories, the quality grade, and the estimated percent changed.

Quick Start

Humanize this AI-generated draft and report which tell categories you removed and the final quality grade.

Frequently Asked Questions about moai-domain-humanize

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make AI-generated text sound human?▼

Run a humanization pass that detects catalogued AI tells—formulaic connectors, cliché openers, inflated significance—and rewrites only the flagged spans. This Skill supports Korean, English, Japanese, and Chinese with per-language tell catalogues and before/after examples.

What AI writing tells does this detect in English text?▼

It detects ten English categories including focal vocabulary like delve and tapestry, negative parallelism, rule-of-three tricolons, signposting fillers, transition overuse, cliché openers, vague attribution, and formatting tells, each with severity-based removal thresholds.

Does humanizing text change its meaning or facts?▼

No. Meaning preservation is the top rule: facts, numbers, dates, names, and the author's stance are anchored in an invariant ledger before editing, and a post-edit delta audit rolls back any edit that drifts from them.

Can it humanize marketing copy and landing pages?▼

Yes. A copy mode covers headlines, CTAs, landing pages, and slide titles with language-native copy-layer catalogues. The change-rate guard is replaced by a fact-anchor guard, so headlines can be freely rewritten while numbers and promises stay intact.

What are the limitations of AI text detection here?▼

Automated AI detectors are unreliable, especially on CJK polite registers, so this Skill is a pattern-based editing tool rather than a detection oracle. Change-rate percentages are LLM estimates, not computed metrics, and borderline cases are treated conservatively.

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