moai-domain-humanize

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

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/taewook486/Masters_degree --skill moai-domain-humanize-taewook486
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-domain-humanize
Source: https://github.com/taewook486/Masters_degree/tree/main/.claude/skills/moai-domain-humanize
Command: npx skills add https://github.com/taewook486/Masters_degree --skill moai-domain-humanize-taewook486

SYSTEM DOCUMENTATION & REQUIREMENTS

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 so it reads as human-authored without changing facts, figures, named entities, 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, severity tiers (S1/S2/S3), and before/after rewrite examples. - Meaning-preservation machinery: An Invariant Ledger anchors facts before editing, a Delta Audit verifies survival after editing, and over-editing guardrails warn at >30% change and halt at >50% in prose mode, with a fact-anchor guard for copy mode. - Dual grading and genre modules: A/B/C/D quality grades for prose and copy, plus genre modules for landing-page/slide copy rules and a review-only QA gate that proposes fixes without auto-applying them. - Use Case: Paste an AI-drafted English blog post or a Korean landing-page hero section; the Skill flags tells like "In today's fast-paced world" or 强行升华 endings, rewrites only the flagged spans, and returns the humanized text with a change report and grade. ## Quick Start Humanize this AI-generated text and remove any AI tells while preserving all facts and meaning: [paste your text].

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-written?▼

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 severity tiers.

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

It detects ten prose categories including focal vocabulary like delve and tapestry, negative parallelism such as "It's not just X, it's Y", rule-of-three tricolons, signposting fillers, transition overuse, cliché openers, vague attribution, and formatting abuse, plus nine marketing-copy tells.

Does humanizing text change the facts or meaning?▼

No. Meaning preservation is the top rule: an Invariant Ledger records facts, numbers, names, dates, and certainty levels before editing, and a Delta Audit verifies survival afterward. Any drift on a supplied fact triggers a rollback of that edit.

Can it humanize marketing copy and landing pages?▼

Yes. Copy mode uses per-language copy-layer catalogues for headlines, CTAs, taglines, and landing pages, replacing the change-rate guard with a fact-anchor preservation guard. A design-copy module adds genre rules for landing pages and slide decks.

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 are reported as such.

When does the over-editing guardrail stop a rewrite?▼

In prose mode, edits exceeding an estimated 30% of the text trigger a warning and cap the grade at C, while exceeding 50% forces a halt and human review. Borderline estimates are treated conservatively as over the threshold.