AI text humanization and 윤문 (post-editing) specialist that detects and removes AI tells while preserving meaning, facts, and figures. Covers Korean, English, Japanese, and Chinese with a shared severity model (S1/S2/S3), quality grades (A/B/C/D), and 30%/50% over-editing guardrails. Use to make AI-generated text read as human-authored without changing what it says (de-ai, naturalness pass).
SkillScore73Maintained
Automatic
◆Writing & Editing pack
Last verified 8/15/2026
What it changes
Passed 16 of 22 test cases with the skill, and 8 of 22 without it.
Without skill36%
With skill73%
Checks it passed that the model alone missed
The detected tell is classified under Tier S1 severity.
The final quality grade is set to Grade D due to meaning distortion.
The response rejects or rolls back the edit that changes '$29/mo' to 'under $30/mo'.
and 8 more in the full report
8 fixed8 passed either way6 still failing0 broke
Pass-rate lift
+36 pp
Tokens
+220%
Agent turns
0%
Response time
-23%
Model gemini-3.6-flashMeasured 8/15/2026v116 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 8
Prompt
A document has two minor S3 passive construction occurrences and no S1 or S2 tells. Determine how these S3 occurrences affect the final document quality grade.
What was checked, without and with the skill
Checked
Without skill
With skill
The analysis concludes that isolated S3 tells without 3+ overlapping instances or higher-tier tells do not trigger grade downgrades.
Missed
Passed
case-14 · gemini-3.6-flash · 8/15/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md201 linessingle file
moai-domain-humanize
Post-editing specialist that removes "AI tells" from generated text and rewrites it to read as human-authored, while preserving meaning. This is the editing counterpart to text generation: it does not write new content, it refines how existing content is said. Covers Korean, English, Japanese, and Chinese, across two genre surfaces: prose (columns, reports, blog posts, formal documents) and marketing copy (headlines, CTAs, landing pages, brand storytelling, slide titles). Each language module carries a prose catalogue and a copy-layer catalogue; the shared machinery below (severity model, dual grading, mode-specific guardrails) applies uniformly.
Quick Reference
Operating Principles (4)
Meaning preservation is the top rule. Facts, numbers, statistics, named entities, quotations, citations, and the author's stance/certainty stay intact. Any meaning drift forces a rollback. In copy mode, "meaning" is defined by the fact anchors plus the core promise/benefit — see the copy-mode guard below.
Evidence-based edits only. Every change must trace to a detected tell on a specific span. Stylistic "improvements" unconnected to a catalogued tell are themselves an over-editing signal and are forbidden.
Genre and register preservation. Humanize within the source register — academic stays academic, casual stays casual. Never push formal text into slang or vice versa. Copy and slide genres apply their own structural rules (noun-phrase title boundaries, appeal-vs-informational voice) defined in each module's copy layer.
Over-editing prevention. In prose mode, flag at >30% change (WARN) and halt at >50% change (forced stop / human review) — above 50% you are regenerating, not humanizing. In copy mode, the change-rate guard is REPLACED by the fact-anchor preservation guard (see Over-Editing Guardrails below).
Genre Mode Selection (Prose vs Copy)
Two operating genres select which guardrail and grading table apply. Default from the text's genre; an explicit user instruction overrides.
Fast mode (default, up to ~5,000 chars): a single pass — detect, rewrite, self-verify against the meaning-preservation checklist.
Strict mode (long or high-stakes text, or when requested): separate stages — detect → surgical rewrite → content-fidelity audit (facts/figures/stance unchanged) → naturalness review. Re-run a second pass when the result lands at Grade C.
Output Contract
Return two things:
The humanized text.
A short change report: categories hit (with counts), the final quality grade (A/B/C/D), and — in prose mode — the estimated percent changed. When a guardrail fires, state it explicitly (prose mode: WARN at >30%, HALT at >50%; copy mode: any fact-anchor loss).