humanizer

name	humanizer
description	Remove AI-writing tells from finished prose only — neutral tone, preserve facts and structure. Optional deep QA (tell-focused L1–L4). Use for 去AI味, humanize, de-AI polish, 润色; not 审校定稿 with author voice-default, publish-ready writing pipeline, blank-page drafts, or chapter reorder.

Humanizer

In-place language polish on finished or near-finished text. Default: do not reorder sections, change heading levels, or add/remove factual claims.

Produces: revised text; optional QA report (references/report-template.md).

Does not produce: new articles, DAG reorder, or platform-specific social copy (user provides style constraints separately).

Hard rules

1. Preserve facts — numbers, names, dates, links, code, quotes stay unless clearly wrong and user allows correction.
2. Preserve structure — same headings and section order unless user explicitly asks to restructure.
3. No invented sources — do not add citations, studies, or anecdotes to "sound human."
4. Match draft language — polish Chinese in Chinese rules, English in English rules; bilingual drafts follow references/bilingual.md.
5. Smallest change — fix tells first; avoid full rewrite when local edits suffice.

Effort level

	touch	standard (default)	deep
Scope	One section or <800 chars	Full piece	Full piece + QA report
Passes	Detect → rewrite	+ soul pass → vet	+ L1–L4 (references/qa-layers.md)
Output	Revised text only	Revised text	Text + 质检报告

Workflow

1. Scope — Read references/workflow.md. Confirm path or paste, language lane, tone (technical / casual / formal), and forbidden edits.
2. Detect — Scan references/patterns.md; apply references/zh-tells.md or references/en-tells.md.
3. Rewrite — Local fixes first; vary rhythm; remove chatbot artifacts.
4. Soul pass — Read references/soul-pass.md; add human texture without new facts.
5. Vet — Read references/vet.md; revert over-edits.
6. Deliver — Revised text in place (file edit or paste). Deep: append QA report.

Anti-pattern finale (standard+)

After draft rewrite, ask internally: What still sounds obviously AI-generated? Fix remaining tells in one more pass. Do not narrate this loop to the user unless they want a deep QA report.

Scope boundaries

Use this skill	Use instead
去 AI 味 on existing finished text	Blank-page writing → article-write
Neutral register polish (no author persona)	article-write refine — author voice + qa-layers publish-ready
Light texture without new claims	Chapter reorder / DAG fix
Optional structured QA (deep)	Fact-checking / topic mastery → topic-learn

References

• references/workflow.md — intake and delivery
• references/patterns.md — 24-pattern index (language-agnostic)
• references/zh-tells.md — Chinese tells and replacements
• references/en-tells.md — English tells and replacements
• references/bilingual.md — mixed ZH/EN spacing and lane rules
• references/soul-pass.md — voice without slop
• references/vet.md — false positives and stop conditions
• references/qa-layers.md — L1–L4 gates (deep mode)
• references/report-template.md — 质检报告 shape
• references/patterns-full.md — extended EN examples (Wikipedia-derived)