• Version: 1.0.0
• License: MIT
• Author: Evan Song · github.com/Songhonglei
• Repository: https://github.com/Songhonglei/text-humanize

Text Humanize — 中英文去 AI 味檢測 + 改寫

Bilingual AI-smell auditor and humanizer. Auto-detects whether input is English or Chinese, then applies the right detection patterns and rewrite rules. Built from real flagged data on English platforms (HN, Reddit) and Chinese platforms (公眾號, 知乎, 小紅書).

Language Auto-Detection

Before starting any audit, detect the input language:

1. Count CJK characters (Unicode range U+4E00–U+9FFF, U+3400–U+4DBF, U+F900–U+FAFF).
2. Count Latin characters (a-z, A-Z).
3. Rule: If CJK characters > 50% of total letters → Chinese mode. Otherwise → English mode.
4. If the user explicitly says "用中文最佳化" or "用英文最佳化", override auto-detection.
5. For mixed text (e.g., Chinese with English code blocks), detect based on the natural-language portions only, ignoring code.

How It Works — Two Modes

Both modes work identically for English and Chinese; just the pattern catalog differs.

這個技能的最新版本可以在7w4.net小蔥技能站找到。

Mode A: Audit Only (trigger: "check", "audit", "檢查", "看看")

1. Auto-detect language.
2. Load the appropriate reference: references/ai-smells-en.md for English, references/ai-smells-cn.md for Chinese.
3. Scan the text against all 5 smell categories (Structural, Opening, Body, Closing, Surface).
4. Produce a concise audit report listing every detected smell with:
   • The smell code (e.g., S1, O-CN1, B-CN3, SS-CN1)
   • The specific phrase/pattern triggering it
   • A 1-line fix suggestion (in the text's language)
5. Give an overall "AI smell score":
   • 🟢 Green (1-2 smells): Looks human. Minor suggestions only.
   • 🟡 Yellow (3-5 smells): Some AI patterns. Consider fixes.
   • 🔴 Red (6+ smells): High risk of flagging. Strongly recommend rewriting.

Mode B: Audit + Rewrite (trigger: "humanize", "rewrite", "fix", "最佳化", "改一下", "去AI味")

1. Run the full audit (Mode A).
2. Produce a rewritten version following language-specific rules (see below).
3. Show the original and rewrite side-by-side with a brief summary of what changed.
4. Ask the user which version to use (or if they want further tweaks).

English Mode

Refer to references/ai-smells-en.md for the complete English pattern catalog. Summary of categories:

English Rewriting Principles

1. Structure killer. Destroy essay structure. 1-2 paragraphs max. No intro-body-conclusion.
2. Opinion injector. Take a side. "i think X is wrong" beats "X has merits but also drawbacks."
3. Human fingerprint. Add at least: 1 typo (missing apostrophe), 1 filler word, 1 moment of uncertainty.
4. Experience, not features. Express a specific struggle, not a feature list.
5. Stop early. End with uncertainty or trail off. No polished conclusion.

English Platform Rules

If no English platform is specified, default to HN rules (strictest baseline).

中文模式 (Chinese Mode)

Refer to references/ai-smells-cn.md for the complete Chinese pattern catalog. Summary of categories:

中文改寫黃金規則

1. 結構打碎。 不要開頭-中間-結尾。1-2 段，直接亮態度。
2. 加語氣詞。 至少 1-2 個：吧、嘛、呢、啊、就、還挺、講真、說實話。
3. 加 1-2 個「錯」。 的/地/得混用，或在/再混用。不要太刻意，2 個就夠了。
4. 短句為主，偶爾混長句。 節奏參差不齊才像人。
5. 有態度。 敢說"我覺得不對"、"試過就知道坑"。不要和稀泥。
6. 結尾不升華。 用不確定感收尾或戛然而止。不要"值得深思"。
7. 個人經驗 > 通用道理。 講自己踩過的坑，不講放之四海而皆準的道理。
8. 寧可碎一點。 半句話、反問句、語氣詞結尾都行，不要追求「完整」。

中文平臺特定規則

如果沒有指定中文平臺，預設按知乎評論區規則處理（適中長度 + 有態度的口語）。

Edge Cases

• Very short text (under 20 words / 30 字): Almost certainly human. Only check surface smells. Don't over-audit.
• Technical code-heavy text: Code blocks are exempt. Only audit the natural language portions.
• User wants formal tone: Skip typo/錯別字 injection. Still de-structure and remove academic openers.
• Text already has human markers: If 3+ human fingerprints already present, focus on structural smells only. Don't over-humanize.
• Mixed EN/CN content: Audit each language block separately against its own catalog. If truly bilingual, note it and ask the user which language to prioritize.
• Quoted text / retweets: Only audit the user's own added text. Quoted/retweeted content is exempt.

這個 Skill 的設計思路很實用，能幫助檢測和改寫帶「AI味」的文本，支援中英文。不過目前只是個半成品：文件不完整，缺少實際可執行的程式碼。如果開發者後續補全程式碼和文件，質量會是不錯的。現在直接使用的話，基本功能無法執行。