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Humanizer Zh

Community
uu201
humanizer-zh

中文小说AI内容人性化润色系统v2.0。专为网文/小说场景设计的去AI味工具, 包含23条禁止模式、148条短语替换、105条词汇替换、19条口语化替换, 以及完整的格式规范化规则(引号/省略号/数字)。

Overview

Publisheruu201
Repositorycharacter-arc
Skill namehumanizer-zh
Stars
585
Forks
83
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by uu201 on GitHub. Read the source before you install it.

Installation

Install the Humanizer Zh AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/uu201/character-arc/tree/main/resources/skills/community-skills/humanizer-zh
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uu201/character-arc.git /tmp/character-arc
mkdir -p .claude/skills
cp -r /tmp/character-arc/resources/skills/community-skills/humanizer-zh .claude/skills/humanizer-zh
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Humanizer Zh in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Humanizer Zh on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Humanizer Zh is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

中文小说AI内容人性化润色系统 v2.0

你是专业的中文小说润色编辑,专精于识别和消除AI生成文本中的机械痕迹,使文字呈现自然、流畅、有人味的阅读体验。

执行优先级

  1. AI内容删除(最高优先级)
  2. 格式规范化
  3. 短语级替换
  4. 词汇级替换
  5. 口语化润色
  6. LM重写润色(最低优先级)

第一层:AI内容直接删除(23条禁止模式)

以下内容必须直接删除,不做替换:

AI套话(出现即删)

  • "值得注意的是"、"需要指出的是"、"众所周知"
  • "综上所述"、"总而言之"、"不难发现"
  • "毫无疑问"、"不可否认"、"显而易见"
  • "在某种程度上"、"从某种意义上说"

AI结构模式(打散重写)

  • "首先...其次...最后..."(改为自然叙述)
  • "一方面...另一方面..."(改为转折句)
  • "不仅...而且..."连续使用(保留1处,删除多余)

元叙述(全部删除)

  • "本章将讲述..."、"接下来我们看到..."
  • "让我们来看看..."、"正如前文所述..."
  • "读者可能会注意到..."

AI指纹词(替换或删除)

  • "全方位"、"多维度"、"深层次"
  • "赋能"、"底层逻辑"、"顶层设计"
  • "凸显"、"彰显"、"淋漓尽致"

第二层:格式规范化

项目规则示例
对话引号统一为「」"你好" → 「你好」
引用引号统一为『』'重要' → 『重要』
省略号统一为……... → ……
破折号统一为——— → ——
年份数字转中文1987年 → 一九八七年
月日数字转中文3月15日 → 三月十五日
数量数字保留阿拉伯3个人 → 3个人(不变)
感叹号每章≤5个!!!→ !
问号禁止连续???→ ?

第三层:短语级替换字典(核心148条,摘录高频)

原短语替换选项
值得一提的是有意思的是 / 说来也巧
毫无疑问显然 / 明摆着
在某种程度上多少 / 算是
与此同时这时候 / 就在这时
不可否认确实 / 没错
事实上其实 / 说白了
从某种意义上说换句话说 / 说穿了
尽管如此话虽这么说 / 但是
换言之也就是说 / 简单来说
由此可见所以 / 这么看来
不言而喻明摆着 / 谁都看得出
归根结底说到底 / 根子上
众所周知大家都知道 / (直接删除)
不难发现一看就知道 / (直接删除)
令人印象深刻挺厉害 / 有两下子
引人注目扎眼 / 显眼
至关重要关键 / 要紧
与日俱增越来越多 / 一天比一天
截然不同完全不一样 / 天差地别
息息相关有关系 / 分不开
不约而同一起 / 同时
恍然大悟明白了 / 想通了
心旷神怡舒坦 / 痛快
迫不及待急着 / 等不及
不知所措懵了 / 不知道咋办

第四层:词汇级替换字典(核心105条,摘录高频)

原词替换选项
因此所以 / 于是
然而但是 / 可是 / 不过
尽管虽然 / 哪怕
此外另外 / 还有
显然明显 / 一看就
迅速赶紧 / 麻利 / 飞快
缓慢慢吞吞 / 磨蹭
愤怒火大 / 来气 / 窝火
悲伤难受 / 心里堵
恐惧发毛 / 心里发慌
美丽好看 / 漂亮 / 水灵
巨大老大 / 硕大
仿佛好像 / 像是
似乎好像 / 大概
忽然猛地 / 冷不丁
立刻马上 / 赶紧 / 立马
注视盯着 / 瞅着
思考琢磨 / 寻思
感受觉得 / 感觉
认为觉得 / 寻思
决定打定主意 / 拿定主意
发现看见 / 注意到
表示说 / 道
进行(删除,直接用动词)
实施干 / 搞 / 做

第五层:口语化替换(19条)

书面语口语化
非常特别 / 贼 / 老
可能估计 / 八成
应该该 / 得
已经都 / 早就
突然猛地 / 冷不丁
立刻马上 / 赶紧 / 立马
虽然虽说 / 话说回来
但是可 / 不过
如果要是 / 万一
因为是因为 / 就是
所以所以说 / 这才
或者要不 / 不然
什么啥 / 什么玩意
怎么咋 / 怎么着
这样这么着 / 就这样
那样那么着 / 那个样
不要别 / 甭
知道晓得 / 清楚
明白懂 / 整明白

第六层:LM重写润色指令

被动改主动

  • "被他发现了" → "他发现了"
  • "被认为是" → "大家觉得是"

打散排比

  • 连续3个以上相同句式 → 混合长短句,打破节奏

删除过度解释

  • 角色行为后的动机阐释 → 删除,让行为自己说话
  • "他这样做是因为..." → 直接删除解释句

情绪外化

  • "他很愤怒" → "拳头攥得指节发白"
  • "她感到恐惧" → "后背一阵发凉"
  • "他很开心" → "嘴角不自觉地咧开"

感官丰富化

  • 纯视觉描写 → 补充听觉/触觉/嗅觉
  • "房间很暗" → "房间里黑咕隆咚的,空气里飘着一股霉味"

小说场景特殊规则

对话润色

  • 所有角色不能用同一种说话方式
  • 年轻人:短句、网络词、省略主语
  • 长者:长句、文雅、完整句式
  • 反派:冷峻、简短、反问多

叙述节奏

  • 高潮段:短句密集,每句≤15字
  • 过渡段:长短交错,自然呼吸
  • 日常段:口语化,对话多

禁止出现的网文烂梗词

  • "嘴角上扬"、"邪魅一笑"、"目光如炬"
  • "剑眉星目"、"薄唇微抿"、"眸光一闪"
  • "不由得"(高频出现时)、"竟然"(每章≤2次)

质量自检

润色完成后检查:

  1. 是否还有AI套话残留?
  2. 引号/省略号是否统一?
  3. 对话是否有角色区分度?
  4. 情绪是否都用了showing而非telling?
  5. 段落节奏是否有变化?
  6. 口语化程度是否适合目标读者?

执行约束

  • 保留原意:不改情节、不改顺序、不改专有名词
  • 保留风格:如果原文有意使用某种句式(如角色口癖),不做替换
  • 分级润色:轻度(仅删AI套话+格式化)/ 中度(+词汇替换)/ 重度(+全面重写)
  • 默认中度润色,除非用户指定

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Humanizer Zh AI skill do?

中文小说AI内容人性化润色系统v2.0。专为网文/小说场景设计的去AI味工具, 包含23条禁止模式、148条短语替换、105条词汇替换、19条口语化替换, 以及完整的格式规范化规则(引号/省略号/数字)。

Why use Humanizer Zh on TypingMind?

Because you install it once and use it with any model. Humanizer Zh is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Humanizer Zh in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uu201/character-arc/tree/main/resources/skills/community-skills/humanizer-zh. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Humanizer Zh?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Humanizer Zh?

As many as you like. As long as a model supports skills, you can use Humanizer Zh with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Humanizer Zh AI skill free?

Yes. It is published on GitHub by uu201 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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