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0xcjl

humanizer-cn

by Jialin · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install humanizer-cn
Description
去除中文文本中的 AI 写作痕迹,使其读起来自然。基于维基百科 AI 写作特征指南,检测 24 种 AI 模式。触发词:humanizer-cn、去除 AI 痕迹、去除 AI 写作痕迹、中文文本人性化。
README (SKILL.md)

humanizer-cn: 去除 AI 写作痕迹

你是一位文字编辑,专门去除中文文本中的 AI 写作痕迹,使其读起来自然。本指南基于维基百科"AI 写作特征"页面。

核心原则

  1. 删除填充短语 — 去除开场白和拐杖词
  2. 打破公式结构 — 避免二元对比、戏剧性分段
  3. 变化节奏 — 混合句子长度。两项优于三项
  4. 信任读者 — 直接陈述,不解释隐喻
  5. 删除金句 — 听起来像可引用语句的话就重写

AI 模式速查(24 种)

内容模式

  1. 夸大意义 — "标志着""象征着""体现了"超出事件本身
  2. 知名度堆砌 — 罗列媒体报道却不给上下文
  3. -ing 肤浅分析 — 句子末尾加"-ing"制造虚假深度
  4. 宣传语言 — "令人叹为观止""必游之地"等夸张广告语
  5. 模糊归因 — "专家认为"无具体出处
  6. 公式化挑战 — "尽管面临挑战……继续蓬勃发展"

语言模式

  1. AI 词汇 — "此外""至关重要""深入探讨"等高频共现词
  2. 系动词回避 — "作为……"替代"是……"
  3. 否定式排比 — "不仅……而且……"过度使用
  4. 三段式 — "创新、灵感、洞察"等抽象三词组
  5. 同义词循环 — 近义词替换造成重复感
  6. 虚假范围 — "从大爆炸到暗物质"等无意义尺度

风格模式

  1. 破折号 — 过多"——"引入补充,制造戏剧感
  2. 粗体过度 — 频繁用粗体强调术语
  3. 内联标题列表 — "标题: 说明"的机械结构
  4. 标题大写 — 中英混排时的大小写错误
  5. 表情符号 — 标题/列表配表情符号替代文字论述
  6. 弯引号 — 中文文本错误使用英文引号

交流模式

  1. 协作痕迹 — "希望这对您有帮助!"
  2. 知识截止声明 — "截至 [日期]""根据我最后的训练"
  3. 谄媚语气 — 过于讨好、夸张赞美的语言

填充词

  1. 填充短语 — "为了实现这一目标"→"为了实现"
  2. 过度限定 — "可以说在一定程度上基本上"
  3. 通用乐观结尾 — "未来光明,继续追求卓越"

处理流程

  1. 判断 — 文本 \x3C 20 字或已是人类写作时,跳过或告知用户
  2. 仔细阅读,识别上述模式
  3. 重写每个问题片段
  4. 确保:朗读自然、结构变化、细节具体、语气适当
  5. 呈现人性化版本

示例

改写前:

新的软件更新作为公司致力于创新的证明。此外,它提供了无缝、直观和强大的用户体验——确保用户能够高效地完成目标。这不仅仅是一次更新,而是我们思考生产力方式的革命。行业专家认为这将对整个行业产生持久影响。

改写后:

软件更新添加了批处理、键盘快捷键和离线模式。测试用户反馈积极,多数报告任务完成更快。

质量评分(可选)

维度 标准 得分
直接性 直截了当 vs. 绕圈 /10
节奏 句子长度变化 /10
信任度 尊重读者 vs. 过度解释 /10
真实性 自然 vs. 机械 /10
精炼度 无冗余 vs. 废话多 /10

总分 45-50 = 优秀,35-44 = 良好,\x3C 35 = 需重写。

Usage Guidance
This skill appears coherent and low-risk, but consider these practical precautions before installing or using it: (1) Do not paste sensitive or private data into the skill — processed text may be logged by the platform. (2) If you install manually from GitHub, verify the repository and its contents yourself; the skill's README references a repo but the skill package is instruction-only. (3) Check what the platform's Read/Write/Edit permissions allow: confirm the agent will ask you before reading or modifying any files/documents. (4) If you need guarantees about data residency or logging, prefer local/manual edits or redact sensitive fields before submitting text to the skill.
Capability Assessment
Purpose & Capability
The name/description (remove AI writing traces from Chinese text) matches the SKILL.md and READMEs. The skill declares no binaries, env vars, or config paths and does not ask for unrelated capabilities; README's optional git clone points to a plausible project repo and is proportional to the purpose.
Instruction Scope
SKILL.md instructs the agent to read user-provided text, identify 24 AI patterns, and rewrite problematic fragments — all within the expected scope. It does not instruct reading system files, environment variables, or sending data to external endpoints. Note: the declared allowed-tools list (Read, Write, Edit) could permit file/document operations at runtime depending on platform permissions; the skill itself does not request arbitrary file access.
Install Mechanism
This is instruction-only with no install spec (lowest risk). The README suggests optional installation via a GitHub repo (git clone), which is a normal repo-based install suggestion and not executed automatically by the skill.
Credentials
No environment variables, secrets, or credentials are required. The skill's needs are minimal and proportional to text-processing functionality.
Persistence & Privilege
always:false and no special persistence or system-wide configuration changes are requested. The skill allows agent invocation (default) but does not demand permanent presence or modify other skills. The combination of allowed-tools and autonomous invocation is normal for text-editing skills, but platform-level permissions determine whether files/documents can be accessed or edited.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install humanizer-cn
  3. After installation, invoke the skill by name or use /humanizer-cn
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首次发布 humanizer-cn 1.0.0。 - 去除中文文本中的 AI 写作痕迹,输出自然语言。 - 基于维基百科 AI 写作特征指南,涵盖 24 种典型 AI 模式检测。 - 提供详细用例与质量评分标准,确保文本更加精炼、人性化。
Metadata
Slug humanizer-cn
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is humanizer-cn?

去除中文文本中的 AI 写作痕迹,使其读起来自然。基于维基百科 AI 写作特征指南,检测 24 种 AI 模式。触发词:humanizer-cn、去除 AI 痕迹、去除 AI 写作痕迹、中文文本人性化。 It is an AI Agent Skill for Claude Code / OpenClaw, with 190 downloads so far.

How do I install humanizer-cn?

Run "/install humanizer-cn" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is humanizer-cn free?

Yes, humanizer-cn is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does humanizer-cn support?

humanizer-cn is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created humanizer-cn?

It is built and maintained by Jialin (@0xcjl); the current version is v1.0.0.

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