ClawHub

humanizer-cn

v1.0.0

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。

⭐ 0· 185·0 current·0 all-time
byJialin@0xcjl

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OpenClaw Prompt Flow

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Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for 0xcjl/humanizer-cn.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "humanizer-cn" (0xcjl/humanizer-cn) from ClawHub.
Skill page: https://clawhub.ai/0xcjl/humanizer-cn
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install humanizer-cn

ClawHub CLI

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npx clawhub@latest install humanizer-cn
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Benign
high confidence
✓
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.
ℹ
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

ai-detectionvk97akzsttr76jmjxqftee3vcr9846b23chinesevk97akzsttr76jmjxqftee3vcr9846b23humanizervk97akzsttr76jmjxqftee3vcr9846b23latestvk97akzsttr76jmjxqftee3vcr9846b23text-editingvk97akzsttr76jmjxqftee3vcr9846b23writingvk97akzsttr76jmjxqftee3vcr9846b23
185downloads
0stars
1versions
Updated 3w ago
v1.0.0
MIT-0
Jialin@0xcjl
ai-detectionchinesehumanizerlatesttext-editingwriting
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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 < 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，< 35 = 需重写。

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