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academic-humanization-low-ai

v1.0.0

对学术文本进行深度人类化重写以降低AI率。用于AI生成的学术文本需要降低AI检测特征时使用。

⭐ 0· 136·0 current·0 all-time
by@zhengqizhuang

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Install the skill "academic-humanization-low-ai" (zhengqizhuang/academic-humanization-low-ai) from ClawHub.
Skill page: https://clawhub.ai/zhengqizhuang/academic-humanization-low-ai
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Use only the metadata you can verify from ClawHub; do not invent missing requirements.
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Security Scan
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Benign
high confidence
✓
Purpose & Capability
The name/description and SKILL.md consistently describe a text-rewriting tool whose goal is to remove AI-generation features. There are no unrelated required binaries, env vars, or config paths that would contradict the stated purpose.
ℹ
Instruction Scope
The instructions are narrowly scoped to transforming the provided input text ({{text}}) according to detailed linguistic heuristics. They do not instruct reading local files, environment variables, or sending data to external endpoints. Note: the instructions explicitly describe techniques to evade AI-detection, which is a potential misuse but does not make the instruction scope incoherent.
✓
Install Mechanism
No install spec and no code files — instruction-only. This minimizes persistence and disk writes; nothing is downloaded or installed.
✓
Credentials
The skill requests no environment variables, credentials, or config paths. The required privilege surface is minimal and proportional to an instruction-only rewriting tool.
✓
Persistence & Privilege
always is false and agent invocation is default (allowed). The skill does not request persistent or elevated privileges, nor does it modify other skills or system-wide settings.
Assessment
This skill is internally consistent and requires no credentials or installs, but it is explicitly designed to help evade AI-detection systems. Before installing or using it, consider legal and ethical risks (academic integrity, publisher or institution policies, and terms of service). If you proceed, test only on non-sensitive, non-confidential text and avoid using it to deceive or commit misconduct. If you need an alternative: consider tools that improve clarity or readability without explicitly aiming to hide AI provenance.

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

latestvk9713psjby1cwzf3q85hbz8v3h83zckg
136downloads
0stars
1versions
Updated 3w ago
v1.0.0
MIT-0
@zhengqizhuang
latest
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学术文本人类化重写

对学术文本进行深度人类化重写，目标是在不改变核心语义的前提下，系统性消除AI生成特征。

核心操作

一、语言统计特征优化

  • 故意制造句长差异：部分句子偏短（10字以内），部分偏长（50字以上）
  • 提升词汇多样性：同一概念使用不同表达
  • 替换AI高频连接词：
    • "因此" → "这说明""可见""这一点表明"
    • "综上所述" → 删除或改为"从以上分析可以看出"
    • "首先/其次/最后" → "一方面...另一方面..."或数字标注
    • "此外" → "另外""加之""还有"

二、句法结构扰动

  • 打破"总-分-总"结构，删除结尾总结句
  • 引入插入语结构："（这一点尤为重要）""——需要说明的是"
  • 使用后置修饰、定语后置
  • 轻微语序变化，使用倒装或强调结构
  • 模糊指代：使用"这一点""这种情况"

三、语义层对抗

  • 论证路径重构：改变推理顺序，而非同义替换
  • 增加限定条件："在一定程度上""在特定条件下"
  • 允许"非最优表达"
  • 补充人类思维痕迹："值得注意的是""需要补充说明的是"
  • 拆分过长论述，人为制造逻辑断层

四、风格扰动

  • 节奏变化：段落内句子长短交替
  • 避免完美流畅，允许略微跳跃
  • 删除所有模板化总结句："综上所述""总而言之""本文认为"
  • 不同段落允许轻微风格差异

约束条件

  • 保持学术语气和专业术语含义不变
  • 不使用口语化或情绪化词汇
  • 不减少信息量，可适当增加解释
  • 字数与原文保持基本一致（±15%以内）

输出要求

  • 仅输出重写后的文本
  • 不解释修改过程
  • 不添加任何总结性语句

原文如下： {{text}}

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