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academic-humanization-low-ai
by
ZhengqiZhuang
· GitHub ↗
· v1.0.0
· MIT-0
141
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Install in OpenClaw
/install academic-humanization-low-ai
Description
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。
README (SKILL.md)
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}}
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: academic-humanization-low-ai
Version: 1.0.0
The skill bundle is a text-processing prompt designed to rewrite academic content to evade AI detection. It contains no executable code, system commands, or network activity, and its instructions in SKILL.md are limited to linguistic manipulation of the provided input text without any indicators of data exfiltration or system compromise.
Capability Assessment
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.
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install academic-humanization-low-ai - After installation, invoke the skill by name or use
/academic-humanization-low-ai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of "academic-humanization-low-ai" skill
- Deeply rewrites academic texts to systematically reduce AI-generated characteristics
- Optimizes syntactic and linguistic features, including sentence length variation, vocabulary diversity, and connection word replacement
- Alters sentence and paragraph structure to disrupt common AI patterns
- Maintains academic tone and core meaning without reducing information content
- Provides only the rewritten text as output, with no process explanation or summary statements
Metadata
Frequently Asked Questions
What is academic-humanization-low-ai?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 141 downloads so far.
How do I install academic-humanization-low-ai?
Run "/install academic-humanization-low-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is academic-humanization-low-ai free?
Yes, academic-humanization-low-ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does academic-humanization-low-ai support?
academic-humanization-low-ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created academic-humanization-low-ai?
It is built and maintained by ZhengqiZhuang (@zhengqizhuang); the current version is v1.0.0.
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