Cnki Aigc Rewrite

改写中文学术论文中被知网AIGC检测器标为"红色显著"的段落，目标是将AI率落出红色区间且不改变事实/数字/术语/引用。基于实战将20.6%降至10.1%（净降10.5个百分点）的工作流提炼。使用场景：用户提到"知网AIGC""降AI率""红色显著""降重"或贴出AIGC检测报告片段时触发。

51 stars 6 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add qingshanliuci/cnki-aigc---skill --skill cnki-aigc-rewrite

Manual install

git clone --depth 1 https://github.com/qingshanliuci/cnki-aigc---skill.git /tmp/cnki-aigc---skill
mkdir -p ~/.claude/skills
cp -r /tmp/cnki-aigc---skill/. ~/.claude/skills/cnki-aigc-rewrite

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

## When to use

用户做以下任一动作时触发：
- 提到"知网AIGC检测""AI率""红色显著""降AIGC""降AI率"
- 上传AIGC检测报告（PDF/截图）
- 贴出一段被标为红色或疑似的论文文本
- 询问"怎么改这段不像AI写的"

仅适用于**中文学术论文**（学位论文、期刊投稿、学术报告）。不适用于：
- 摘要/Abstract（结构化文本天然像AI，但通常不计入AI字符数）
- 文献引用密集段（"X等（2020）发现……"难以脱模板）
- 研究方法固定描述句（"采用双向固定效应模型"是规范表达）
- 非学术文本（自媒体、营销文案、小说）

## 核心认知：检测器抓的是什么

知网AIGC检测器**不是抓"AI写的"，而是抓5种语言模式**。理解这5种模式比记规则更重要：

**模式1：句法节奏的可预测性** — LLM输出句长集中在20-35字（正态分布），人类写作是齐夫分布（少数特别长、少数特别短、多数中等）。改写要刻意打破均匀。

**模式2：信息密度的均匀性** — LLM每段密度都差不多，人类写作有"高密度论证段"和"低密度铺陈段"。检测器跟踪段级特征值方差。

**模式3：术语的句法位置固定** — LLM倾向把术语放在主语位置（"逆向技术溢出转化为创新能力"），人类更常放在话题或宾语位置（"企业把外部技术转化为创新能力"）。**不动术语本身，但挪动它在句子里的角色**。

**模式4：连接词功能重叠** — LLM爱用"因此""从而""进而""由此"，功能高度重叠都在做因果推进。人类的连接词承担多种功能：补充（也就是说）、转述（换句话说）、强调（——）、对照（同向）。

**模式5：模板段功能全等性** — 三/四项工整排比、抽象名词链、段尾元话语收束、模板化报告句、平行铺陈+末尾收束。这5个具体特征是上面5种模式的表层呈现。

## 工作流：根据输入长度自动切换

### 路线A：交互式精修（输入<800字）

用户贴一段红色显著文本进来，按以下步骤处理：

**步骤1：识别高危特征**
扫描这段文本，列出它命中了下面哪几个具体特征（不必全列，列最关键2-3条）：
- 三/四项工整排比（"从X看……从Y看……从Z看……" / "对A……对B……对C……" / "一方面……另一方面……" / "A以a为主；B以b为主；C以c为主"）
- 抽象名词链（"传导机制""调控变量""动态监测体系""未被纳入检验的路径仍是传导重要环节"）
- 段尾元话语（"这一结论""上述发现表明""为后续……提供了实证依据"）
- 模板化报告句（"X的研究表明""在统计推断意义上获得支持""与预期方向一致""下降至/上升至"）
- 平行铺陈+末尾收束

**步骤2：执行改写动作**
按下列动作改写。**保留所有数字、变量名、文献编号[N]、年份、作者姓名、专业术语**：

1. **拆三/四项排比**：每一项换不同句式起头（描述句/判断句/动宾句/转折句各一）
   - ❌ "从产业基础来看……从人力资本来看……从投资动机来看……"
   - ✅ "中部处于工业化中期；高校与高职供给的工程技术劳动力够用；OFDI动机上又以战略资产寻求型为主"

2. **抽象名词链 → 动词短语**：
   - "传导机制较为契合" → "跟……同向"
   - "在统计推断意义上获得支持" → "被样本较为充分地支持"
   - "动态监测体系" → "看看是不是还走在一起"

3. **删段尾元话语**：让段落自然结束。

Read the full skill on GitHub

Details

Skill name: cnki-aigc-rewrite
Repository: qingshanliuci/cnki-aigc---skill
License: MIT
Repo updated: 1 May 2026

FAQ

What does the Cnki Aigc Rewrite skill do?

How do I install the Cnki Aigc Rewrite skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add qingshanliuci/cnki-aigc---skill --skill cnki-aigc-rewrite. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Cnki Aigc Rewrite popular?

It lives in qingshanliuci/cnki-aigc---skill, which has 51 GitHub stars and 6 forks.

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