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Novel Anti Detection

Community
uu201
novel-anti-detection

网文反AI检测与风控。当用户需要了解AIGC检测原理、降低AI文本被识别率、了解平台AI检测政策、设计混合创作模式时触发。覆盖检测技术原理、绕过策略、平台政策、混合创作模式(AI+人工改写双盲测试仅29%识别率)。

Overview

Publisheruu201
Repositorycharacter-arc
Skill namenovel-anti-detection
Stars
585
Forks
83
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by uu201 on GitHub. Read the source before you install it.

Installation

Install the Novel Anti Detection AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/uu201/character-arc/tree/main/resources/skills/Distilled-Novel-Toolbox/novel-anti-detection
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uu201/character-arc.git /tmp/character-arc
mkdir -p .claude/skills
cp -r /tmp/character-arc/resources/skills/Distilled-Novel-Toolbox/novel-anti-detection .claude/skills/novel-anti-detection
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Novel Anti Detection in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Novel Anti Detection on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Novel Anti Detection is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

反AI检测与风控

Purpose

提供AIGC检测的技术原理与应对策略,帮助作者了解各平台AI检测政策,设计合规的混合创作模式,在AI辅助与原创性之间找到平衡。

When to Use

  • 用户需要了解AIGC检测原理
  • 用户需要降低AI文本被识别率
  • 用户需要了解平台AI检测政策
  • 用户需要设计AI+人工混合创作流程

Instructions

AIGC检测技术原理

核心检测指标(200+项)
  1. 词汇多样性指数:AI文本词汇多样性偏低
  2. 句长变异系数:AI文本句长过于均匀
  3. 概念跳跃频率:AI文本概念过渡过于平滑
  4. 困惑度(Perplexity):AI文本困惑度偏低
  5. 一致性分析:AI文本风格一致性过高
  6. 信息密度均匀度:AI文本信息密度过于均匀
  7. 连接词频率:AI文本过度使用连接词
  8. 情感波动幅度:AI文本情感波动过于平缓
检测方法
  1. 统计特征分析:分析文本的统计特征
  2. 语言模型指纹:检测AI模型的输出特征
  3. 水印技术:AI生成文本可能包含隐形水印
  4. 风格一致性检测:检测文本风格是否过于一致
  5. 多维度综合判定:综合多项指标进行判定

绕过策略

分层处理策略

词汇层替换:

  • 将AI偏好词汇替换为同义但更自然的词汇
  • 增加口语化词汇和语气词
  • 使用不常见但准确的词汇

句式层变换:

  • 打破AI的句式模式
  • 增加句长变化
  • 插入碎片句和不完整句
  • 使用倒装、反问等特殊句式

段落层重组:

  • 打破AI的段落结构
  • 增加突兀的转折
  • 调整信息密度分布
  • 插入个人化的思考片段

风格层注入:

  • 注入个人写作风格特征
  • 增加不规则的写作习惯
  • 引入独特的表达方式
  • 添加"不完美"的写作痕迹

平台AI检测政策

晋江文学城
  • 已发布《关于AI辅助写作使用、判定的试运行公告》
  • 要求作者对AI辅助使用情况进行标注
  • 对AI生成内容占比高的作品进行标记
  • 检测方式:AI审核+人工审核
起点中文网
  • 对AI辅助写作持谨慎态度
  • 要求作者声明AI使用情况
  • 对AI生成占比高的内容可能影响推荐
  • 检测方式:技术检测+读者举报
番茄小说
  • 对AI辅助写作相对宽松
  • 但对纯AI生成内容有限制
  • 检测方式:技术检测
飞卢小说
  • 对AI辅助写作相对宽松
  • 关注内容质量而非生成方式
  • 检测方式:较少主动检测
2026年9月1日起
  • 《生成式AI服务管理办法》正式施行
  • 纵横中文网、七猫已要求作者对生成式AI使用情况进行标注
  • 各平台逐步加强AI内容管理

混合创作模式

AI生成 + 人工改写(推荐模式):

  • AI生成初稿(占40-60%)
  • 人工改写润色(占40-60%)
  • 双盲测试识别率仅29%(vs 纯AI生成83%)

操作流程:

  1. AI生成章节初稿
  2. 人工通读,标记AI痕迹明显的段落
  3. 对标记段落进行深度改写
  4. 全文通读,确保风格统一
  5. 添加个人化的细节和表达
  6. 最终检查,确保无AIGC特征

Bundled Resources

  • references/index.md — 反检测索引
  • references/detection-principles.md — 检测技术原理
  • references/bypass-strategies.md — 绕过策略详解
  • references/platform-policies.md — 平台政策汇总
  • references/mixed-creation-mode.md — 混合创作模式

Checklist

  • 了解目标平台AI检测政策
  • AI文本经过分层处理
  • 个人风格已注入
  • 混合创作比例合理
  • AIGC特征指标低于阈值

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Novel Anti Detection AI skill do?

网文反AI检测与风控。当用户需要了解AIGC检测原理、降低AI文本被识别率、了解平台AI检测政策、设计混合创作模式时触发。覆盖检测技术原理、绕过策略、平台政策、混合创作模式(AI+人工改写双盲测试仅29%识别率)。

Why use Novel Anti Detection on TypingMind?

Because you install it once and use it with any model. Novel Anti Detection is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Novel Anti Detection in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uu201/character-arc/tree/main/resources/skills/Distilled-Novel-Toolbox/novel-anti-detection. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Novel Anti Detection?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Novel Anti Detection?

As many as you like. As long as a model supports skills, you can use Novel Anti Detection with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Novel Anti Detection AI skill free?

Yes. It is published on GitHub by uu201 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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