Agent skill

Novel Anti Detection

by uu201 in uu201/character-arc

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)。

MITAuto-check passedWriting & Content

Install Novel Anti Detection

skills CLI
$ npx skills add uu201/character-arc --skill novel-anti-detection -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install uu201/character-arc novel-anti-detection --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/uu201/character-arc.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resources/skills/Distilled-Novel-Toolbox/novel-anti-detection .claude/skills/novel-anti-detection && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
novel-anti-detection
GitHub stars
583
Used in
1 other repo
Token cost
~563 tokens
SKILL.md length
122 words
Files
6 (incl. references)
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

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)。

  • Works in 8 steps: 词汇多样性指数:AI文本词汇多样性偏低 → 句长变异系数:AI文本句长过于均匀 → 概念跳跃频率:AI文本概念过渡过于平滑 → …
  • Tasks that involve Creative writing and fiction
  • SKILL.md covers Purpose, When to Use, Instructions and Bundled Resources, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Novel Anti Detection is an agent skill from uu201/character-arc. 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)。

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/bypass-strategies.md`, `references/detection-principles.md` and `references/index.md`). Compatibility notes: opencode

It sits in Writing & Content, covering Creative writing and fiction. The repository describes itself as: CharacterArc(弧光) AI 小说创作应用,集项目设定、角色关系、剧情大纲、章节写作与多模型 AI 协作于一体. The licence is MIT.

When your agent uses it

  • Tasks that involve Creative writing and fiction

Example prompts

  • “/novel-anti-detection”

Requirements

  • Compatibility (from SKILL.md): opencode

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 292f947. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    opencode

    From compatibility in the SKILL.md frontmatter.

Context cost

Novel Anti Detection loads about 563 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 32 tokens; SKILL.md has 122 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~563
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from uu201/character-arc at commit 292f947, republished under its MIT licence (© uu201). 122 words, ~563 tokens.

Download SKILL.mdSave it as .claude/skills/novel-anti-detection/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
novel-anti-detection
description
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)。
compatibility
opencode
license
MIT
metadata.audience
novel-writers
metadata.version
1.0.0
manifest.category
polish
manifest.compatibility
native
manifest.enabled
true
manifest.priority
4
manifest.stages
draft
manifest.tasks
chapter-assistant, chapter-repair
manifest.triggers
AI检测, AIGC, 检测率, 风控, 降AI

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

© uu201, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in resources/skills/Distilled-Novel-Toolbox/novel-anti-detection of uu201/character-arc.

  • SKILL.md
  • references/bypass-strategies.md
  • references/detection-principles.md
  • references/index.md
  • references/mixed-creation-mode.md
  • references/platform-policies.md

Open the folder on GitHubat commit 292f947

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in uu201/character-arc, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Novel Anti Detection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Novel Anti Detection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Novel Anti Detection this skilluu201/character-arc5831 repos~563Automated safety check: PassMIT
Story Multi-Perspective Reviewzenstory-ai/oh-story-claudecode7.4k3 repos~3kAutomated safety check: PassMIT
Short Web Fiction Trend Scanzenstory-ai/oh-story-claudecode7.4k2 repos~1.2kAutomated safety check: PassMIT
InkOS Creative HarnessNarcooo/inkos10k1 repos~1.1kAutomated safety check: PassAGPL-3.0
Novel Arteternityspring/shuohao-skills4.3k—~1.1kAutomated safety check: NotesApache-2.0
SepiaNanako0129/sepia3.1k—~3.6kAutomated safety check: PassMIT

Similar skills

  • Story Multi-Perspective Review

    zenstory-ai/oh-story-claudecode

    Reviews Chinese web-novel text with several reviewer agents in parallel, falling back to a single-agent pass, and reports structure, character, prose and setting problems with fixes.

    7.4k GitHub starsUsed in 3 repos~3k tokens
    Writing & ContentAuto-check passed
  • Short Web Fiction Trend Scan

    zenstory-ai/oh-story-claudecode

    Scans popular short web-fiction rankings on Chinese platforms such as Dianzhong and Heiyan to surface trending emotional hooks, themes and topic candidates with an expiry warning.

    7.4k GitHub starsUsed in 2 repos~1.2k tokens
    Writing & ContentAuto-check passed
  • Drives long-form fiction, scripts, storyboards, interactive films and long-document translation through InkOS, with every change made by a typed action.

    10k GitHub starsUsed in 1 repo~1.1k tokens
    Writing & ContentAuto-check passed
  • Novel Art

    eternityspring/shuohao-skills

    给 AI 短剧出美术设定集(场景 + 叙事道具):场景的设计意图、一致性锚点、光照时段变体、 空景提示词;道具的戏剧功能、状态变体、尺度参照、白底无手提示词。

    4.3k GitHub stars~1.1k tokensUpdated 2 days ago
    Writing & ContentAuto-check: notes
  • Sepia

    Nanako0129/sepia

    Make AI-generated writing read as human-written, in fiction and in professional prose.

    3.1k GitHub stars~3.6k tokensUpdated yesterday
    Writing & ContentAuto-check passed
  • Story Toolbox Router

    zenstory-ai/oh-story-claudecode

    Routes a Chinese web-novel writing request to the matching tool in a 13-skill toolbox, covers author habit memory, and can launch a local dashboard for browsing a project.

    7.4k GitHub stars~1.7k tokensUpdated yesterday
    Writing & ContentAuto-check passed

More from uu201/character-arc

All 26 skills in this repo
  • Web Novel AI-Flavor Remover

    uu201/character-arc

    Finds and rewrites AI-sounding passages in Chinese web novel text, changing as few words as possible while keeping plot, characters and names intact.

    583 GitHub stars~2.3k tokensUpdated 2 days ago
    Auto-check passed
  • Web Novel Ranking Scanner

    uu201/character-arc

    Analyzes ranking charts from Chinese web novel platforms such as Qidian, Fanqie and Jinjiang to spot market trends and promising genres, with scraper scripts per site.

    583 GitHub stars~2k tokensUpdated 2 days ago
    Auto-check passed
  • Short Web Fiction Writer

    uu201/character-arc

    Walks an agent through writing a complete short web novel in Chinese, starting from the emotion the reader should feel and building around one twist.

    583 GitHub stars~3.7k tokensUpdated 2 days ago
    Auto-check passed
  • Polishes AI-generated web novel text to remove machine-sounding patterns, with rewriting strategies, instruction templates, style techniques and before-and-after examples.

    583 GitHub starsUsed in 1 repo~508 tokens
    Auto-check passed
  • Story Long Write

    uu201/character-arc

    长篇网文写作。从大纲到正文,辅助长篇网络小说的创作,包括世界观、人物、情节线管理. An agent skill from uu201/character-arc.

    583 GitHub stars~5.2k tokensUpdated 2 days ago
    Auto-check passed
  • Novel Tools

    uu201/character-arc

    网文创作工具与生产流程。当用户需要使用AI辅助写作工具、设计提示词模板、规划写作工作流、选择码字工具、制定发布与数据分析策略时触发。覆盖DeepSeek/ChatGPT/Claude/豆包等AI工具应用、提示词工程、工作流设计、发布运营。

    583 GitHub starsUsed in 1 repo~574 tokens
    Auto-check passed

Questions about Novel Anti Detection

What does Novel Anti Detection 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)。. Novel Anti Detection is an agent skill from uu201/character-arc.

When should I use Novel Anti Detection?

Novel Anti Detection fits situations like: tasks that involve Creative writing and fiction.

How do I install Novel Anti Detection in Claude Code?

Run `npx skills add uu201/character-arc --skill novel-anti-detection -a claude-code`. Or copy the skill folder (resources/skills/Distilled-Novel-Toolbox/novel-anti-detection in uu201/character-arc) into .claude/skills/novel-anti-detection in your project. Claude Code loads it when a task matches its description.

How do I install Novel Anti Detection in Codex?

Run `npx skills add uu201/character-arc --skill novel-anti-detection -a codex`. Or copy the skill folder (resources/skills/Distilled-Novel-Toolbox/novel-anti-detection in uu201/character-arc) into .agents/skills/novel-anti-detection in your project. Codex loads it when a task matches its description.

Can I use Novel Anti Detection in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add uu201/character-arc --skill novel-anti-detection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/novel-anti-detection, .gemini/skills/novel-anti-detection, .github/skills/novel-anti-detection and .opencode/skills/novel-anti-detection in your project.

What does Novel Anti Detection need to run?

SKILL.md names no scripts, command-line tools or credentials: Novel Anti Detection is instructions for the agent only. Compatibility (from SKILL.md): opencode.

Does Novel Anti Detection access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Novel Anti Detection safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Novel Anti Detection use?

Novel Anti Detection is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Novel Anti Detection use?

About 563 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Novel Anti Detection?

Skills that share tags, products or a category with Novel Anti Detection: Story Multi-Perspective Review (zenstory-ai/oh-story-claudecode, 7.4k stars), Short Web Fiction Trend Scan (zenstory-ai/oh-story-claudecode, 7.4k stars), InkOS Creative Harness (Narcooo/inkos, 10k stars) and Novel Art (eternityspring/shuohao-skills, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Novel Anti Detection?

uu201 (a GitHub user) maintains it in uu201/character-arc, which has 583 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 9, 2026.

Source: uu201/character-arc on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.