Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add uu201/character-arc --skill novel-anti-detectiongit clone --depth 1 https://github.com/uu201/character-arcWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/uu201/character-arc/novel-anti-detection)<a href="https://agentmods.dev/skills/uu201/character-arc/novel-anti-detection"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-anti-detection/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/uu201/character-arc/novel-anti-detection"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-anti-detection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00085 | $0.01346 |
| Opus 5 | $0.00043 | $0.00673 |
| Sonnet 5 | $0.00017 | $0.00269 |
| Haiku 4.5 | $0.00009 | $0.00135 |
Grade A, and why
novel-anti-detection scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
89% identical to smart-search — 240 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
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）
- 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
- 困惑度（Perplexity）：AI文本困惑度偏低
- 一致性分析：AI文本风格一致性过高
- 信息密度均匀度：AI文本信息密度过于均匀
- 连接词频率：AI文本过度使用连接词
- 情感波动幅度：AI文本情感波动过于平缓
检测方法
- 统计特征分析：分析文本的统计特征
- 语言模型指纹：检测AI模型的输出特征
- 水印技术：AI生成文本可能包含隐形水印
- 风格一致性检测：检测文本风格是否过于一致
- 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：
- AI生成章节初稿
- 人工通读，标记AI痕迹明显的段落
- 对标记段落进行深度改写
- 全文通读，确保风格统一
- 添加个人化的细节和表达
- 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
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 149 lines · 85 tokens per session scan A 07ae0c8e0206
novel-anti-detection is a skill published in the GitHub repository uu201/character-arc (559 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 1,346 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to smart-search, differing in 240 lines, and is treated as a copy.
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