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-innovationgit 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-innovation)<a href="https://agentmods.dev/skills/uu201/character-arc/novel-innovation"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-innovation/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-innovation"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-innovation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00082 | $0.01483 |
| Opus 5 | $0.00041 | $0.00741 |
| Sonnet 5 | $0.00016 | $0.00297 |
| Haiku 4.5 | $0.00008 | $0.00148 |
Grade A, and why
novel-innovation 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 10d 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.
What it actually says
创新、反套路与融合引擎
Purpose
提供网文创新的方法论与工具库，帮助作者在套路中找到新意，在融合中创造独特，在AI辅助中保持人性。
When to Use
- 用户想要创新写法或反套路
- 用户想要融合多种题材
- 用户想要了解最新网文趋势
- 用户想要规避AI写作的常见陷阱
Instructions
反套路设计库（30+种）
叙事反套路
- 反派视角：以反派为主角
- 配角逆袭：配角才是真正主角
- 时间倒流：从结局开始叙事
- 多重视角：同一事件不同视角
- 不可靠叙述者：叙述者本身在说谎
设定反套路
- 弱化金手指：金手指有严重副作用
- 反转身份：主角其实是反派
- 世界是假的：世界本身是某种构造
- 系统是敌人：金手指系统有自己目的
- 升级是陷阱：越强越接近危险
角色反套路
- 反派有理：反派的目标其实更合理
- 主角有缺陷：主角的缺陷导致真正后果
- 配角超越：配角在某些方面超越主角
- 导师背叛：最信任的导师是敌人
- 宿敌联手：敌人变成最重要的盟友
剧情反套路
- 赢了但输了：表面胜利实际损失更大
- 输了但赢了：表面失败实际获得更多
- 预期违背：读者预期A结果得到B
- 因果倒置：原因其实是结果
- 循环叙事：故事回到起点但有新理解
情感反套路
- CP拆散：看似天造地设的CP没有在一起
- 仇人变亲人：深仇大恨后理解对方
- 英雄变恶龙：屠龙者终成恶龙
- 牺牲无意义：牺牲并没有换来预期结果
- 平凡最珍贵：追求非凡后回归平凡
类型反套路
- 修仙是骗局：修仙体系本身有问题
- 系统是牢笼：系统在控制宿主
- 重生是诅咒：重生不是福利而是惩罚
- 穿越是实验：穿越背后有操控者
- 末世是净化：末世不是灾难而是重生
2026网文趋势关键词
- 无CP大女主：独立成长，不依附男性
- 发疯文学：情绪极端化、行为不可预测
- 考据式穿越：严谨的历史/科学知识运用
- 人性博弈：深度心理博弈与道德困境
- 东方美学叙事：中式审美与叙事风格
- 名场面：高传播度的经典场景设计
- 修仙2.0：传统修仙的创新变体
- 短剧改编：为短剧化设计的网文
AI辅助写作陷阱
- 剧情雷同：AI倾向于生成相似剧情
- 角色扁平：AI角色缺乏深度和矛盾
- 对话生硬：AI对话缺乏口语感和个性
- 逻辑过度完美：缺乏真实世界的混沌感
- 情感浅薄：AI难以模拟复杂情感
- 创意趋同：AI在相同提示下产出相似内容
- 设定堆砌：AI倾向于堆砌设定而非有机融入
- 节奏均质：AI缺乏节奏变化的直觉
类型融合操作
- 查阅
novel-genres/references/genre-fusion-matrix.md获取相容性 - 选择主题材+副题材
- 找到融合接口
- 设计融合规则
- 验证自洽性
- 小范围试写
Bundled Resources
references/index.md— 创新引擎索引references/anti-cliche-library.md— 反套路设计库references/genre-fusion-compatibility.md— 类型融合相容性references/meme-implantation.md— 热梗植入手册references/ai-writing-pitfalls.md— AI写作陷阱详解
Checklist
- 反套路设计不破坏阅读体验
- 融合题材自洽
- 热梗植入自然
- AI写作陷阱已规避
- 创新点与读者期待平衡
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.
- 10d ago First seen · 137 lines · 82 tokens per session scan A 035cee624e0b
novel-innovation is a skill published in the GitHub repository uu201/character-arc (556 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 1,483 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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