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-emotiongit 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-emotion)<a href="https://agentmods.dev/skills/uu201/character-arc/novel-emotion"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-emotion/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-emotion"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-emotion.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 | $0.00090 | $0.01608 |
| Opus 5 | $0.00045 | $0.00804 |
| Sonnet 5 | $0.00018 | $0.00322 |
| Haiku 4.5 | $0.00009 | $0.00161 |
Grade A, and why
novel-emotion 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 9d 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
情绪与代入感设计
Purpose
提供网文情绪工程的完整方法论，帮助作者精准控制读者情绪走向，增强代入感与沉浸感，让读者"停不下来"。
When to Use
- 用户需要设计情绪曲线
- 用户需要增强读者代入感
- 用户需要制造共情/催泪效果
- 用户需要管理读者期待感
- 用户觉得AI写的文"没有人的情绪褶皱"
Instructions
情绪色彩轮盘
网文核心情绪与对应场景：
| 情绪 | 触发场景 | 对应爽点 |
|---|---|---|
| 愤怒 | 不公/欺压/背叛 | 复仇打脸 |
| 期待 | 悬念/即将突破/宝物 | 揭晓/突破/获得 |
| 紧张 | 危机/对决/倒计时 | 化解/胜利 |
| 感动 | 牺牲/守护/重逢 | 情感升华 |
| 震撼 | 真相/实力/反转 | 认知颠覆 |
| 搞笑 | 误解/反差/荒诞 | 轻松愉悦 |
| 恐惧 | 未知/危险/诡异 | 安全脱险 |
| 甜蜜 | 互动/告白/守护 | 情感满足 |
共情触发器（20+种）
- 前世痛苦：展示主角过去的苦难，引发同情
- 亲人牺牲：至亲为保护主角而牺牲
- 被误解委屈：主角做了好事却被误解
- 孤独无助：主角独自面对困境
- 被背叛：信任之人的背叛
- 不公待遇：明明没错却被惩罚
- 努力不被认可：付出却得不到回报
- 保护弱者：主角挺身保护弱小
- 失去重要之物：失去珍视的人/物
- 重逢：久别重逢的喜悦
- 守护承诺：为承诺拼尽全力
- 成长蜕变：从弱小到强大的蜕变
- 自我牺牲：为他人牺牲自己
- 信念坚守：在压力下坚持信念
- 被认可：终于获得认可与尊重
- 遗憾弥补：弥补过去的遗憾
- 逆境不屈：在绝境中不放弃
- 温柔瞬间：硬汉/冷角色的温柔
- 师徒情深：师徒之间的深厚感情
- 兄弟义气：生死之交的兄弟情
期待感管理
期待建立：
- 悬念钩：抛出未解之谜
- 利益钩：暗示即将获得的奖励
- 情感钩：暗示即将发生的情感事件
- 对抗钩：暗示即将到来的对决
期待延迟：
- 适当延迟满足，但不能太久
- 延迟期间用小满足维持
- 延迟后的满足要超越期待
期待超越：
- 结果比读者预期更好
- 方式比读者预期更精彩
- 影响比读者预期更深远
情绪曲线工程
先抑后扬阶梯式（最常用）：
- 压抑期：主角遭遇困境/不公
- 蓄力期：默默积蓄力量
- 小爆发：初步反击/小胜利
- 再压抑：更大的挑战出现
- 大爆发：全面逆袭/终极胜利
情绪节奏控制：
- 不能一直压抑（读者弃书）
- 不能一直爽（读者麻木）
- 抑扬比例：3:7（30%压抑，70%释放）
- 压抑时间不超过3章
沉浸感增强技术
感官细节：
- 触觉：温度、质感、疼痛
- 听觉：声音、音乐、寂静
- 嗅觉：气味、空气、血腥
- 味觉：味道、口感
- 视觉：光影、色彩、动态
口语化表达：
- 内心独白用口语而非书面语
- 适当使用语气词（靠、哎、真是的）
- 短句+感叹增强情绪
细节锚定：
- 用具体细节代替抽象描述
- "他很痛" → "剧痛如刀绞，他咬紧牙关，指节发白"
- "她很美" → "她微微侧头，发丝从耳畔滑落，露出白皙的颈线"
Bundled Resources
references/index.md— 情绪工程索引references/empathy-triggers.md— 共情触发器详解references/expectation-management.md— 期待感管理references/emotion-curve.md— 情绪曲线工程references/immersion-techniques.md— 沉浸感增强技术
Checklist
- 情绪曲线设计合理（先抑后扬）
- 共情触发器运用得当
- 期待感建立-延迟-超越完整
- 感官细节丰富
- 口语化表达自然
- 情绪转折有铺垫
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.
- 9d ago First seen · 152 lines · 90 tokens per session scan A f26f19fbe092
novel-emotion is a skill published in the GitHub repository uu201/character-arc (555 stars, last pushed yesterday), licensed MIT. It adds 90 tokens to every session and 1,608 once invoked, about $0.0005 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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