novel-pleasure-points

novel-pleasure-points is a skill for Claude Code, Codex from uu201/character-arc. It costs 82 tokens per session (2,065 once invoked), scanned A, original, MIT.

A Chinese-language reference for designing satisfying moments in online fiction, such as reversals, comebacks, power reveals, and revenge scenes. It also covers pacing and reducing reader fatigue from using the same pattern too often.

In plain words
What is it for?
Use it to plan comeback scenes, humiliating reversals, hidden-identity reveals, special powers, strategic victories, relationship conflicts, and the timing of these moments.
Why use it?
It helps writers choose and space high-impact story moments so the excitement does not become repetitive.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions OpenCode.

Good fit Use it to plan comeback scenes, humiliating reversals, hidden-identity reveals, special powers, strategic victories, relationship conflicts, and the timing of these moments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uu201/character-arc/novel-pleasure-points
Install

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.

Any agent
npx skills add uu201/character-arc --skill novel-pleasure-points
Clone the repo
git clone --depth 1 https://github.com/uu201/character-arc

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for novel-pleasure-points

README.md
[![agentmods](https://agentmods.dev/badge/skills/uu201/character-arc/novel-pleasure-points/github.svg)](https://agentmods.dev/skills/uu201/character-arc/novel-pleasure-points)
Your own site
<a href="https://agentmods.dev/skills/uu201/character-arc/novel-pleasure-points"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-pleasure-points/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.

agentmods 80×15 button for novel-pleasure-points

Your own site · 80×15
<a href="https://agentmods.dev/skills/uu201/character-arc/novel-pleasure-points"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-pleasure-points.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,065 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00082 $0.02065
Opus 5 $0.00041 $0.01033
Sonnet 5 $0.00016 $0.00413
Haiku 4.5 $0.00008 $0.00206

Measured 10d ago against content hash 5c5e47c1966d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

novel-pleasure-points 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.

resources/skills/Distilled-Novel-Toolbox/novel-pleasure-points/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

爽点模式大全与疲劳管理

Purpose

提供60+种网文爽点模式的完整库,包含每种模式的心理机制、结构模板、量化参数与经典范例,以及爽点疲劳管理与密度控制策略。

When to Use

  • 用户需要设计爽感桥段或打脸场景
  • 用户需要选择合适的爽点模式
  • 用户需要控制爽点密度与节奏
  • 用户担心读者审美疲劳

Instructions

爽点模式分类体系

一、实力碾压类
  1. 扮猪吃虎:隐藏实力→被轻视→展露实力→碾压反转。心理机制:期待感积累+释放
  2. 装逼打脸:主动展示→质疑嘲讽→实力证明→打脸反转。心理机制:优越感+正义感
  3. 越级反杀:以弱对强→绝境翻盘→超越极限。心理机制:逆袭快感+不可能变可能
  4. 科技碾压:高维科技vs低维文明→降维打击。心理机制:文明优越感
  5. 信息差碾压:掌握关键信息→对手不知→利用信息差取胜。心理机制:智力优越感
  6. 国术无敌:武道极致→一力降十会→拳拳到肉。心理机制:力量崇拜
二、身份反转类
  1. 身份觉醒:隐藏身份揭露→众人震惊→态度反转。心理机制:认知颠覆快感
  2. 赘婿逆袭:入赘受辱→身份揭露→全面碾压。心理机制:忍辱负重后的释放
  3. 兵王回归:退役隐居→被迫出手→王者归来。心理机制:英雄归来情结
  4. 神医下山:绝世医术→治病救人→权贵折服。心理机制:技能崇拜
  5. 废柴逆袭:天赋被夺/废物→奇遇金手指→逐步崛起。心理机制:从谷底攀升的满足感
  6. 退婚流:被退婚受辱→崛起→对方后悔。心理机制:被否定后的证明
三、智慧谋略类
  1. 智商碾压:布局算计→对手入彀→真相揭露。心理机制:智力优越感
  2. 幕后黑手:暗中操控→局势按计划发展→身份揭露。心理机制:掌控感
  3. 迪化流/误解向:行为被过度解读→他人脑补→效果超预期。心理机制:误解喜剧
四、稳健成长类
  1. 稳健流/苟道:低调发育→避免风险→厚积薄发。心理机制:安全感+延迟满足
  2. 签到/躺赢:签到获奖励→轻松变强→不劳而获。心理机制:懒人爽感
  3. 经营致富:从零开始→商业经营→财富积累。心理机制:建设成就感
五、情感关系类
  1. 后宫/修罗场:多女性角色围绕→争风吃醋→主角周旋。心理机制:被需求感
  2. 万人迷/团宠:众人喜爱→被宠溺→集万千宠爱。心理机制:被爱需求
  3. 虐渣复仇:被伤害→积蓄力量→复仇打脸。心理机制:正义感+报复快感
  4. 反差萌:外表/身份与内在反差→意外发现→萌点爆发。心理机制:认知反差愉悦
六、特殊机制类
  1. 爆兵平推:数量碾压→以量取胜→横推一切。心理机制:绝对力量感
  2. 第四天灾/玩家流:玩家涌入→混乱创造→不可预测。心理机制:混沌乐趣
  3. 答题流:知识问答→答对奖励→知识就是力量。心理机制:知识优越感
  4. 玄学天机:算命/风水→预言成真→众人敬畏。心理机制:神秘力量崇拜
  5. 直播崇拜:直播展示→观众震惊→打赏崇拜。心理机制:被关注快感
  6. 气运流:气运加身→机缘不断→天命所归。心理机制:命运眷顾感
  7. 献祭流:付出代价→获得力量→代价换实力。心理机制:等价交换的仪式感
  8. 归隐流:巅峰归隐→平凡生活→被迫出山。心理机制:大隐隐于市的浪漫

爽点结构模板

三段式爽点结构(最通用):

  1. 铺垫期(30%):建立对手的嚣张/主角的困境
  2. 爆发期(50%):反转/打脸/实力展现
  3. 余韵期(20%):众人反应/后续影响/主角淡然

递进式爽点链: 小爽点→中爽点→大爽点→超爽点,每个爽点比上一个提升一个量级

循环式爽点: 铺垫→爆发→短暂平静→新铺垫→更大爆发

爽点密度控制

平台 建议爽点密度 小爽点间隔 大爽点间隔
飞卢 极高 500字 2000字
番茄 800字 3000字
起点 中高 1500字 5000字
晋江 2000字 8000字

爽点疲劳管理

  1. 类型轮换:不同爽点模式交替使用,避免连续同类型
  2. 强度波动:高低起伏,不能一直高潮
  3. 情感穿插:爽点之间插入温情/搞笑/悬疑
  4. 升级递进:爽点规模随剧情升级,避免同水平重复
  5. 意外元素:偶尔打破读者预期,制造惊喜

Read the full file on GitHub · 142 lines

Changes

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.

  1. 10d ago First seen · 142 lines · 82 tokens per session scan A 5c5e47c1966d

Subscribe to this mod's changes

novel-pleasure-points 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 2,065 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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