shuangdian

shuangdian is a skill for Claude Code from tance-mang/chinese-webnovel-skills. It costs 92 tokens per session (780 once invoked), scanned A, original, MIT.

A Chinese web-novel guide for designing satisfying reversals, comeback scenes, revenge, and moments when an underestimated character proves their strength. It structures these scenes around pressure, preparation, release, and spectators’ reactions.

In plain words
What is it for?
Use it to outline or strengthen humiliation-and-reversal scenes, hidden-strength reveals, revenge plots, and escalating victories in online fiction.
Why use it?
It helps fix stories that feel flat or repeat the same victory. It also gives each payoff a clear build-up and raises the scale of later confrontations.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the webnovel plugin — 33 skills shipped together

Good fit Use it to outline or strengthen humiliation-and-reversal scenes, hidden-strength reveals, revenge plots, and escalating victories in online fiction.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tance-mang/chinese-webnovel-skills/shuangdian
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 tance-mang/chinese-webnovel-skills --skill shuangdian
Clone the repo
git clone --depth 1 https://github.com/tance-mang/chinese-webnovel-skills

Made for: Claude Code.

Or install webnovel, the plugin that ships this one along with the rest of its 33 skills.

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 shuangdian

README.md
[![agentmods](https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/shuangdian/github.svg)](https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/shuangdian)
Your own site
<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/shuangdian"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/shuangdian/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 shuangdian

Your own site · 80×15
<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/shuangdian"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/shuangdian.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 780 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.
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 $0.00092 $0.00780
Opus 5 $0.00046 $0.00390
Sonnet 5 $0.00018 $0.00156
Haiku 4.5 $0.00009 $0.00078

Measured 12d ago against content hash a802c6c5a312, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

shuangdian 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 12d 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.

skills/shuangdian/SKILL.md · 61 lines

What it actually says

爽点设计(shuangdian)

"爽"是网文的核心商品。本技能负责设计和强化爽点桥段,尤其是打脸。

何时用

  • 设计打脸/装13/扮猪吃老虎/逆袭/复仇桥段
  • 剧情太平、读者说"不爽"
  • 一个爽点要写得更解气

三段式爽感闭环

任何爽点都遵循:

压抑 → 蓄势 → 释放
  • 压抑:把不公/嘲讽/危机写具体(越具体,释放越爽)
  • 蓄势:主角隐忍/布局/觉醒(番茄类 1–2 章内必释放,起点类可铺 3–5 章)
  • 释放:打脸/翻盘/碾压,把爽感外显写足

打脸四拍(最常用)

1. 嘲讽:反派/众人看不起主角,越嚣张越好
2. 沉默:主角不辩解,淡淡出手(蓄势的张力)
3. 碾压:实力/真相/反转一击致命
4. 围观:旁观者的震惊反应——这一拍最容易被新手漏掉,但最爽

爽点升级链(防疲劳)

同一种爽点不能原地重复,必须升级对象/规模/方式:

打脸同窗 → 打脸长辈 → 打脸宗门 → 打脸天才 → 打脸大势力 → 打脸天道

设计前先问:上一次同类爽点的"量级"是多少?这次要更高。

工作流

  1. 确认爽点类型(调 references/trope-library.md 的 23 个元素选型)
  2. 确认频道:男频重实力碾压,女频重情绪解气/体面打脸(调 references/channel-guide.md
  3. 按三段式 + 打脸四拍设计桥段
  4. 检查是否比同类前作升级了
  5. 输出桥段大纲或直接写片段

频道差异

  • 男频打脸:实力碾压、越级挑战、围观惊呼
  • 女频打脸:让瞧不起我的人后悔、体面解气、打白莲不掉价(作者素材库的宅斗场景)

输出

【爽点类型】
【压抑】具体的不公/嘲讽
【蓄势】主角怎么忍/怎么布局
【释放】打脸四拍逐拍
【升级】比上次同类爽在哪

下一步

桥段定了 → 用 expand 写成正文;整book爽点密度检查 → 用 review

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. 12d ago First seen · 61 lines · 92 tokens per session scan A a802c6c5a312

Subscribe to this mod's changes

shuangdian is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (58 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 780 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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