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Annotate

skill-tance-mang-chinese-webnovel-skills-annotate · by tance-mang

中文网文正文标注与节奏可视化。当用户要在正文里标出钩子/爽点/高潮/打脸/伏笔的位置、看一章的节奏分布、检查爽点密度、或标记和建议修饰词(短平快爽文爱加的强化词)时使用。产出带标签的正文 + 节奏数据表,方便作者直观看数据。

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Install

$ agentstack add skill-tance-mang-chinese-webnovel-skills-annotate

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

正文标注与节奏可视化(annotate)

把一章正文"透视"出来:钩子在哪、爽点几个、高潮在第几段、修饰词够不够。让作者一眼看见自己的节奏数据

何时用

  • 想看"这章爽点够不够、钩子在哪、节奏对不对"
  • 标记/检查修饰词(短平快爽文的"味儿"词)
  • 给一章做发布前的可视化体检
  • review 的区别:review 是整卷/整书的宏观五维诊断;annotate单章逐段的微观标注

工作流

第 1 步:逐段标注(输出带标签的正文)

把用户的正文按段落标注,行内插入标签:

  • 【钩】 钩子(开篇钩/章尾钩/段落悬念)
  • 【爽】 爽点(逆袭/打脸/碾压等,调 references/trope-library.md
  • 【高潮】 本章情绪顶点
  • 【脸】 打脸桥段(标出四拍:嘲讽/沉默/碾压/围观)
  • 【伏】 伏笔埋点
  • 【修】 修饰词(标出已用的强化词/围观反应词,调 references/xiushi-ci.md
  • 【缓】 节奏舒缓段

第 2 步:输出节奏数据表

【本章体检表】
字数:____
钩子:开篇钩 ✓/✗ 章尾钩 ✓/✗ 段落悬念 __ 个
爽点:__ 个(类型:打脸/逆袭/…)|密度评价:达标/偏少(按平台)
高潮:在第 __ 段|情绪强度:__/5
打脸四拍:嘲讽__ 沉默__ 碾压__ 围观__(缺哪拍标出)
修饰词:强化词__ 围观反应__ |密度:合适/偏少/过载(油腻)
伏笔:埋__ 个 回收__ 个
节奏曲线:紧—缓—紧 是否有呼吸感
AI 味(粗判):比喻密度/连续同句式/句长波动 有无异常 → 要量化评分用 `aidetect`

第 3 步:给改进建议

  • 爽点断档的段 → 建议补什么(指到段)
  • 打脸缺了"围观"拍 → 建议加围观反应词(给 2-3 个候选,调 xiushi-ci.md
  • 修饰词偏少的爽点句 → 建议在哪句加什么词
  • 修饰词过载的段 → 建议删到 2-3 个(避免油腻/AI 味)
  • 章尾收尾平淡 → 建议换哪种章尾钩(调 hook-library.md

原则

  • 标注要落到段/句,不空泛。
  • 修饰词建议遵循"稀疏使用、峰值集中、频道有别"(见 references/xiushi-ci.md)。
  • 按平台判断密度:番茄要密,起点可疏(调 references/platform-profiles.md)。
  • 男频重"猛/爽/燃"的强化词与围观反应,女频重神态/情绪词。

下一步

按标注 → 用 expand 重写弱段、shuangdian 补打脸、deslop 清理过载修饰词;要 AI 味量化评分+定位 → aidetect

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.