novel-summarizer

novel-summarizer is a skill for Claude Code from GongLingRui/screen-creative-skills. It costs 35 tokens per session (910 once invoked), scanned A, a copy of drama-evaluator, MIT.

A novel-summary guide that turns a full story into a clear 500–800-character outline written in the third person.

In plain words
What is it for?
Use it for initial novel screening, preparing a standard story outline, or creating a starting point for further writing.
Why use it?
It helps readers understand the main characters, relationships, events, and plot without reading the entire novel first.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; mentions Claude Code.

Good fit Use it for initial novel screening, preparing a standard story outline, or creating a starting point for further writing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gonglingrui/screen-creative-skills/novel-summarizer
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 GongLingRui/screen-creative-skills --skill novel-summarizer
Clone the repo
git clone --depth 1 https://github.com/GongLingRui/screen-creative-skills

Made for: Claude Code.

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-summarizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/novel-summarizer/github.svg)](https://agentmods.dev/skills/gonglingrui/screen-creative-skills/novel-summarizer)
Your own site
<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/novel-summarizer"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/novel-summarizer/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-summarizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/novel-summarizer"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/novel-summarizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 910 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 78% copy Near-identical to another mod 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 $0.00035 $0.00910
Opus 5 $0.00017 $0.00455
Sonnet 5 $0.00007 $0.00182
Haiku 4.5 $0.00003 $0.00091

Measured 13d ago against content hash 44a64f678580, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

novel-summarizer 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 13d 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.

Origin

This is a copy

78% identical to drama-evaluator — 146 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

category/novel-screening/novel-summarizer/SKILL.md · 94 lines

What it actually says

故事大纲生成专家(小说版)

功能

阅读理解故事文本,总结成流畅的故事大纲,字数控制在500-800字之间。

使用场景

  • 对小说文本进行初筛选,快速了解故事梗概。
  • 生成规范化的故事大纲,为后续创作提供基础。
  • 快速掌握故事的核心人物、关系、事件和情节。

核心能力

  • 准确总结: 准确总结故事文本中的人物、人物关系、人物行动与事件情节。
  • 叙事转换: 以第三人称视角进行准确总结。
  • 复杂关系处理: 理解并准确总结复杂的人物身份与人物关系。
  • 语言表达: 运用优美准确的语言总结故事梗概。

工作流程

  1. 深入阅读: 深入阅读故事文本,准确理解人物、人物关系与事件情节。
  2. 总结生成: 根据阅读内容,将故事文本总结为一篇行文流畅的故事大纲。

约束条件

  • 字数控制: 严格控制总结字数在500-800字之间。
  • 内容准确性: 严格按照文本原文总结,不进行自行创作或改编。
  • 格式要求: 直接输出总结文本内容,不带任何标题。

输出格式

直接输出流畅的文字总结故事大纲。

示例

参见 {baseDir}/references/examples.md 目录获取更多详细示例:

  • examples.md - 详细总结示例(都市爱情、古言、重生复仇等不同类型)

详细文档

参见 {baseDir}/references/examples.md 获取关于小说总结的详细指导与案例。


版本历史

版本 日期 变更
2.1.0 2026-01-11 优化 description 字段,使其更精简并符合命令式语言规范;添加 allowed-tools (Read) 和 model (opus) 字段;优化功能、使用场景、核心能力、工作流程、约束条件、输出格式的描述,使其更符合命令式语言规范;添加示例和详细文档部分。
2.0.0 2026-01-11 按官方规范重构
1.0.0 2026-01-10 初始版本
Files

What ships with it

1 file 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.

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. 13d ago First seen · 94 lines · 35 tokens per session scan A 44a64f678580

Subscribe to this mod's changes

novel-summarizer is a skill published in the GitHub repository GongLingRui/screen-creative-skills (402 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 910 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to drama-evaluator, differing in 146 lines, and is treated as a copy.

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