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 GongLingRui/screen-creative-skills --skill story-summarizergit clone --depth 1 https://github.com/GongLingRui/screen-creative-skillsWrote 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/gonglingrui/screen-creative-skills/story-summarizer)<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/story-summarizer"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/story-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.
<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/story-summarizer"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/story-summarizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00040 | $0.00986 |
| Opus 5 | $0.00020 | $0.00493 |
| Sonnet 5 | $0.00008 | $0.00197 |
| Haiku 4.5 | $0.00004 | $0.00099 |
Grade A, and why
story-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.
This is a copy
77% identical to drama-evaluator — 153 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.
What it actually says
故事梗概生成专家
功能
基于故事文本内容提炼主要情节与要点，生成完整的故事梗概。
使用场景
- 快速了解故事主要内容和情节发展。
- 为剧本改编或影视开发提供故事梗概。
- 制作项目推介材料的故事简介。
- 为后续深入分析提供故事概览。
核心步骤
- 仔细阅读: 仔细阅读故事文本，理解整体内容。
- 主要情节识别: 识别故事的主要情节线。
- 要点提炼: 提炼故事的关键要点。
- 发展梳理: 梳理故事的发展过程。
- 梗概生成: 生成完整的故事梗概。
输入要求
- 故事文本: 完整的原始故事文本（小说、剧本、故事大纲等）。
- 文本长度建议: 300字以上。
输出格式
【故事梗概】
【故事背景】
[描述故事发生的背景、环境设定等]
【主要情节】
[描述故事的主要情节发展]
【故事发展】
[按时间顺序描述故事的发展过程]
【关键转折点】
[描述故事中的关键转折点和重要变化]
【故事结局】
[描述故事的结局和最终状态]
约束条件
- 梗概要简洁完整，通常200-500字。
- 严格按照故事原文内容总结，不自行创作。
- 保持情节的准确性和完整性。
- 包含故事的核心要素：人物、事件、冲突、结局。
示例
参见 {baseDir}/references/examples.md 目录获取更多详细示例:
examples.md- 包含不同类型故事（如爱情、职场、悬疑）的详细梗概示例。
详细文档
参见 {baseDir}/references/examples.md 获取关于故事梗概生成的详细指导与案例。
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、核心步骤、输入要求、输出格式、要求等描述，使其更符合命令式语言规范；添加约束条件、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 |
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.
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.
- 13d ago First seen · 113 lines · 40 tokens per session scan A a3d4186c3860
story-summarizer is a skill published in the GitHub repository GongLingRui/screen-creative-skills (402 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 986 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 77% identical to drama-evaluator, differing in 153 lines, and is treated as a copy.
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