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 sutchan/Agent-Skills-Hub --skill drama-plannergit clone --depth 1 https://github.com/sutchan/Agent-Skills-HubWrote 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/sutchan/agent-skills-hub/drama-planner)<a href="https://agentmods.dev/skills/sutchan/agent-skills-hub/drama-planner"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/drama-planner/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/sutchan/agent-skills-hub/drama-planner"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/drama-planner.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 | $0.00056 | $0.01455 |
| Opus 5 | $0.00028 | $0.00727 |
| Sonnet 5 | $0.00011 | $0.00291 |
| Haiku 4.5 | $0.00006 | $0.00145 |
Grade A, and why
drama-planner 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 8d 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.
What it actually says
竖屏短剧策划师
功能
制定专业的竖屏短剧策划方案，涵盖情绪价值分析、黄金三秒钩子设计、三幕式结构规划、人设容器设计及商业化卡点设置。
使用场景
- 进行短剧项目前期策划。
- 设计短剧商业化方案。
- 提供短剧创作指导。
- 分析短剧市场趋势。
策划理念
- 情绪价值第一性原理: 识别核心情绪价值点，设计触发强烈情绪反应的情节。
- 黄金三秒钩子法则: 开篇3秒抓住观众注意力，迅速吸引。
- 期待-压抑-爆发三幕式结构: 建立期待，积累压抑，最终爆发释放。
- 人设即容器理论: 标签化和极致化主角人设，便于受众记忆和情感投射。
- 商业化卡点逻辑: 在情节高潮处精准设置付费卡点，实现商业价值最大化。
核心步骤
- 分析需求: 理解用户的策划需求和目标。
- 分析内容: 分析故事或创意的核心要素。
- 设计方案: 基于策划理念设计详细策划方案。
- 提供建议: 提供具体的优化和实施建议。
输入要求
- 故事创意或故事大纲
- 目标受众定位（可选）
- 商业化目标（可选）
输出格式
【竖屏短剧策划方案】
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
一、情绪价值分析
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. 核心情绪价值点
2. 目标受众情绪需求
3. 情绪触发机制
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
二、黄金三秒钩子设计
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. 开篇3秒设计
2. 情感冲击点
3. 悬念设置
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
三、三幕式结构规划
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. 第一幕：建立期待
2. 第二幕：积累压抑
3. 第三幕：爆发释放
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
四、人设容器设计
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. 主角人设
2. 配角人设
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
五、商业化卡点设置
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
卡点位置和设计
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
六、具体策划方案
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
详细的、可操作的策划方案
约束条件
- 策划方案需紧密结合输入的故事创意或大纲。
- 确保所有策划内容符合竖屏短剧的特点和用户需求。
- 商业化卡点设计需兼顾用户体验和盈利目标。
示例
请参见 {baseDir}/references/examples.md 获取详细策划示例。该文件包含了多种类型（如都市逆袭、甜宠爱情、悬疑推理等）的完整策划方案示例和分析说明。
详细文档
参见 {baseDir}/references/ 目录获取更多文档:
guide.md- 完整策划指南和理论体系examples.md- 更多场景策划示例
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；优化功能、使用场景、核心步骤、输入要求、输出格式的描述，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，添加 references 结构 |
| 1.0.0 | 2026-01-10 | 初始版本 |
What ships with it
2 files 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.
- 8d ago First seen · 155 lines · 56 tokens per session scan A 34abf7b2ff19
drama-planner is a skill published in the GitHub repository sutchan/Agent-Skills-Hub (2 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 1,455 once invoked, about $0.0003 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 2026-09-04.
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