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 AgenticAIPlan/AgenticAISkills --skill drama-agentgit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/drama-agent)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/drama-agent"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/drama-agent/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/agenticaiplan/agenticaiskills/drama-agent"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/drama-agent.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 | $0.02568 |
| Opus 5 | $0.00028 | $0.01284 |
| Sonnet 5 | $0.00011 | $0.00514 |
| Haiku 4.5 | $0.00006 | $0.00257 |
Grade A, and why
drama-agent 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
短剧剧本生成 Agent
基于标准短剧创作流程的剧本生成系统，支持从选题到成稿的完整创作流程。
适用场景
当用户需要创作短剧剧本时使用本Skill，包括但不限于以下情况：
- 用户明确提出"创作短剧剧本"、"写一个短剧"
- 提到"古言"、"重生"、"复仇"、"言情"、"宫斗"、"现代"、"悬疑"等题材
- 要求指定集数的短剧
- 需要生成剧本大纲、人物小传、具体剧本内容
- 需要检查剧本一致性或质量
- 需要继续创作未完成的剧本
输入要求
最小必需输入
- 题材类型：如"古言重生复仇"、"现代言情"、"悬疑推理"等
- 核心梗概：故事起点或核心冲突（1-3句话）
可选输入
- 集数：默认80集，可根据需求调整
- 风格：如"紧张"、"轻松"、"虐心"、"甜宠"等
- 特殊要求：如"大团圆结局"、"双男主"、"全员恶人"等
- 平台：如"红果短剧"、"抖音短剧"、"爱奇艺短剧"等
执行步骤
Step 1: 需求确认
- 确认用户输入的题材、集数、风格、特殊要求
- 询问是否需要特定的人物设定或情节偏好
- 确认输出格式需求（详细剧本/大纲/逐集梗概）
Step 2: 剧本框架生成
根据确认的需求，生成剧本框架，包含：
1. 剧名
- 朗朗上口，符合平台调性
- 体现核心冲突或爽点
2. 类型与主题
- 明确题材类型
- 提炼核心主题
3. 人物小传 每个主要人物包含：
- 全名
- 年龄
- 身份/职业
- 性格特点（3-5个关键词）
- 背景故事（简短）
- 核心动机
- 与其他人物的关系
4. 情节结构 采用三幕式或四幕式结构：
- 开篇（前10集）：建立人物和冲突
- 发展（中段50-60集）：冲突升级，伏笔铺设
- 高潮（后10集）：冲突爆发，真相揭露
- 结局（后10集）：冲突解决，人物成长
5. 集数分配
- 每集标注核心事件
- 标记重要转折点
- 标注钩子设置位置
Step 3: 框架确认
将生成的框架展示给用户，等待确认后再继续。
Step 4: 详细场景生成
根据确认的框架，逐集或分批生成详细场景。
每集包含：
-
场次分配
- 格式：集数-场次（如 1-1, 1-2）
- 每集通常3-5个场次
-
基本信息
- 时间（日/夜）
- 场景类型（内景/外景）
- 地点
- 出场人物
-
场景内容
- 事件流程描述
- 钩子设置（悬念型、危机型、转折型等）
- 爽点/爆点/虐点设计
Step 5: 对白与细节完善
为每个场景添加：
-
对白
- 符合人物性格和说话风格
- 推动情节发展
- 暗示人物关系或动机
-
动作描写（用△标记）
- 描述人物动作
- 暗示情绪状态
-
心理活动（用OS标记）
- 人物内心想法
- 暗示隐藏动机
Step 6: 质量检查
完成每集剧本后，检查以下项目：
- 时间线是否一致
- 人物状态是否连续
- 剧情逻辑是否合理
- 每集是否至少包含爽点/爆点/虐点之一
- 格式是否符合规范
- 对白是否符合人物性格
- 是否设置了有效钩子
Step 7: 输出最终剧本
按照标准剧本格式输出。
输出要求
剧本格式规范
第X集
X-X
[时间]/[内景/外景] [地点]
[人物]
[场景描述]
△ [动作描写]
[人物]：[台词]
OS [心理活动]
【钩子：[钩子类型]——[钩子描述]】
格式说明
| 标记 | 含义 | 示例 |
|---|---|---|
| △ | 动作描写 | △ 他猛地站起来，狠狠拍了桌子 |
| OS | 心理活动 | OS（他到底想干什么？） |
| 【钩子：...】 | 钩子标注 | 【钩子：悬念型——他手中握着什么？】 |
质量要求
1. 每集核心要素
- 至少包含爽点、爆点或虐点之一
- 至少设置一个有效钩子
- 人物状态有合理变化
2. 爽点公式
装 + 打脸 + 震惊 + 收获
示例：主角展示隐藏能力 → 反派轻视被打脸 → 众人震惊 → 主角获得资源
3. 爆点设计
- 冲突升级，突破预期
- 反转剧情，改变局面
- 真相揭露，引发震撼
4. 虐点设计
- 人物遭遇困境
- 误解或背叛
- 失去重要的人或物
What ships with it
4 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.
- 10d ago First seen · 311 lines · 56 tokens per session scan A 25aed5a14094
drama-agent is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 2,568 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 2026-08-30.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.