zenstory-ai/drama-skills is a collection of AI coding-agent skills for producing short dramas and animated stories from an idea or source material, covering scripts, visual assets, storyboards, and image, video, and audio prompts. It is intended for screenwriters, animation studios, and directors using Claude Code, Codex, or other agents that support the Agent Skill format. The catalogue skills are the project's own workflow for planning, reviewing, and producing these projects.
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 zenstory-ai/drama-skills --skill short-drama-assetsgit clone --depth 1 https://github.com/zenstory-ai/drama-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/zenstory-ai/drama-skills/short-drama-assets)<a href="https://agentmods.dev/skills/zenstory-ai/drama-skills/short-drama-assets"><img src="https://agentmods.dev/badge/skills/zenstory-ai/drama-skills/short-drama-assets/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/zenstory-ai/drama-skills/short-drama-assets"><img src="https://agentmods.dev/badge/skills/zenstory-ai/drama-skills/short-drama-assets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00099 | $0.01481 |
| Opus 5 | $0.00049 | $0.00740 |
| Sonnet 5 | $0.00020 | $0.00296 |
| Haiku 4.5 | $0.00010 | $0.00148 |
Grade A, and why
short-drama-assets 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- short-drama-assets — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
短剧资产拆解
把剧本文字变成可复用、可持续的视觉事实，统一写入 剧集/<EP>/视觉设定.md。不要把每次出场都
变成新资产，也不要抢写剧本语义、镜头走位或生成提示词。
Quick Start
用 $short-drama-assets 从 EP001 剧本拆完人物、造型、地点、道具和本集状态
入口与边界
现成剧本可以直接拆资产。先区分：
- 身份：换一个就不再是同一个人、地或物；
- 变体：身份不变，但服装、伤势、时段、天气、开合或持有状态改变；
- 镜头瞬态：姿势、视线、左右手、站位和相机角度，由分镜拥有；
- 故事语义：知识、目标、关系和情绪由写作/开发拥有，只引用可见后果。
工作流
- 只读当前范围的剧本和已决定的视觉方向。
- 逐场找实体、可见描述、状态变化和含混指代，先不创建资产。
- 对每项决定新建、复用、增加变体或标记未决；含混指代不猜。
- 写最小可识别设定：统一使用
识别锚点、本集状态和变化原因；会持续限制后续动作的身体—物件—空间关系写进有生效范围的状态，不当成一次姿势略过。 - 检查造型/伤势、持物/所有权、道具状态、地点时段/天气/光态与跨集 outgoing。
- 给跨镜出现且观众看得出不一致的可见事实写一条连续性锁，其余保持识别锚点即可。
- 项目提示词语言不是中文时，给每个人物条目写一行
画面代称：<正文里的拼写>；正文从不点名它就写画面代称：无。地点和道具按需。 - 整集请求自动处理完整集，末端一次回报关键身份决定和未决指代。
内容要求
- 每项先写什么不变使它仍是同一资产，再写本集变化。
- 识别锚点必须可见、可生成、可比较，不用空泛质量词替代事实。
- 服装、伤势、湿污、道具开合和光态通常是变体，不是新身份。
- 不复制剧情摘要，只保留下游生成、分镜或连续性真正需要的事实。
- 文字、标识和敏感信息遵守项目政策，不擅自补造品牌或私密信息。
- 多集状态写清生效与持续范围；镜头内瞬态留给分镜。
- 已确认且持续限制动作空间的关系（身体依托、固定、负重、占位或与功能物件的接触）不是普通镜头姿势：可独立识别的物件仍建资产，关系写进状态并交给分镜逐镜投影；只有剧本明确改变时才结束。
- 连续性锁只锁不随剧情改变的可见事实；锁面用提示词语言写成最小名词短语，会变的部分留给状态。
- 「画面代称」把提示词正文里的名字对回本条目：分镜的机械核对靠它判断关键帧里点名的人是谁。条目自身的中文名称
始终算一个代称，所以中文正文通常不必写这一行；提示词正文语言不是中文时，人物条目必须给出结论——写出正文使用的
拼写，或在正文从不点名它时写
画面代称：无。同一个名字全集只用一个拼写，大小写也一致（AST-10的同一条要求跨语言同样成立）； 多个写法用、分隔。名字与常用词同形（道具「手机」撞上「手机店」）时也写画面代称：无，让核对不按名字找它。
按需知识
默认只读本 SKILL、当前剧本和视觉方向。遇到对应问题时只打开一份：
- 阶段边界与规则分级：阶段契约
- 从剧本找真正的资产出现证据：出现提取
- 新身份、复用、变体或未决：身份与变体
- 人物识别与造型层次：人物与造型
- 地点地理、视图和固定锚点：地点与视图
- 功能道具、所有权、状态变化，或画面上的可读文字与标识：道具与状态
- 声音参考的身份与授权边界：声音方向
- 跨场、跨镜、跨集状态：连续性变化
- 跨镜服装/道具颜色、材质漂移：跨镜一致性锁
- 完成前做一次资产漏项检查：资产审查清单
完成
所有明确出场都已复用、新建、变体化或标为真实未决；需要保持的视觉事实与状态变化已写入唯一
视觉设定文档，即完成。图片提示词、分镜、审查和生产不自动开始。
五份创作文档齐备后，可转 $short-drama 对跨文档结构做一次机械核对；内容质量仍由创作者审查。
What ships with it
21 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.
- agents/openai.yaml 282 B
- assets/character-look.example.jsonl 2.8 KB
- assets/continuity.example.jsonl 3.4 KB
- assets/decisions.example.jsonl 4.0 KB
- assets/location-view.example.jsonl 1.9 KB
- assets/occurrences.example.jsonl 4.4 KB
- assets/prop-state.example.jsonl 1.8 KB
- examples/minimal/characters.jsonl 652 B
- examples/minimal/looks.jsonl 742 B
- references/asset-review-checklist.md 4.6 KB
- references/character-and-look.md 11 KB
- references/continuity-delta.md 7.2 KB
- references/continuity-lock.md 7.1 KB
- references/identity-vs-variant.md 7.7 KB
- references/location-and-view.md 3.9 KB
- references/occurrence-extraction.md 5.9 KB
- references/prop-and-state.md 6.8 KB
- references/stage-contract.md 4.0 KB
- references/voice-direction.md 9.6 KB
- scripts/asset_check.py 10 KB runs code
- scripts/selftest.py 3.1 KB runs code
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 Changed · +9 lines a8d3a4568b98
- 13d ago First seen · 68 lines · 99 tokens per session scan A d6b54f2838bd
short-drama-assets is a skill published in the GitHub repository zenstory-ai/drama-skills (1,798 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 1,481 once invoked, about $0.0005 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
cinematic-director
A prompt generator for image models that turns a scene description into an English cinematic photography prompt and a negative prompt, which lists details to avoid.
drama-skills
A collection of AI skills for creating short dramas and animated comics, from an idea or long source material to scripts and visual-production instructions. It covers episode scripts, story assets, image prompts, storyboard frames, and video prompts.
happiness-skill
A Chinese-language guide to happiness based on reducing unmet wants, focusing on the present, and treating happiness as a trainable skill.
aesthetic-audit
A commercial visual and user-experience review workflow for websites, product pages, landing pages, and visual assets. It examines clarity, hierarchy, spacing, typography, color, trust signals, conversion paths, and mobile behavior.
setup-matt-pocock-skills
A setup skill that configures engineering skills for a repository, including its issue tracker, labels, and documentation layout. A repository is the project folder managed by version control.
tapcanvas-prompt-specialists
A set of role and output rules for specialists that create image prompts, video prompts, and pacing reviews in TapCanvas. It explains what evidence to pass to each specialist and what results they should return.