short-drama-edit

short-drama-edit is a skill for Codex from zenstory-ai/drama-skills. It costs 69 tokens per session (3,066 once invoked), scanned A, original, MIT.

A short-drama editing workflow for turning already-produced shot files into a finished video. It chooses usable sections and order, preserves dialogue, adds subtitles, checks sound level, and renders the specified deliverables.

In plain words
What is it for?
Use it to assemble episode footage, set shot in and out points, arrange scenes, add subtitles, balance loudness, and export an editable project or finished video.
Why use it?
It addresses common problems in generated footage, such as unusable sections, broken dialogue, inconsistent joins, excessive length, and uneven audio.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it to assemble episode footage, set shot in and out points, arrange scenes, add subtitles, balance loudness, and export an editable project or finished video.

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Install with agentmods
npx agentmods add skills/zenstory-ai/drama-skills/short-drama-edit
About the project

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.

zenstory-ai/drama-skills · 1,798 stars · on GitHub · zenstory.ai

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 zenstory-ai/drama-skills --skill short-drama-edit
Clone the repo
git clone --depth 1 https://github.com/zenstory-ai/drama-skills

Made for: Codex.

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 short-drama-edit

README.md
[![agentmods](https://agentmods.dev/badge/skills/zenstory-ai/drama-skills/short-drama-edit/github.svg)](https://agentmods.dev/skills/zenstory-ai/drama-skills/short-drama-edit)
Your own site
<a href="https://agentmods.dev/skills/zenstory-ai/drama-skills/short-drama-edit"><img src="https://agentmods.dev/badge/skills/zenstory-ai/drama-skills/short-drama-edit/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/zenstory-ai/drama-skills/short-drama-edit"><img src="https://agentmods.dev/badge/skills/zenstory-ai/drama-skills/short-drama-edit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,066 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 original No closer match found 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 $0.00069 $0.03066
Opus 5 $0.00034 $0.01533
Sonnet 5 $0.00014 $0.00613
Haiku 4.5 $0.00007 $0.00307

Measured today against content hash 2e53700bceae, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

short-drama-edit 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 today.

The scan reads SKILL.md. This mod also ships 6 executable files (assets/remotion/remotion.config.ts, assets/remotion/src/font.ts, assets/remotion/src/index.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

Copies of this mod

1 near-identical copy found in the catalogue:

skills/short-drama-edit/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

短剧剪辑与成片

剧集/<EP>/制作成果/ 里的逐镜素材装配成一条成片,取舍写进 剧集/<EP>/剪辑单.md。 每段使用二级标题 ## CUT-...,各自绑定一个 MOTION-... 和一个真实媒体文件。

根据实际素材选择可用片段,按剧本与分镜核对叙事。素材与意图不一致时,记录取舍和缺口。

Quick Start

用 $short-drama-edit 把 EP001 已生产的镜头剪成成片

入口

进入条件是素材已经存在且可读剧集/<EP>/制作成果/ 里有本次要用的视频文件。 提示词写完、job 确认过、adapter 返回成功,都不等于素材可用;本阶段只认当前能打开的文件字节。

素材不全时可以先剪已有连续段落;用户要求完整成片时,将这一版标为片段并列出缺口。 在「未采用镜头」说明缺文件、质量不可用或叙事取舍。

剧集/<EP>/分镜.md视频提示词.md 是镜序和职责的来源。剪辑可以取舍它们,不能改写 它们:删一镜、缩一镜、换顺序都属于本阶段;改台词、改镜头职责、改起终状态要回上游发修订请求。

内置渲染直接拼接编码后的分段,输入素材的画幅与帧率须一致。check 在可探测媒体时核对; 不同规格先通过外部工具按交付要求统一,保留构图并记录裁切或留边,再更新剪辑单的路径与时间。

渲染与测量需要 ffmpeg / ffprobe 在 PATH 上。没有时 edit_tool.py 直接失败并说明, 不用别的手段近似,也不把「没测」写成「通过」。

工作流

  1. 逐段看完整素材,先标可用带,再谈剪辑。 每个文件从头到尾看一遍,写下它实际能用的时间 区间,以及区间之外发生了什么(起势静止、结尾漂移、发白、动作回弹、多余的重复表演)。 这一步的产出是事实,不是决定。做法见 生成素材的可用带
  2. 有台词的镜先定位发声区间。 保留完整字音和所需停顿。内置工具同步切画面与声音; 需要在连续对白上换画面时,使用外部剪辑工具分开处理。
  3. 在可用区间内选叙事入出点。 按动作、反应或停顿的需要选择入点,出点取信息完成之后、缺陷 开始之前。逐段写清入点理由和出点理由。做法见 入出点与镜序
  4. 排镜序并检查相邻关系。 检查动作、空间、揭示与声音是否连贯;重复信息没有新增作用时再删。
  5. 比较相邻段的画面。 按同场景、同光态比较可比区域;有可见偏差时在对应段写 画面。 做法见 接镜与色彩一致性
  6. 处理声音接缝与响度。 拼接后回听;需要混音时通过外部工具执行并记录。 做法见 声音、字幕与音乐
  7. 写字幕。 字幕的每一个字都取自 剧本.md 的台词原文,不取自转写结果;标点可按字幕惯例调整, 字不能改。转写只用来定位时间。
  8. 写出 剪辑单.md,再渲染。 先有文档后有成片:文档是可审查、可修订、可复现的那一份, 成片是它的产物。
  9. 按可测项验收成片,再交付。交付与验收

剪辑单要求

  • 正文开头写交付规格:成片目标时长画幅与帧率交付响度字幕。目标时长是意图, 实际时长与目标的差写在报告里。用户明确要求固定时长时,应满足要求或报告缺少的素材。

  • 每段一个 ## CUT-<EP>-<序号> · <中文名称>,块内逐行写:

    • - 来源:<MOTION-...> · <项目相对路径>——MOTION-... 必须是 视频提示词.md 里真实存在 的条目,路径必须是当前可读的文件。
    • - 入点:<秒> / - 出点:<秒> / - 时长:<秒>——三者必须自洽,出点 - 入点 == 时长。 全部用秒,保留两位小数,不写时间码,不写帧号。
    • - 取舍:入点=<理由>;出点=<理由>——理由写画面上发生了什么,不写「节奏需要」。 理由应能对应实际素材与本镜叙事需要。
    • - 声音:<本段声音怎么处理>——记录保留原声或外部处理。此行不驱动内置 render 的混音。
    • - 画面:<接镜校正>- 画面:无——只在这一段与相邻段明显对不上时写, 格式是「亮度 <数>」「饱和 <数>」「色温 <数>」三项的任意组合,用 分隔。 详见 接镜与色彩一致性
    • - 字幕:<逐字台词原文>- 字幕:无。本段有多句台词时改用编号写法, 每句自带时间:- 字幕 1:0.20-1.50 请进- 字幕 2:2.30-4.30 门没有锁。 编号从 1 连续,时间相对本 CUT 入点,且不得重叠。
  • 素材里没有被采用的镜头,在正文开头写一行 - 未采用镜头:<MOTION-...>(理由:……), 多项用 连接。理由区分两类:文件缺失(还没生产 / 生产失败)和质量不可用 (生成结果不能用),也可说明叙事取舍。补素材前先判断需要重出还是修订上游。

  • 同一个 MOTION-... 可以拆成多个 CUT-...(同一段素材的两处分别使用),也可以整段不用。 不能凭空出现没有素材来源的 CUT-...

  • 一段素材被用两次时,两个 CUT-... 的区间不得重叠:同一批帧在成片里出现两次是重复镜头, 不是复用。确需重复出现(闪回、强调)时写明它是有意重复,并说明第二次为什么仍然成立。

Read the full file on GitHub · 147 lines

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. today Changed · -2 lines · -73 tokens per session 2e53700bceae
  2. yesterday First seen · 149 lines · 142 tokens per session scan A ff27a30ed5fd

Subscribe to this mod's changes

short-drama-edit is a skill published in the GitHub repository zenstory-ai/drama-skills (1,798 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 3,066 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 2026-09-10.

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