video-script

video-script is a skill for Claude Code, Codex from zenstory-ai/video-recap-skills. It costs 154 tokens per session (3,798 once invoked), scanned A, original, MIT.

A Chinese-language video editing and narration workflow that plans the story, selects clips, assigns visuals and sound, writes timestamped narration, and validates the result.

In plain words
What is it for?
Use it to create or revise recap story plans, clip plans, visual-and-audio plans, style cards, and checked narration files.
Why use it?
It helps coordinate the creative and technical decisions needed to make a narrated recap from an analysis of the source video.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the video-recap-skills plugin — 6 skills shipped together

Good fit Use it to create or revise recap story plans, clip plans, visual-and-audio plans, style cards, and checked narration files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zenstory-ai/video-recap-skills/video-script
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/video-recap-skills --skill video-script
Clone the repo
git clone --depth 1 https://github.com/zenstory-ai/video-recap-skills

Made for: Claude Code, Codex.

Or install video-recap-skills, the plugin that ships this one along with the rest of its 6 skills.

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 video-script

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

agentmods 80×15 button for video-script

Your own site · 80×15
<a href="https://agentmods.dev/skills/zenstory-ai/video-recap-skills/video-script"><img src="https://agentmods.dev/badge/skills/zenstory-ai/video-recap-skills/video-script.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,798 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00154 $0.03798
Opus 5 $0.00077 $0.01899
Sonnet 5 $0.00031 $0.00760
Haiku 4.5 $0.00015 $0.00380

Measured 12d ago against content hash 58d03a784e81, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

video-script 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 12d ago.

The scan reads SKILL.md. This mod also ships 17 executable files (scripts/agent_brief.py, scripts/agent_text.py, scripts/brief_context.py, …), 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/video-script/SKILL.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

1. 定位

本技能负责:创作方向、画面/声音计划、旁白写作与校验。Agent 不是 JSON 填写器,而要依次扮演:

  1. 导演
  2. 故事编辑
  3. 画面剪辑师
  4. 声音/旁白编辑
  5. 第一次观看的观众

Agent 先记录简洁决定,再写时间线产物。validate.py 负责对理解索引做机械校验;full 模式还会把旁白对齐到安静窗口。

下面的 scripts/... 均相对于本技能目录。若执行器从仓库根目录启动,请给脚本路径加上本技能的绝对目录。本技能不从其他技能目录读取参考文件或辅助脚本;外部输入只来自显式路径与 work_dir 产物。

1.1 创作控制模式

先根据用户要求和 work_dir 判断本轮模式;它不是 full|cut|dub 渲染模式:

  • CREATE:首次创作。比较至少两个真正可行的故事/剪辑假设后再选择。
  • DIRECTED:用户已指定结构、镜头、台词或表达。忠实落实,不为满足“创作流程”虚构替代方案。
  • REVISION:用户针对已有版本看片修改。最新反馈是当前事实来源;未点名部分默认冻结。

REVISION 先明确本轮修改项与冻结项,再编辑对应层:表达、口语节奏、字幕反馈更新 style_card.json;镜头、入出点、表演和声音分工更新 visual_audio_board.json;只有观众承诺、POV、主线或 beat 改变时才更新 recap_story_plan.json。被删除的镜头、原声或文案也要从相关计划中删除,不能保留过期锚点。不要把看片修改重新做成一次 CREATE。

2. 读取素材并确认状态

首先阅读:

  • work_dir/agent_narration_brief.md:场景、时长、安静窗口与字数预算。
  • asr_writing_chunks.json:长对白的写作分块。
  • timeline_fusion.json:判断某段是否有对白或静音槽。
  • vlm_analysis.json / asr_result.json:核对具体画面与原声证据。
  • brief 顶部列出的 contact sheet:不要只依赖场景摘要;反应、走位、静止和台词前后的具体时刻常常更重要。

full 模式使用原片时间。cut 模式第一阶段只写 clip_plan.jsonedited_source.mp4 产生后,第二阶段才按输出时间写 narration.json

写任何创作产物前,直接读取 work_dir 判断当前阶段:

  • recap_run_manifest.json:确认 edit_mode、源视频和本轮设置。
  • full 模式:没有 narration.json 时进入写稿;存在时先复核再校验。
  • cut 第一阶段:尚无 clip_plan_validated.json / edited_source.mp4,只写 clip_plan.json
  • cut 第二阶段:两者都存在,按 clip_plan_validated.json.clips[] 中的 source_start/endoutput_start/end 核对映射,再写输出时间的旁白。

必须确认旁白没有跨越错误剪辑边界,也没有落进已删除区间。整个判断只依赖 work_dir 产物。

3. 制定创作方案

先阅读 references/creative-editing-playbook.md,再按创作控制模式写或更新工作产物:

  1. recap_story_plan.json:导演意图、CREATE 中至少两个剪辑假设、选定的 POV / 主线,以及由“变化”定义的 beats。DIRECTED / REVISION 不强行新增假设。
  2. visual_audio_board.json:每拍的画面任务、具体表演/反应、入点/出点、audio_owner、原声锚点与 narration_job
  3. style_card.json(适用时):用户当前认可的声音、口语节奏、字幕阅读姿态和明确禁忌。收到表达或字幕反馈后更新原文件,而不是只改最终文案。

只记录决定、证据锚点、被放弃的备选方案和简短理由,不写冗长思维过程。

3.1 导演判断

锁定:

  • 观众承诺
  • POV
  • 戏剧问题
  • 起始与结束情绪
  • 隐瞒与揭示
  • 结尾余味

3.2 故事编辑

CREATE 比较两个真正可行的结构后选择一个;DIRECTED / REVISION 沿用用户指定或已确认的结构,除非最新反馈明确改变故事方向。每个 beat 至少改变一项:知识、权力、目标、关系、情绪或风险。若删除后因果、人物和情绪都没有损失,该 beat 通常不应保留。

Read the full file on GitHub · 249 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. 12d ago First seen · 249 lines · 154 tokens per session scan A 58d03a784e81

Subscribe to this mod's changes

video-script is a skill published in the GitHub repository zenstory-ai/video-recap-skills (505 stars, last pushed today), licensed MIT. It adds 154 tokens to every session and 3,798 once invoked, about $0.0008 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.

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