video-script

video-script is a skill for Claude Code from zenstory-ai/video-recap-skills. It costs 309 tokens per session (5,303 once invoked), scanned A, a copy of video-script, 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 Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the video-recap-skills plugin — 7 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.

Or install video-recap-skills, the plugin that ships this one along with the rest of its 7 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 309 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,303 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 100% copy Near-identical to another mod 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 $0.00309 $0.05303
Opus 5.5 $0.00124 $0.02121
Sonnet 5.5 $0.00062 $0.01061
Haiku 4.5 $0.00031 $0.00530

Measured 12d ago against content hash 02f231df44d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 13 executable files (scripts/agent_text.py, scripts/deslop_qc.py, scripts/entry_suggestion.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

This is a copy

100% identical to video-script — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/video-script/SKILL.md · 272 lines

How it starts

The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.

1. 定位

只改宣发标题、封面、花字或回填外部文案时,直接读 references/promotional-copy.md, 按当前短片的观看理由和兑现位置处理指定文字层,不重做下述策划/旁白链。 普通解说写作不因此增加平台调研或包装任务。

本技能负责创作方向、画面与声音计划、旁白写作及校验。Agent 依次从以下五个角度作出决定:

  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,从不改写 Agent 的稿子:段落顺序、数量、时间、文本、停顿和扩展元数据原样保留,只依据现有声音证据回写实测的 overlaps_speech。文本装不下时间窗、段落未按时间排序等问题以 error 退回给 Agent 修改。

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。

1.1 创作控制模式

先根据用户要求和 work_dir 判断本轮创作控制模式。它与 full|cut|dub 渲染模式分别选择:

  • 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. 远程调用与数据外发

本技能只有一个脚本会联网:review.py(§7.1 的建议型语义评审)。其余全部在本地运行:validate.py 及其 lint、去 AI 味检查只读写 work_dir 里的文件,不发任何网络请求;策划与写稿由 Agent 直接读写 work_dir 完成。

review.py 发给谁:

  • MiMo 的 OpenAI 兼容 chat 接口 <MIMO_API_URL>/chat/completions,用 MIMO_API_KEY 认证,模型为 MIMO_MODEL(默认 mimo-v2.5)。未设 MIMO_API_URL 时,按量计费 key 发往 https://api.xiaomimimo.com/v1,tp- 开头的 Token Plan key 发往 MIMO_TOKEN_PLAN_CLUSTER 选定的 token-plan 集群(默认 https://token-plan-cn.xiaomimimo.com/v1)。
  • 未设 MIMO_API_KEY 时直接退出,不构造也不发送任何请求。

review.py 发送什么(只有文字,不发视频、帧图片或音频文件):

  • narration.json 全部旁白段的时间与文字。
  • 理解索引的文字证据:开头、中段、结尾、长空档与各旁白时间窗附近选出的时间段内,vlm_analysis.json 的场景描述与 frame_facts 文字,以及对白转写(有 asr_clean.json 时用它,否则 asr_result.json)。
  • background_research.json 的梗概、角色、关系与剧情线摘录。
  • 存在时附上 packaging_plan.json、recap_story_plan.json、visual_audio_board.json、style_card.json(各截前 3000 字)和 original_subtitles.json 的原声字幕文字。
  • 内容较长时分块,每块一次请求;返回的意见只写回本地 narration_review.json / narration_review.md。

何时运行、怎样关闭:

  • 单独使用本技能时,review.py 只在用户或 Agent 显式执行它时运行;不执行它就没有任何外发。用户不希望稿件离开本机时,不要运行它,改为人工复核后直接跑 validate.py。
  • 端到端编排默认在 TTS 前自动调用一次这项评审,失败不阻断;关闭方式是编排入口的 --no-review-narration 或环境变量 REVIEW_NARRATION=0。若同时开启了严格评审(--require-narration-review 或 REQUIRE_NARRATION_REVIEW=1),评审必须运行,关闭开关不生效。
  • 评审是建议型的:只写报告,从不改写 narration.json;是否修改由 Agent 或用户决定。

Read the full file on GitHub · 272 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 Changed 02f231df44d6
  2. 13d ago Changed · -9 lines 804b9ee0d539
  3. 23d ago Changed · +27 lines · +119 tokens per session 7ae12d12f77e
  4. 24d ago Changed · +3 lines 387b8e7f57c1
  5. 25d ago Changed · -1 lines 5c5e7a2da45c
  6. 1mo ago Changed · -3 lines bec6a27c499b
  7. 1mo ago Changed · +6 lines · +36 tokens per session 9db8f8d1764d
  8. 1mo 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 (592 stars, last pushed 7d ago), licensed MIT. It adds 309 tokens to every session and 5,303 once invoked, about $0.0012 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to video-script, differing in 0 lines, and is treated as a copy.

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