video-production

video-production is a skill for Codex from yutianxiao6/openreel-studio. It costs 79 tokens per session (2,542 once invoked), scanned A, original, MIT.

A reusable OpenReel Studio workflow for turning a story and target duration into a short drama video.

In plain words
What is it for?
Use it for default short-drama production or to modify parts of that workflow, with support for storyboard or story-template planning.
Why use it?
It provides a defined sequence for planning episodes, writing scripts, preparing characters and scenes, creating storyboards, and generating video.

Skill for Codex

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

Good fit Use it for default short-drama production or to modify parts of that workflow, with support for storyboard or story-template planning.

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Install with agentmods
npx agentmods add skills/yutianxiao6/openreel-studio/video-production
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 yutianxiao6/openreel-studio --skill video-production
Clone the repo
git clone --depth 1 https://github.com/yutianxiao6/openreel-studio

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 video-production

README.md
[![agentmods](https://agentmods.dev/badge/skills/yutianxiao6/openreel-studio/video-production/github.svg)](https://agentmods.dev/skills/yutianxiao6/openreel-studio/video-production)
Your own site
<a href="https://agentmods.dev/skills/yutianxiao6/openreel-studio/video-production"><img src="https://agentmods.dev/badge/skills/yutianxiao6/openreel-studio/video-production/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-production

Your own site · 80×15
<a href="https://agentmods.dev/skills/yutianxiao6/openreel-studio/video-production"><img src="https://agentmods.dev/badge/skills/yutianxiao6/openreel-studio/video-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,542 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 $0.00079 $0.02542
Opus 5 $0.00039 $0.01271
Sonnet 5 $0.00016 $0.00508
Haiku 4.5 $0.00008 $0.00254

Measured 12d ago against content hash 828e3f38142f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

video-production 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.

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.

apps/api/app/skills/video-production/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

视频制作入口指南

模型摘要

  • video-production 由自动 Skill 目录匹配,通过 skills.list / skills.read 读取;它不是 workflow 模板或 spec 来源,只提供视频制作入口规则和模块 Skill 索引。
  • 普通“制作视频/短剧/文生视频”默认使用模板 general_short_drama_workflow(显示名“通用视频制作工作流”),通过 tool.searchtool.describetool.execute 调用 deferred workflow.run_stepworkflow.run_nextworkflow.run_all
  • 工作流请求通过 workflow_spec 选择器返回现有模板引用;默认路径返回 general_short_drama_workflow,不重新生成 spec。
  • 默认视频运行模式只使用现有模板引用、补齐输入并运行 workflow。
  • 用户主动要求查询或选择模板时,优先委派 workflow_spec 选择器;只在需要展示列表时读取 workflow 模板目录。
  • 运行前补齐阻塞输入:剧情/主题 plot、单集总时长 duration_seconds;可选输入是视觉风格 style、视频类型 video_type、画面制作模式 visual_plan_mode、集数 episode_count 和每段时长 segment_secondsvisual_plan_mode 默认 storyboard,用户可在前端改为 story_template
  • workflow spec 保持可移植,只描述结构、提示词、依赖和业务字段。模型、画幅、清晰度、画质等媒体产物参数由前端运行配置提供;总时长和分段时长必须连续核算,末段终点精确等于 duration_seconds
  • 模板里的 V2 逻辑步骤已经带 prompt;运行期编译成私有提示词阶段执行,不把完整 prompt skill 原文塞进主 Agent。
  • prompt 模块索引用于模板维护、局部改提示词或 standalone 节点:剧本 script-writing,人物图 character-prompt,场景图 scene-prompt,宫格分镜 shot-grid-prompt,视频提示词 video-prompt,故事模板图 story-template-method
  • 每个节点都是独立任务单元;task 只记录进度;生产依赖写节点 fields.references,图片引用用 role:"visual_reference",文字上下文用 role:"context",直接采用已有图片用 role:"source_image"
  • 最终 image/video prompt 提到参考图时,在每个对应语句中使用候选表给出的精确 @参考图标签,标签沿用完整画布标题并保留其中的 |、空格、书名号等字符,例如“人物沿用 @《回头》主角|15岁少年,镜头沿用 @宫格分镜图”。后端先把标签绑定到稳定的图片节点 ID,画布和数据库保留可读标签;节点运行时,再按实际媒体提交顺序把所有绑定位置临时替换为 图片1图片2,不在提示词开头追加映射表。
  • fields.director_capture=true 的图片是导演台构图参考,只继承人物/物体站位、朝向、姿态、比例、遮挡、景别和机位;正式分镜同时引用人物图与场景图重绘,不保留白模、色块、网格或编辑器外观,也不把构图参考自动当作视频首帧。
  • 当前轮通过 $video-production 或带精确 path 的结构化 Skill 引用显式选择时,正文会在模型调用前以 <skill> 块注入;否则先用 skills.list(authority={"kind":"orchestrator"}) 获取精确 handle,再用 skills.read 读取 main_resource,沿 next_cursor 到 EOF。引用资源继续使用同一 authority/package;skill:// 是 source locator,不是文件路径。
  • 只有用户要求诊断 UMA 视频调用、协议、target 或恢复行为时,再读取 references/video-model-calling.md

默认模板

默认模板:

template_id: general_short_drama_workflow
name: 通用视频制作工作流

Read the full file on GitHub · 136 lines

Files

What ships with it

2 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.

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 · 136 lines · 79 tokens per session scan A 828e3f38142f

Subscribe to this mod's changes

video-production is a skill published in the GitHub repository yutianxiao6/openreel-studio (29 stars, last pushed 26d ago), licensed MIT. It adds 79 tokens to every session and 2,542 once invoked, about $0.0004 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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