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 yutianxiao6/openreel-studio --skill general-short-drama-workflowgit clone --depth 1 https://github.com/yutianxiao6/openreel-studioWrote 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/yutianxiao6/openreel-studio/general-short-drama-workflow)<a href="https://agentmods.dev/skills/yutianxiao6/openreel-studio/general-short-drama-workflow"><img src="https://agentmods.dev/badge/skills/yutianxiao6/openreel-studio/general-short-drama-workflow/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/yutianxiao6/openreel-studio/general-short-drama-workflow"><img src="https://agentmods.dev/badge/skills/yutianxiao6/openreel-studio/general-short-drama-workflow.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 | $0.00075 | $0.01925 |
| Opus 5 | $0.00037 | $0.00962 |
| Sonnet 5 | $0.00015 | $0.00385 |
| Haiku 4.5 | $0.00007 | $0.00193 |
Grade A, and why
general-short-drama-workflow 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
通用视频制作工作流
用途
这是内置默认视频制作模板说明。用户没有指定自定义流程、指定模板或指定 workflow skill 时,优先复用模板 general_short_drama_workflow,中文名为“通用视频制作工作流”。
模板只保存 V2 可复用结构:输入字段、逻辑步骤、依赖、循环、uses 引用关系和每一步的 prompt 合同。本次剧情、剧本文字、人物描述、图片 prompt、视频 prompt 成品在运行实例中生成,不写死进模板。
执行时由主 Agent 填写或更新流程输入,再通过 tool.search、tool.describe 和 tool.execute 调用 deferred workflow.run_step、workflow.run_next 或 workflow.run_all。运行器按依赖执行各步骤;中间规划和集合整理保存在 workflow runtime,用户可见产物显示为画布节点。
输入字段
plot:故事主题、简要情节或完整剧本。style:视觉风格、时代质感、摄影质感和整体情绪。video_type:视频类型,例如短剧、电影短片、预告片、广告片。visual_plan_mode:画面制作模式,可选storyboard(宫格分镜)或story_template(故事模板),默认storyboard。episode_count:集数,默认 1。大于 1 时启用分集规划。duration_seconds:整支视频或单集目标时长,默认 15 秒。segment_seconds:每段目标时长,默认 15 秒;流程据此自动计算段数。
图片和视频的模型、比例、清晰度、画质等产物参数由前端运行配置提供,不写进可复用 workflow spec。前端默认画幅为 16:9,运行时通过独立 UI override 交给节点。剧本和制作规划必须让首段从 0 秒开始、相邻段首尾相接、末段精确结束于 duration_seconds,各段时长之和与总时长完全一致。
默认流程
公共流程:
inputs -> episode_plan? -> script -> production_plan -> character_images
每集每段流程:
production_plan.segments[] -> segment_script -> scene_plan -> scene_reference -> frame_plan
-> storyboard mode: (storyboard -> storyboard_review) feedback loop -> final_video
-> story_template mode: (story_template -> story_template_review) feedback loop -> final_video
episode_plan 只在多集时运行。分段数量由 duration_seconds / segment_seconds 向上取整得到。script 生成完整剧本正文;production_plan 输出统一风格、主要人物和逐段计划;每个 segment_script 再整理当前段独立正文。scene_plan 输出当前段场景与次要人物,frame_plan 根据动作复杂度决定镜头节拍数量。visual_plan_mode 是根输入条件,运行时只展开和执行匹配的视觉分支;未选择的分支不创建画布节点。用户可见文本由公开步骤的画布输出生成,图片和视频步骤会先运行私有提示词阶段。
可见产物
script:完整剧本和分段结构,显示在画布。segment_script:当前段剧本文本,按segment_id展开并显示在画布。character_image:主要人物参考图,按character_id展开并显示在画布。scene_reference:当前段场景参考图,显示在画布。storyboard:宫格分镜模式下的当前段宫格分镜图,显示在画布。story_template:故事模板模式下的当前段专业故事板设计图,显示在与宫格分镜对应的视觉产物位置。final_video/final_video_story_template:两条互斥分支的当前段最终视频节点。宫格分镜分支读取通过审核的storyboard;故事模板分支真实查看通过审核的story_template并逐格转译,不能另编模板图中不存在的内容。
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.
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.
- 12d ago First seen · 84 lines · 75 tokens per session scan A d6c6f14abfb6
general-short-drama-workflow is a skill published in the GitHub repository yutianxiao6/openreel-studio (29 stars, last pushed 26d ago), licensed MIT. It adds 75 tokens to every session and 1,925 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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