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 scene-promptgit 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/scene-prompt)<a href="https://agentmods.dev/skills/yutianxiao6/openreel-studio/scene-prompt"><img src="https://agentmods.dev/badge/skills/yutianxiao6/openreel-studio/scene-prompt/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/scene-prompt"><img src="https://agentmods.dev/badge/skills/yutianxiao6/openreel-studio/scene-prompt.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 | $0.00070 | $0.00856 |
| Opus 5 | $0.00035 | $0.00428 |
| Sonnet 5 | $0.00014 | $0.00171 |
| Haiku 4.5 | $0.00007 | $0.00086 |
Grade A, and why
scene-prompt 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.
What it actually says
场景图提示词 Skill
用于主场景 image 节点。场景图表达故事发生地点、空间结构、光线、材质和关键道具。输出写成纯文本 image prompt 正文，使用无人物场景四视图设定图写法。
写法
prompt 写成“无人物场景四视图设定图，2x2 四宫格，同一环境四个机位/角度”。四个画格共同表达同一地点。写入节点时直接生成正文，不保留模板占位符、字段说明、代码块或 JSON 包装。
- 全景建立镜头，展示空间规模、主体区域和风格基调。
- 入口或主方向视角，展示角色可能进入和行动的方向。
- 反向或侧向空间，展示空间连续性、遮挡和纵深。
- 道具细节或俯视布局，展示关键物件、路线和位置关系。
每个画格写清地点、空间结构、入口方向、行动路线、遮挡关系、关键道具、光线、材质、氛围和视觉风格。场景图作为环境参考，画面主体是环境和道具。
标准正文结构
无人物场景四视图设定图，2x2 四宫格，同一环境四个机位/角度，电影美术设定稿质感。
地点与空间：
{地点名称、时代背景、空间规模、功能区域、入口方向、角色可能行动路线、遮挡和纵深关系}。
画格一，全景建立镜头：
{展示空间规模、主体区域、主要光源、色调和整体风格基调}。
画格二，入口或主方向视角：
{展示角色进入方向、主要动线、门窗/通道/楼梯/街口等结构关系}。
画格三，反向或侧向空间：
{展示空间连续性、遮挡关系、纵深层次、背景结构和可复用构图点}。
画格四，道具细节或俯视布局：
{关键道具、桌面/武器/装置/标识/路线图/俯视布局，明确位置和材质}。
光线与材质：
{主光源、辅光、阴影、天气/烟尘/霓虹/火光等环境动态，墙面、地面、金属、木材、布料、玻璃等材质}。
画面要求：
无人物主体，空间结构清楚，道具位置明确，四个画格属于同一地点，服务后续分镜和视频镜头复用。
Standalone 节点推荐字段
以下字段只用于直接创建或更新 image 节点。Workflow Build Mode 只把用途、阶段和引用等业务字段写进 spec；模型、画幅、分辨率、宽高、画质和 fps 由前端运行配置提供。
fields.purpose:scene_referencefields.stage:visual_referencefields.aspect_ratio:16:9fields.resolution:2560x1440fields.quality:highfields.references: 本段故事或总剧本用context
检查点
- 四个画格属于同一个地点。
- 场景能支撑人物行动、分镜构图和视频镜头。
- 关键道具、光线和风格锚点清楚。
What ships with it
1 file 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 · 64 lines · 70 tokens per session scan A 76ecafe13b24
scene-prompt is a skill published in the GitHub repository yutianxiao6/openreel-studio (29 stars, last pushed 26d ago), licensed MIT. It adds 70 tokens to every session and 856 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 2026-08-30.
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