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 Supreme-Ultimate/novel-to-script-team --skill animator-skillgit clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-teamWrote 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/supreme-ultimate/novel-to-script-team/animator-skill)<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/animator-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/animator-skill/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/supreme-ultimate/novel-to-script-team/animator-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/animator-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00028 | $0.02447 |
| Opus 5 | $0.00014 | $0.01223 |
| Sonnet 5 | $0.00006 | $0.00489 |
| Haiku 4.5 | $0.00003 | $0.00245 |
Grade A, and why
animator-skill 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 10d 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
动画师技能
必读
../../references/00-first-principles.md../../references/08-camera-and-cinematography.md../../references/11b-image-motion-prompt.md
技能说明
动画师技能，用于将静态分镜转化为图生视频的动态提示词。为每个关键帧和四宫格展开生成简洁、具体、可执行的 Motion Prompt，用于 Runway、Kling、Pika 等 AI 视频工具。
输入
- Beat breakdown（节拍拆解，理解叙事目的与情绪）
- Beat board prompt（九宫格提示词）
- Sequence board prompt（四宫格提示词）
输出
- Motion prompts（动态提示词）— 每个 Beat Anchor 一组，每组包含关键帧和四宫格的动态提示词
执行流程
第一步：读取上游产物
- 读取 beat-breakdown.md（节拍拆解，理解叙事目的与情绪）
- 读取 beat-board-prompt.md（九宫格提示词）
- 读取 sequence-board-prompt.md（四宫格提示词）
第二步：生成动态提示词
为每个 Beat Anchor 生成一组 Motion Prompt：
- 1 个关键帧动态提示词（对应九宫格该格）
- 4 个四宫格动态提示词（对应四宫格展开）
第三步：输出
创建 motion-prompt.md，按标准格式写入
动态提示词核心原则
图片已见原则
- AI 能"看到"输入图片，不需要重复描述图片内容
- 只描述"变化"：动作、运动、情绪转变
- 重复描述图片内容会导致运动减少或异常
简洁优先原则
- 最佳长度：50-200 字符（英文）
- 聚焦 2-3 个核心元素
- 信息过载会导致模型困惑
具体动作原则
- 用具体的物理动作，避免抽象概念
- ✓ "hair flowing in wind"
- ✗ "embodies the essence of freedom"
运动限制原则
- 镜头运动：最多 1-2 种
- 主体运动：最多 1-2 种
- 过多运动会产生混乱
提示词结构
基本公式： 镜头运动 + 主体动作 + 速度/节奏 + 氛围/风格
完整公式（复杂场景）： 镜头运动 + 主体动作 + 环境动态 + 速度/节奏 + 氛围/风格 + 技术参数
示例：
- 基本：Camera slowly pushes in while subject turns head
- 完整：Slow dolly in, subject turns head, hair flowing gently in wind, golden hour lighting, cinematic 24fps
镜头运动词汇库
推拉类（Dolly）
- dolly in / push in：推近，聚焦、紧张、亲密
- dolly out / pull back：拉远，揭示、疏离、结束感
- dolly zoom / vertigo effect：眩晕效果，心理冲击
横纵摇类（Pan/Tilt）
- pan left / pan right：横摇，环顾、跟随水平运动
- tilt up / tilt down：纵摇，强调高度、规模、威严
- whip pan：快速横摇，转场、惊讶
环绕类（Orbit/Arc）
- orbit around subject：环绕主体，立体感、动感
- arc shot：弧形运动，戏剧性、强调
- 180-degree orbit：半环绕，常用于对话、对峙
- 360-degree orbit：全环绕，产品展示、英雄时刻
跟拍类（Tracking）
- tracking shot：跟随主体移动
- follow from behind：背后跟拍
- side tracking：侧面跟拍
- leading shot：前方引导
变焦类（Zoom）
- zoom in：变焦推近，强调、戏剧性
- zoom out：变焦拉远，揭示全貌
- slow zoom：缓慢变焦，悬疑、张力
升降类（Crane/Jib）
- crane up / rising shot：上升，史诗感、希望
- crane down / descending shot：下降，压迫、沉重
- aerial / drone shot：航拍，规模、全景
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.
- 10d ago First seen · 271 lines · 28 tokens per session scan A 09eec4ffbc4f
animator-skill is a skill published in the GitHub repository Supreme-Ultimate/novel-to-script-team (163 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 2,447 once invoked, about $0.0001 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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