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 jin-bo/agentao --skill zootopia-pptgit clone --depth 1 https://github.com/jin-bo/agentaoWrote 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/jin-bo/agentao/zootopia-ppt)<a href="https://agentmods.dev/skills/jin-bo/agentao/zootopia-ppt"><img src="https://agentmods.dev/badge/skills/jin-bo/agentao/zootopia-ppt/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/jin-bo/agentao/zootopia-ppt"><img src="https://agentmods.dev/badge/skills/jin-bo/agentao/zootopia-ppt.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 | $0.00152 | $0.09082 |
| Opus 5.5 | $0.00061 | $0.03633 |
| Sonnet 5.5 | $0.00030 | $0.01816 |
| Haiku 4.5 | $0.00015 | $0.00908 |
Grade A, and why
zootopia-ppt 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 1mo 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 — 500 lines — stays where its author put it; the contents beside it link to each section on GitHub.
拟人化动物世界 · 3D动画电影风格演示文稿制作指南
总体原则
- 以顶级3D动画电影的视觉语言（漫画分镜、拟人化动物角色、现代化都市场景）诠释演讲内容
- 每页图像须忠实传达该页的核心信息，角色与场景选择须服务于内容
- 全稿风格一致；情节重大转折时可切换配色基调
- 不要出现 血腥、暴力、武器 相关的 文字
- 画面要图文结合，可以用于现场演讲展示
版权合规：去标签化原则
严禁在提示词中使用任何受版权保护的作品名、角色名或专有名词，包括但不限于：
- ❌ Zootopia、疯狂动物城、Nick Wilde、Judy Hopps、尼克、朱迪、ZPD
- ❌ 任何迪士尼/皮克斯角色名或作品名
必须使用"物种 + 标志性服装 + 性格特征"的特征化描述替代角色名：
| 原角色 | 替代描述 |
|---|---|
| 朱迪/Judy | 灰兔：一只眼神坚定、充满使命感的拟人化灰色兔子，穿着深蓝色战术警察制服 |
| 尼克/Nick | 红狐狸：一只神情悠闲、带着狡黠微笑的拟人化红狐狸，穿着半正式的绿色夏威夷衬衫 |
| 牛局长/Bogo | 水牛局长：体型魁梧的非洲角水牛，穿着高级警官制服，神情严厉肃穆 |
| 羊副市长/Bellwether | 绵羊助理：体型娇小的拟人化绵羊，穿着职业裙装与开衫，戴红色粗框眼镜 |
| 狮市长/Lionheart | 狮子市政官：威严的拟人化雄狮，穿着精准剪裁的深蓝色商业西装 |
| 闪电/Flash | 树懒职员：浅褐色毛发的拟人化树懒，穿着职业衬衫，动作极度迟缓 |
| 豹警官/Clawhauser | 胖豹警官：体型圆润的拟人化猎豹，负责警署接待，性格热情开朗 |
| 鼩鼱大佬/Mr. Big | 鼩鼱大佬：体型极度娇小的拟人化北极鼩，神情冷峻，极具威严 |
| ZPD / 动物城警局 | 现代大都市警署 / 高科技指挥中心 / 高科技实验室 |
| 动物城 / Zootopia | 拟人化动物大都市 / 繁华的现代化动物都市 |
风格关键词用以下替代：
- ❌ "Zootopia 风格" → ✅ "顶级3D动画电影风格，拟人化动物世界（Anthropomorphic animal world），皮克斯/迪士尼风格渲染"
- ❌ "迪士尼动画风格" → ✅ "高水平3D动画电影质感，电影级布光，丰富的毛发细节"
Step 1：理解讲稿内容与受众
在生成任何提示词之前，先完整阅读用户提供的讲稿，提取：
| 维度 | 提取内容 |
|---|---|
| 主题 | 讲稿核心议题与关键论点 |
| 受众 | 面向谁（专业技术人员 / 高管 / 大众 / 学生） |
| 目的 | 说服 / 科普 / 汇报 / 品牌展示 |
| 情感基调 | 严肃权威 / 轻松幽默 / 激励人心 / 警示紧张 |
| 内容结构 | 页数、各页标题与核心要点 |
| 角色分配 | 确定哪些角色将承担哪些关键任务（根据其 Personality 设定） |
| 核心隐喻 | 为抽象概念（如 AI、安全、效率）寻找独特的视觉意象 |
1.1 情感旅程弧度
将全稿的情感变化画成一条弧线，例如：
封面（期待）→ 背景（忧虑/警觉）→ 问题（紧张）→ 解决方案（转折/希望）→ 总结（激励/信心）
每个情感节点对应的配色基调、角色状态和镜头语言都应与之呼应。相邻页面的情感跨度不宜过大，须有过渡。
1.2 每页核心视觉时刻
对每一页，提炼出一句话：「这一页最应该让观众感受到什么？」
示例：
- 封面：「这是一场高技术含量的安全战，主角已准备就绪」
- 威胁页：「危险已渗入城市每个角落，局势紧迫」
- 方案页：「有了这套工具，威胁是可以被击败的」
这句话决定了镜头选择、角色表情与构图重心，必须在写提示词前明确。不能用主题词代替（「讲人工智能安全」不是视觉时刻）。
Step 2：生成3D动画电影风格生图提示词
2.1 整体风格与角色设定（frontmatter style + characters 字段）
在 YAML frontmatter 中写入贯穿全稿的风格描述和角色设定。
style 字段 — 全局风格
style: |
以高水平3D动画电影风格创作漫画分镜。画风精致，美式动漫感，色彩饱满，线条清晰，具有强烈的视觉冲击力。
顶级3D动画电影质感，电影级布光，丰富的毛发细节。
画面图文并茂：页面标题以漫画手写字体或印刷标题栏方式融入画面，关键数据可作为全息屏幕/白板内容出现，文字须与视觉元素自然结合，不得孤立悬浮。
What ships with it
5 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.
- 1mo ago First seen · 500 lines · 152 tokens per session scan A 0bdb1fac74bb
zootopia-ppt is a skill published in the GitHub repository jin-bo/agentao (310 stars, last pushed 2d ago), licensed MIT. It adds 152 tokens to every session and 9,082 once invoked, about $0.0006 per session on Opus 5.5. 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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