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 huangrichao2020/pretty-skills --skill cinema-dna-21x9x3git clone --depth 1 https://github.com/huangrichao2020/pretty-skillsWrote 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/huangrichao2020/pretty-skills/cinema-dna-21x9x3)<a href="https://agentmods.dev/skills/huangrichao2020/pretty-skills/cinema-dna-21x9x3"><img src="https://agentmods.dev/badge/skills/huangrichao2020/pretty-skills/cinema-dna-21x9x3/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/huangrichao2020/pretty-skills/cinema-dna-21x9x3"><img src="https://agentmods.dev/badge/skills/huangrichao2020/pretty-skills/cinema-dna-21x9x3.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 | $0.00182 | $0.01118 |
| Opus 5.5 | $0.00073 | $0.00447 |
| Sonnet 5.5 | $0.00036 | $0.00224 |
| Haiku 4.5 | $0.00018 | $0.00112 |
Grade A, and why
cinema-dna-21x9x3电影感三联 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.
What it actually says
cinema-dna-21x9x3 电影感三联
一句话定位
电影感 = 镜头/光线/空间/叙事 4 个判断先成立，不堆提示词。3 张 21:9 横向 triptych 叙事图（建立世界/建立关系/留下余韵）+ 现场摄影 5+ 参数 + Anti-AI 纪律 + 光学缺陷。matrix_generate_image × 3 + PIL 拼接即可落地。
5 步核心工作流
| 步 | 动作 | 关键 |
|---|---|---|
| 1 | 任务分析 | 主题 / 类型 / 受众 / 3 镜头角色分配 |
| 2 | 镜头方案 | Shot 1 建立世界（24-28mm）→ Shot 2 建立关系（32-50mm）→ Shot 3 留下余韵（50-85mm） |
| 3 | 光线 + 色彩脚本 | 选胶片介质（35mm/16mm/VHS/MiniDV 等 7 选 1）+ 光源 + 色彩身体 |
| 4 | 空间组织 | 5+ 摄影参数（焦段/机位/距离/比例/遮挡/空间轴/光源/焦点/视线/信息位置） |
| 5 | 输出完整 prompt + matrix_generate_image × 3 + PIL 拼接 | Triptych 比例 1.25:0.9:0.85（强调首镜头）+ 8px 黑色间隔 |
与同类方法对比
| 维度 | 普通 AI 配图 | cinema-dna | scroll-world | dashiai-ppt |
|---|---|---|---|---|
| 输出形式 | 1 张竖图 + AI 套词 | 3 张 21:9 横向叙事 | 2N-1 段视频 | 22 幕讲解 |
| 核心 | "电影感滤镜" | 镜头成立的原因 | seam frame-identical | 横屏适配 |
| 工具 | matrix_generate_image | matrix_generate_image × 3 + PIL | matrix_gen_videos + ffmpeg | matrix_generate_image + PIL |
| 适用 | 配图随手出 | 高级感主题 | 品牌沉浸 landing | 演讲/汇报 |
| 不适用 | 高品质场景 | 纯科普/数据/长文 | 静态图 | 视频/动画 |
详细文档
content.md· 9 段深度方法论（建立世界/建立关系/留下余韵/现场摄影/Anti-AI/光学缺陷/Triptych 节奏/导演转译/Mavis 适配/工具对比）images/· 15 张 cinema-dna 自带 example + 1 张 triptych 示范prompts/· 9 段出图 prompt（含 triptych 拼接示意）cinema-dna-21x9x3电影感三联讲解.pdf· PDF 讲解版锦绣/· 3 张 triptych example + cover + 融合 md
关键参考
- 原项目：dacnay816y62-hub/cinema-dna-21x9x3 · 39 stars
- SKILL.md 771 行（含 v3/v4 全部硬规则 + 14 张 example + 2 份 references）
- 14 张 triptych example（hotel-pink-ritual / venice-palace / journey-west / 等）
沉淀版本
v1.0 · 2026-07-22
What ships with it
39 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.
- cinema-dna-21x9x3电影感三联讲解.pdf 667 KB
- content.md 9.3 KB
- images/blue-sea-large-ship-triptych.png 9156 KB
- images/cabaret-aftermath-triptych.png 5402 KB
- images/courthouse-witness-triptych.png 5050 KB
- images/dumpling-shop-triptych.png 5760 KB
- images/eastern-palace-triptych.png 6204 KB
- images/examples/absurd-comedy-triptych.png 6940 KB
- images/examples/army-fisheye-first-person-triptych.png 9533 KB
- images/examples/blue-sea-large-ship-triptych.png 9156 KB
- images/examples/example-journey.png 6440 KB
- images/examples/example-venice.jpg 1812 KB
- images/examples/go-shadow-ink-triptych.png 5431 KB
- images/examples/green-girl-wide-aperture-triptych.png 6822 KB
- images/examples/industrial-ensemble-ledger-triptych.png 5795 KB
- images/examples/triptych-demo.png 18 KB
- images/examples/warm-narrative-overview.png 2172 KB
- images/green-water-memory-triptych.png 8146 KB
- images/hotel-pink-ritual-triptych.png 2250 KB
- images/journey-west-original-epic-triptych.png 6440 KB
- images/venice-palace-triptych.png 1812 KB
- manifest.json 2.0 KB
- prompts/p0_cover.md 1.1 KB
- prompts/p1.md 1.4 KB
- prompts/p2.md 1.5 KB
- prompts/p3.md 1.4 KB
- prompts/p4.md 1.5 KB
- prompts/p5.md 1.5 KB
- prompts/p6.md 1.6 KB
- prompts/p7.md 1.9 KB
- prompts/p8.md 3.0 KB
- prompts/README.md 1.0 KB
- README.md 4.5 KB
- 锦绣/cover-横屏.jpg 163 KB
- 锦绣/cover-竖屏.jpg 207 KB
- 锦绣/readme.md 2.9 KB
- 锦绣/slides/slide-1.jpg 2250 KB
- 锦绣/slides/slide-2.jpg 1812 KB
- 锦绣/slides/slide-3.jpg 6440 KB
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 · 65 lines · 182 tokens per session scan A 875115288bbb
cinema-dna-21x9x3电影感三联 is a skill published in the GitHub repository huangrichao2020/pretty-skills (54 stars, last pushed 1mo ago), licensed MIT. It adds 182 tokens to every session and 1,118 once invoked, about $0.0007 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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