seedance-2.0 is an agent-driven production pipeline for creating AI films from text, images, videos, and references, including audio and platform-specific workflows. Filmmakers and creators use it to plan scenes and generate coherent prompts for Seedance-related tools, while the catalogue contains skills from that workflow.
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 Emily2040/seedance-2.0 --skill seedance-examples-zhgit clone --depth 1 https://github.com/Emily2040/seedance-2.0Wrote 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/emily2040/seedance-2.0/seedance-examples-zh)<a href="https://agentmods.dev/skills/emily2040/seedance-2.0/seedance-examples-zh"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-examples-zh/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/emily2040/seedance-2.0/seedance-examples-zh"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-examples-zh.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 | $0.00044 | $0.01357 |
| Opus 5 | $0.00022 | $0.00678 |
| Sonnet 5 | $0.00009 | $0.00271 |
| Haiku 4.5 | $0.00004 | $0.00136 |
Grade A, and why
seedance-examples-zh 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 11d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- seedance-examples-zh — 86% identical, 16 lines differ
- seedance-examples-zh — 80% identical, 8 lines differ
- seedance-examples-zh — 80% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-examples-zh
Before producing prompt text, a prompt-ready block, a rewrite, an example, or a compiled clip, load the Director's Read, classify the brief, and complete its canonical narrative or non-narrative record. Translate that record into visible or audible carriers and keep its internal labels out of final generation prose.
Use examples as language-specific patterns, not content to copy blindly. They are not a language certification. Chinese prompts should stay compact, concrete, and production-oriented. Keep reference tags such as @Image1, @Video1, and @Audio1 unchanged. Apply multilingual language review for language-quality review and do not infer who wrote the material.
Intent
Some users learn by rule, but the ones who come here learn by seeing. The purpose of these examples is recognition - a working prompt close enough to their idea that they can feel the gap and close it themselves. An example that teaches is worth ten instructions.
Example Labels
| Label | Meaning |
|---|---|
safe |
Original concept, no protected identity. |
needs-owned-reference |
Requires user-owned, licensed, public-domain, or authorized asset. |
surface-specific |
Depends on the active web, API, or workflow surface. |
rewrite-required |
Mentions protected identity, brand, celebrity, exact scene, song, or voice. |
Safe Example Patterns
Product I2V: @Image1为产品参考,严格保持logo、标签、瓶身形状和颜色不变。镜头缓慢推进到标签特写;左侧暖光扫过玻璃,水珠沿瓶身下滑,背景保持暗色静止。声音:轻微环境声,结尾一声清脆玻璃音。
Character drama: 原创角色A站在狭窄走廊,缓慢放下信封,目光停在紧闭的门上。镜头为稳定中近景并轻微推进。暖色顶灯微微闪烁,墙面有冷色雨光反射。声音:远处雨声,无配乐。
Action: 原创快递员在雨夜屋顶奔跑,跃过一道狭窄缝隙,落地后单膝撑住并冲向即将关闭的铁门。低机位手持跟拍,冷色屋顶灯和湿滑地面反光。声音:急促呼吸、雨声、铁门提示音。
Safe animation: 原创二维动画沙漠信使,夸张围巾,驾驶小型风力木车穿过浅色沙丘。手绘背景质感,圆润角色造型,柔和粉彩色调,车轮带出细小沙尘。镜头侧向稳定跟拍。
First/last frame: @图片1为首帧,@图片2为尾帧。保持同一原创角色、服装和房间布局,角色从椅子上缓慢站起,走到窗边并停在尾帧姿势。动作连续自然,不跳切,不改变脸部、衣服或房间结构。镜头固定中景,仅轻微推镜。声音:安静室内环境声。
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.
- 11d ago First seen · 67 lines · 44 tokens per session scan A 51ddd2139b43
seedance-examples-zh is a skill published in the GitHub repository Emily2040/seedance-2.0 (7,260 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 1,357 once invoked, about $0.0002 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.
Other skills, from other repositories
seedance-examples-zh
This skill should be used when the user asks for Chinese Seedance 2.0 examples, Chinese prompt patterns, example rewrites, or safe versions of working Chinese video-generation prompts.
seedance-examples-zh
This skill should be used when the user asks for Chinese Seedance 2.0 examples, Chinese prompt patterns, example rewrites, or safe versions of working Chinese video-generation prompts.
seedance-examples-zh
This skill should be used when the user asks for Chinese Seedance 2.0 examples, Chinese prompt patterns, example rewrites, or safe versions of working Chinese video-generation prompts.
seedance-examples-ja
This skill should be used when the user asks for Japanese Seedance 2.0 examples, Japanese prompt patterns, example rewrites, or safe versions of working Japanese video-generation prompts.
seedance-vocab-zh
This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.
seedance-examples-ko
This skill should be used when the user asks for Korean Seedance 2.0 examples, Korean prompt patterns, example rewrites, or safe versions of working Korean video-generation prompts.