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-kogit 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-ko)<a href="https://agentmods.dev/skills/emily2040/seedance-2.0/seedance-examples-ko"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-examples-ko/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-ko"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-examples-ko.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 | $0.00043 | $0.01106 |
| Opus 5 | $0.00022 | $0.00553 |
| Sonnet 5 | $0.00009 | $0.00221 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
seedance-examples-ko 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-ko — 91% identical, 8 lines differ
- seedance-examples-ko — 91% identical, 8 lines differ
- seedance-examples-ko — 91% identical, 14 lines differ
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-examples-ko
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 Korean examples as language-specific prompt patterns, not translated English templates. Preserve reference tags exactly: @Image1, @Image2, @Video1, and @Audio1 remain unchanged inside Korean sentences. Static validation is not a language certification; use multilingual language review for that review and do not infer who wrote the material.
Intent
Korean examples should turn 감성 into production behavior: the feeling is carried by shot size, light direction, stillness, small gestures, room tone, and post-production text handling. Keep the prompt compact enough to direct the clip, not narrate the whole drama.
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: @Image1은 제품 참조이며 로고, 라벨, 병 모양, 색상을 정확히 유지한다. 변화는 작은 물방울이 표면을 따라 내려가는 움직임과 왼쪽에서 지나가는 따뜻한 프랙티컬 조명만 적용한다. Camera: locked product close-up, slow push-in. Sound: 낮은 실내 환경음, 마지막에 작은 유리 소리.
Melodrama micro-expression: 현대 아파트 주방, 두 명의 original adult characters only. Character A lowers a ceramic mug and looks away; Character B stays near the window, no approach. Camera: locked medium-wide, subtle handheld breathing sway. Lighting: warm tungsten practical, faint blue city spill. Sound: refrigerator hum, fabric movement, no music.
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 · 61 lines · 43 tokens per session scan A 19633d37bb75
seedance-examples-ko is a skill published in the GitHub repository Emily2040/seedance-2.0 (7,260 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 1,106 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-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.
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.
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.
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-ko
This skill should be used when the user asks for Korean Seedance 2.0 prompt wording, Korean cinematic vocabulary, or translation of camera, lighting, action, VFX, audio, and production terms into Korean.
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.