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-vocab-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-vocab-ko)<a href="https://agentmods.dev/skills/emily2040/seedance-2.0/seedance-vocab-ko"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-vocab-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-vocab-ko"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-vocab-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 | $0.00050 | $0.00954 |
| Opus 5 | $0.00025 | $0.00477 |
| Sonnet 5 | $0.00010 | $0.00191 |
| Haiku 4.5 | $0.00005 | $0.00095 |
Grade A, and why
seedance-vocab-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 4d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-vocab-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 cinematic vocabulary when the user asks for Korean prompt wording, bilingual delivery, compact translation, or production vocabulary for camera, lighting, action, VFX, audio, and constraints. Preserve actual reference tags exactly; their spelling is independent of the prompt language.
Before adapting a reference example below, load Using Reference Examples. Bind its placeholders to real assets by the requested role, then preserve the actual token, including its script, case, spacing and punctuation. A written example token does not attach a file.
Intent
Korean prompt direction should preserve useful mood or style terms and clarify ambiguous intent through observable light, framing, blocking, or timing. Keep the relationship and speech level explicit whenever dialogue is added. The shipped independent review artifact is empty, so treat these choices as working production wording pending locale-specialist review.
Usage Rule
Translate the production intention rather than every English word. Keep the Korean prompt compact and concrete: subject, action, camera, light, sound, and preservation constraint.
| Function | Korean wording |
|---|---|
| Camera | 느린 돌리 인, 측면 트래킹 샷, 고정된 미디엄 샷, 로우 앵글, 클로즈업 |
| Lighting | 역광, 부드러운 창문 빛, 따뜻한 프랙티컬 조명, 차가운 달빛, 림 라이트 |
| Motion | 천천히 돌아선다, 프레임을 빠르게 가로지른다, 물방울이 아래로 흐른다, 연기가 얇게 퍼진다 |
| Audio | 조용한 환경음, 짧은 대사, 부드러운 금속음, 음악 없음 |
| Constraints | 로고, 라벨, 형태를 정확히 유지한다 |
Compact Pattern
@Image1은 참조 이미지이며 얼굴/제품 형태/로고를 정확히 유지한다. 변화는 [동작/조명/카메라]만 적용한다. 카메라: [한 가지 움직임]. 사운드: [음향 지시].
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.
- 4d ago Changed · +2 lines 28033f3fd73f
- 5d ago Changed c133f61856b2
- 13d ago First seen · 58 lines · 50 tokens per session scan A 15fcecae9550
seedance-vocab-ko is a skill published in the GitHub repository Emily2040/seedance-2.0 (7,279 stars, last pushed 4d ago), licensed MIT. It adds 50 tokens to every session and 954 once invoked, about $0.0003 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-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-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-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-vocab-ru
This skill should be used when the user asks for Russian Seedance 2.0 prompt wording, Russian cinematic vocabulary, or translation of camera, lighting, action, VFX, audio, and production terms into Russian.
seedance-vocab-es
This skill should be used when the user asks for Spanish Seedance 2.0 prompt wording, Spanish cinematic vocabulary, or translation of camera, lighting, action, VFX, audio, and production terms into Spanish.
seedance-vocab-ja
This skill should be used when the user asks for Japanese Seedance 2.0 prompt wording, Japanese cinematic vocabulary, or translation of camera, lighting, action, VFX, audio, and production terms into Japanese.