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-jagit 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-ja)<a href="https://agentmods.dev/skills/emily2040/seedance-2.0/seedance-vocab-ja"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-vocab-ja/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-ja"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-vocab-ja.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 | $0.00947 |
| Opus 5 | $0.00025 | $0.00474 |
| Sonnet 5 | $0.00010 | $0.00189 |
| Haiku 4.5 | $0.00005 | $0.00095 |
Grade A, and why
seedance-vocab-ja 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-ja
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 Japanese cinematic vocabulary when the user asks for Japanese prompt wording, bilingual delivery, compact translation, or production vocabulary for camera, lighting, motion, VFX, and audio. 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
Japanese prompt direction can combine concise clauses with established production loanwords. Choose one readable clause order, keep each term attached to a concrete shot instruction, and avoid literal English syntax where a shorter production construction is available. The shipped independent review artifact is empty, so treat these choices as working production wording pending locale-specialist review.
Usage Rule
Prefer concise production Japanese over literal translation. Keep the structure readable: subject, action, camera, lighting, sound, and preservation constraint.
| Function | Japanese wording |
|---|---|
| Camera | ゆっくりドリーイン, 横移動のトラッキング, 固定の中景, 低いアングル, クローズアップ |
| Lighting | 逆光, 柔らかい窓光, 暖かいプラクティカルライト, 冷たい月明かり, 輪郭光 |
| Motion | ゆっくり振り返る, 画面を素早く横切る, 水滴が下へ流れる, 煙が薄く広がる |
| Audio | 静かな環境音, 短い台詞, 金属音, 音楽なし |
| Constraints | ロゴ、ラベル、形状を正確に維持する |
Compact Pattern
@Image1を参照として、被写体の顔/商品形状/ロゴを正確に維持する。変化は[動き/光/カメラ]のみ。カメラ：[一つの動き]。音：[音声指示]。
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 28e87b7ed897
- 5d ago Changed d26b588475fb
- 13d ago First seen · 58 lines · 50 tokens per session scan A eccce36c130e
seedance-vocab-ja 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 947 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-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.
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.
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.
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-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.