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 LeoYeAI/seedance-skills --skill seedance-vocab-jagit clone --depth 1 https://github.com/LeoYeAI/seedance-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/leoyeai/seedance-skills/seedance-vocab-ja)<a href="https://agentmods.dev/skills/leoyeai/seedance-skills/seedance-vocab-ja"><img src="https://agentmods.dev/badge/skills/leoyeai/seedance-skills/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/leoyeai/seedance-skills/seedance-vocab-ja"><img src="https://agentmods.dev/badge/skills/leoyeai/seedance-skills/seedance-vocab-ja.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00691 |
| Opus 5 | $0.00025 | $0.00345 |
| Sonnet 5 | $0.00010 | $0.00138 |
| Haiku 4.5 | $0.00005 | $0.00069 |
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 12d 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.
This is a copy
92% identical to seedance-vocab-ja — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
seedance-vocab-ja
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 reference tags exactly: @Image1, @Video1, and @Audio1 remain in English brackets.
Intent
The user working in Japanese often lives closest to the anime tradition this model loves to render. Serve both registers - the politeness-shaped natural sentence and the production term - and let the vocabulary feel native, never translated.
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]。
De-Slop Rule
When the prompt leans on 映画のような, エモい, 雰囲気のある, 壮大な, or 高画質, load the Slop Traps table in references/vocab/ja.md and decompose each into the physical elements that produce it - 動作動詞＋速度＋視点, 光源＋方向＋挙動.
Output Contract
Return Japanese prompt wording, optional English gloss when useful, and unchanged reference tags.
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.
- 12d ago First seen · 52 lines · 50 tokens per session scan A fff19b514a3a
seedance-vocab-ja is a skill published in the GitHub repository LeoYeAI/seedance-skills (39 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 691 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to seedance-vocab-ja, differing in 10 lines, and is treated as a copy.
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.