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 mrDesign-ww/vault-os --skill seedance-examples-jagit clone --depth 1 https://github.com/mrDesign-ww/vault-osWrote 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/mrdesign-ww/vault-os/seedance-examples-ja)<a href="https://agentmods.dev/skills/mrdesign-ww/vault-os/seedance-examples-ja"><img src="https://agentmods.dev/badge/skills/mrdesign-ww/vault-os/seedance-examples-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/mrdesign-ww/vault-os/seedance-examples-ja"><img src="https://agentmods.dev/badge/skills/mrdesign-ww/vault-os/seedance-examples-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 | $0.00043 | $0.01026 |
| Opus 5 | $0.00022 | $0.00513 |
| Sonnet 5 | $0.00009 | $0.00205 |
| Haiku 4.5 | $0.00004 | $0.00103 |
Grade A, and why
seedance-examples-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 3d 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
95% identical to seedance-examples-ja — 12 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.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-examples-ja
Use Japanese examples as native prompt patterns, not translated English templates. Preserve reference tags exactly: @Image1, @Image2, @Video1, and @Audio1 remain unchanged inside Japanese sentences.
Intent
Japanese examples should feel like production notes a Japanese creator could actually use: polite where helpful, compact where the model needs clarity, and concrete enough that every emotion becomes framing, light, motion, sound, or post-production handling.
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を商品参照として使い、ロゴ、ラベル、形状、色を正確に維持する。変化は小さな水滴が表面を下へ流れる動きと、左から横切る柔らかい暖色光だけ。Camera: locked product close-up, slow push-in. Sound: quiet room tone, one small glass tick at the end.
Portrait micro-performance: @Image1の人物の顔、髪型、衣装、背景構図を保持。動きは小さく、一度まばたきし、視線を少し下げ、最後に控えめに微笑む。Camera: locked medium close-up, no reframing. Lighting: soft window light from frame right. Sound: quiet room tone.
Sequence clip 01: オリジナル人物Aが夜明けの駅ホームに入ってくる。「誰かを待つ」という目的が分かる最初の手がかりだけを見せる。Aは濡れた床を二歩歩き、折りたたまれた切符を見つけて拾わずに止まる。Camera: stable lateral tracking, medium-wide. このクリップでは列車到着や再会は見せない。
Continuation: 前の採用済みクリップの終点から続ける。Aは切符の二歩手前で止まっている状態から開始し、ゆっくりしゃがんで切符を拾い、遠くのアナウンスに反応して顔を上げる。前の入場動作を繰り返さない。Camera: locked medium shot, slight push-in.
Dialogue: Character A sits at a cafe table in a locked medium close-up and softly says, "もう一度だけ。" セリフ中は頭を大きく動かさず、小さな口の動きだけ。Lighting: warm interior practical, cool rain reflection on wall. Sound: clear short dialogue, no music under the line.
Textless localization: 9:16の日本向けSNSカット。商品は中央、端に重要な動きなし。画面内に生成文字、字幕、広告コピーを入れない。Post note: 日本語字幕、法務文言、CTAは編集で追加する。
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.
- 3d ago First seen · 59 lines · 43 tokens per session scan A c0cbabad8ce7
seedance-examples-ja is a skill published in the GitHub repository mrDesign-ww/vault-os (2 stars, last pushed 3d ago), licensed MIT. It adds 43 tokens to every session and 1,026 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to seedance-examples-ja, differing in 12 lines, and is treated as a copy.
Other skills, from other repositories
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-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-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-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-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.