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-examples-kogit 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-examples-ko)<a href="https://agentmods.dev/skills/leoyeai/seedance-skills/seedance-examples-ko"><img src="https://agentmods.dev/badge/skills/leoyeai/seedance-skills/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/leoyeai/seedance-skills/seedance-examples-ko"><img src="https://agentmods.dev/badge/skills/leoyeai/seedance-skills/seedance-examples-ko.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 | $0.00999 |
| Opus 5.5 | $0.00017 | $0.00400 |
| Sonnet 5.5 | $0.00009 | $0.00200 |
| Haiku 4.5 | $0.00004 | $0.00100 |
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 1mo 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
91% identical to seedance-examples-ko — 8 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-ko
Use Korean examples as native prompt patterns, not translated English templates. Preserve reference tags exactly: @Image1, @Image2, @Video1, and @Audio1 remain unchanged inside Korean sentences.
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.
Sequence clip 01: 오리지널 인물A가 새벽 버스 정류장에 도착한다. 이번 클립의 역할은 기다림의 이유를 암시하는 것뿐이다. A는 접힌 메모를 발견하고 손을 뻗기 직전에 멈춘다. Camera: stable lateral tracking, medium-wide. 이 클립에서는 만남이나 버스 출발을 보여주지 않는다.
Continuation: 이전 승인된 클립의 끝 상태에서 이어진다. A는 메모 앞에서 멈춘 상태로 시작하고, 천천히 메모를 집어 들고 멀리서 들리는 안내음에 고개를 든다. 이전의 도착 동작은 반복하지 않는다. Camera: locked medium shot, slight push-in.
Dialogue: Character A sits at a cafe table, locked medium close-up, shoulders still. She says, "괜찮아, 천천히 말해." 대사 중에는 고개를 돌리지 않고 작은 입 움직임만 사용한다. Sound: clear short dialogue, soft cafe room tone, no music under the line.
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.
- 1mo ago First seen · 59 lines · 43 tokens per session scan A b4e19fd63ca9
seedance-examples-ko is a skill published in the GitHub repository LeoYeAI/seedance-skills (51 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 999 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to seedance-examples-ko, differing in 8 lines, and is treated as a copy.
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