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-prompt-shortgit 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-prompt-short)<a href="https://agentmods.dev/skills/leoyeai/seedance-skills/seedance-prompt-short"><img src="https://agentmods.dev/badge/skills/leoyeai/seedance-skills/seedance-prompt-short/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-prompt-short"><img src="https://agentmods.dev/badge/skills/leoyeai/seedance-skills/seedance-prompt-short.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 | $0.00047 | $0.00699 |
| Opus 5 | $0.00023 | $0.00349 |
| Sonnet 5 | $0.00009 | $0.00140 |
| Haiku 4.5 | $0.00005 | $0.00070 |
Grade A, and why
seedance-prompt-short 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
98% identical to seedance-prompt-short — 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.
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-prompt-short
Compress Seedance prompts without losing the production signal. A short prompt still needs mode, subject, action, camera, light, sound when useful, and constraints. Remove filler before removing physical details.
When sequence state is present, compression must preserve continuity locks, exact reference tags, actual opening state, current clip action, endpoint, completed beat exclusions, and reserved future beats. Do not compress away the words that keep a continuation from replaying completed action or leaking future action.
Intent
Compression is an act of judgment about what the user loves most. What survives the cut is the soul of their shot; everything else goes first. If the user would mourn a deleted word, it was never filler.
Compression Priority
Preserve in this order:
- Reference tags and their role.
- Subject or product identity.
- Action verb and visible endpoint.
- One camera move.
- Physical light source or atmosphere.
- Audio cue or silence instruction.
- Safety, IP, or continuity constraint.
- Sequence state clauses: actual opening state, continuity locks, completed beats, and reserved beats.
Delete generic adjectives, duplicate style labels, obvious background details, secondary camera moves, and secondary actions before deleting preservation constraints.
For bilingual or mixed-language compression, load [ref:multilingual-community-examples]. Keep only the language mix that clarifies reference roles, dialogue, camera terms, or safe production constraints.
Compact Templates
| Need | Template |
|---|---|
| T2V | [Subject] [action and endpoint] in [scene]. Camera: [one move]. Light/style: [physical source]. Sound: [cue]. Constraint: [risk/continuity]. |
| I2V | @Image1 preserved; only [motion/light/camera] changes. Camera: [one move]. Sound: [cue]. Constraint: [what must not change]. |
| V2V | @Video1 controls [motion/camera/timing] only; new subject [anchor]. [Action]. Do not transfer [identity/scene/logo]. |
| Chinese | @Image1为参考，严格保持[主体]不变；仅加入[动作/光线/镜头]。声音：[提示]。 |
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.
- 12d ago First seen · 60 lines · 47 tokens per session scan A 21e643b541bc
seedance-prompt-short is a skill published in the GitHub repository LeoYeAI/seedance-skills (39 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 699 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to seedance-prompt-short, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
seedance-prompt-short
This skill should be used when the user asks for a compact Seedance 2.0 prompt, short Chinese prompt, prompt compression, 30-100 word output, or removal of unnecessary prompt language.
seedance-prompt-short
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seedance-25-prompting
Expert prompt engineering pour Seedance 2.5 (ByteDance / Dreamina / Jimeng / Doubao), modèle vidéo 30 s en une passe, audio natif, 50 références max. Utiliser dès que l'utilisateur veut écrire, optimiser ou déboguer un prompt Seedance (2.5 ou 2.0), générer une vidéo avec Seedance/Dreamina/Jimeng, faire du…
seedance-vocab-en
This skill should be used when an English Seedance 2.0 prompt needs clearer production wording, less generic prose, or precise vocabulary for camera, lighting, motion, VFX, audio, and constraints. Route blocked prompts through seedance-filter for context and boundary review.
seedance-antislop
This skill should be used when a Seedance 2.0 prompt contains generic AI filler, hollow superlatives, vague cinematic language, bloated adjectives, weak verbs, or needs sharper production-specific wording.
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.