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 anymouschina/TapCanvas --skill seedance-prompt-shortgit clone --depth 1 https://github.com/anymouschina/TapCanvasWrote 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/anymouschina/tapcanvas/seedance-prompt-short)<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/seedance-prompt-short"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/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/anymouschina/tapcanvas/seedance-prompt-short"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/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 | $0.00063 | $0.00828 |
| Opus 5.5 | $0.00025 | $0.00331 |
| Sonnet 5.5 | $0.00013 | $0.00166 |
| Haiku 4.5 | $0.00006 | $0.00083 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 62 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.
Surface reference contract: literal @Image1/@Video1/@Audio1 strings in historical examples are Seedance 2.0 surface syntax. Use only exact tokens supplied by the user or active structured surface. For Seedance 2.5 without token mapping, use neutral asset-role names in a conditional plan or the active structured reference fields during execution; never invent a tag.
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 | [exact active image-reference token or neutral asset name] is preserved; only [motion/light/camera] changes. Camera: [one move]. Sound: [cue]. Constraint: [what must not change]. |
| V2V | [exact active video-reference token or neutral asset name] controls [motion/camera/timing] only; new subject [anchor]. [Action]. Do not transfer [identity/scene/logo]. |
| Chinese | [活动 surface 提供的精确图像引用 token，或中性资产名]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.
- 1mo ago First seen · 62 lines · 63 tokens per session scan A 40c51f9ed7fc
seedance-prompt-short is a skill published in the GitHub repository anymouschina/TapCanvas (686 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 828 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-21.
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
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
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
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.
dramake
A production workflow for turning an idea, story, script, storyboard, or existing footage into a short AI drama or film. It covers planning, generation, voice, editing, and quality checks for formats such as vertical and horizontal video.
seedance-interview-short
A guided creative journey to craft a production-ready prompt under the hard 2000-character limit. Follow the "Director\\.