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-vocab-zhgit 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-vocab-zh)<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/seedance-vocab-zh"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/seedance-vocab-zh/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-vocab-zh"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/seedance-vocab-zh.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 | $0.00055 | $0.00859 |
| Opus 5.5 | $0.00022 | $0.00344 |
| Sonnet 5.5 | $0.00011 | $0.00172 |
| Haiku 4.5 | $0.00006 | $0.00086 |
Grade A, and why
seedance-vocab-zh 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- seedance-vocab-zh — 88% identical, 8 lines differ
- seedance-vocab-zh — 88% identical, 8 lines differ
- seedance-vocab-zh — 88% identical, 14 lines differ
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-vocab-zh
Use Chinese vocabulary when the user asks for Chinese prompts, Mandarin cinematic wording, role binding, first/last-frame workflow, or maximum compactness. Chinese prompt wording is often efficient, but it must still preserve mode, reference roles, action, camera, lighting, audio, and constraints.
Intent
Chinese can say in four characters what English needs a sentence for - and the user choosing Chinese is choosing that compression and its culture. Serve the density without losing the directing: every 成语-tight phrase still names something a camera can see.
Usage Rule
Literal @Image1, @Video1, @Audio1, @图片1, @视频1, and @音频1 strings below are Seedance 2.0 surface examples. Preserve an exact tag only when the user or active surface supplied it. For Seedance 2.5 without token mapping, use neutral asset-role names in the prompt plan and bind execution through the structured reference fields; never invent or translate a tag. Use short production phrases instead of abstract adjectives.
Load [ref:vocab/zh] for dense role-binding, first/last-frame, camera, lighting, audio, edit/extend, constraint, and safety vocabulary.
| Function | Chinese wording |
|---|---|
| Camera | 缓慢推镜, 横向跟拍, 固定中景, 低角度, 特写, 从剪影到正面四分之三角度 |
| Lighting | 侧逆光, 柔和窗光, 暖色实用灯, 冷色月光, 轮廓光, 体积光 |
| Motion | 慢慢转身, 快速掠过画面, 水珠沿表面下滑, 薄雾贴地扩散 |
| Audio | 安静环境声, 一句短对白, 轻微金属声, 无配乐, 脚步声卡点 |
| First/last frame | [活动 surface 的精确首帧引用] 为首帧, [活动 surface 的精确尾帧引用] 为尾帧, 自然过渡到尾帧, 中间动作连续，不跳切 |
| Constraints | 严格保持logo、标签、形状和颜色不变 |
Compact Pattern
[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/产品/脸部/标志]不变；仅加入[动作/光线/镜头变化]。镜头：[一个动作]。声音：[音效或环境声]。
De-Slop Rule
When the prompt leans on 电影感, 氛围感, 高级感, 大片感, or bare 质感, load the Slop Traps table in references/vocab/zh.md and decompose each into the physical elements that produce it - 材质, 光线, 色彩, 空气.
Output Contract
Return concise Chinese prompt text, optional English gloss when useful, and preserve reference tags exactly.
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 · 55 lines · 55 tokens per session scan A 8d108996c442
seedance-vocab-zh is a skill published in the GitHub repository anymouschina/TapCanvas (681 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 859 once invoked, about $0.0002 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-vocab-zh
This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.
seedance-vocab-zh
This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.
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-zh
This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.
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.