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 agentmods add skills/1370998960-del/https-github.com-emily2040-seedance-2.0/seedance-examples-zhnpx skills add 1370998960-del/https-github.com-Emily2040-seedance-2.0 --skill seedance-examples-zhgit clone --depth 1 https://github.com/1370998960-del/https-github.com-Emily2040-seedance-2.0Wrote 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/1370998960-del/https-github.com-emily2040-seedance-2.0/seedance-examples-zh)<a href="https://agentmods.dev/skills/1370998960-del/https-github.com-emily2040-seedance-2.0/seedance-examples-zh"><img src="https://agentmods.dev/badge/skills/1370998960-del/https-github.com-emily2040-seedance-2.0/seedance-examples-zh.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.01248 |
| Opus 5 | $0.00022 | $0.00624 |
| Sonnet 5 | $0.00009 | $0.00250 |
| Haiku 4.5 | $0.00004 | $0.00125 |
Grade A, and why
seedance-examples-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 7d 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
86% identical to seedance-examples-zh — 16 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-examples-zh
Use examples as patterns, not as content to copy blindly. Chinese prompts should stay compact, concrete, and production-oriented. Keep reference tags such as [Image1], [Video1], and [Audio1] unchanged.
Intent
Some users learn by rule, but the ones who come here learn by seeing. The purpose of these examples is recognition - a working prompt close enough to their idea that they can feel the gap and close it themselves. An example that teaches is worth ten instructions.
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]为产品参考,严格保持logo、标签、瓶身形状和颜色不变。镜头缓慢推进到标签特写;左侧暖光扫过玻璃,水珠沿瓶身下滑,背景保持暗色静止。声音:轻微环境声,结尾一声清脆玻璃音。
Character drama: 原创角色A站在狭窄走廊,缓慢放下信封,目光停在紧闭的门上。镜头为稳定中近景并轻微推进。暖色顶灯微微闪烁,墙面有冷色雨光反射。声音:远处雨声,无配乐。
Action: 原创快递员在雨夜屋顶奔跑,跃过一道狭窄缝隙,落地后单膝撑住并冲向即将关闭的铁门。低机位手持跟拍,冷色屋顶灯和湿地反光。声音:急促呼吸、雨声、铁门提示音。
Safe animation: 原创二维动画沙漠信使,夸张围巾,驾驶小型风力木车穿过浅色沙丘。手绘背景质感,圆润角色造型,柔和粉彩色调,车轮带出细小沙尘。镜头侧向稳定跟拍。
First/last frame: @图1为首帧,@图2为尾帧。保持同一原创角色、服装和房间布局,角色从椅子上缓慢站起,走到窗边并停在尾帧姿势。动作连续自然,不跳切,不改变脸部、衣服或房间结构。镜头固定中景,仅轻微推镜。声音:安静室内环境声。
Sequence Clip 01: 原创角色A在清晨机场出口停下,手里握着一张折起的纸条。本段只建立“她在等待某人”的线索,不出现重逢或离开。镜头横向稳定跟拍到中景,A看向到达屏并停住。声音:机场环境声、远处广播、无配乐。
Continuation: 从上一段已接受视频的真实结尾继续:A站在到达屏前,纸条仍在右手。本段只让A打开纸条,看到名字后向画面左侧抬头,不重复走出机场的动作,不提前出现对方。镜头固定中近景,轻微推镜。
Camera-reference R2V: @图1锁定原创角色造型和服装,@视频1仅参考运镜节奏和侧向跟拍方式,不复制人物、场景或品牌。角色在雨夜街道从画面左侧跑入,停在路灯下回头。镜头横向稳定跟拍,最后固定中景。冷色雨光,地面反射霓虹。声音:雨声、脚步声,无配乐。
Dialogue: 原创角色A坐在厨房桌前,固定中近景。对白期间头部保持稳定,只做轻微表情变化。角色轻声说:“我找到钥匙了。”柔和窗光来自画面右侧,背景有暖色台灯。声音:清晰短对白、低室内环境声、无配乐。
Rewrite Pattern
If the prompt contains protected names, translate the intent into original descriptors: 知名IP角色 becomes 原创蒙面屋顶信使; 某导演风格 becomes 低饱和胶片质感、硬侧光、长焦压缩空间、静默表演.
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.
- 7d ago First seen · 65 lines · 44 tokens per session scan A ae497b270c8b
seedance-examples-zh is a skill published in the GitHub repository 1370998960-del/https-github.com-Emily2040-seedance-2.0 (235 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 1,248 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to seedance-examples-zh, differing in 16 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-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-examples-ko
This skill should be used when the user asks for Korean Seedance 2.0 examples, Korean prompt patterns, example rewrites, or safe versions of working Korean video-generation prompts.
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-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-zh
This skill should be used when the user asks for Chinese Seedance 2.0 examples, Chinese prompt patterns, example rewrites, or safe versions of working Chinese video-generation prompts.