bytedance/agentkit-samples is a collection of examples and tutorials for Volcengine AgentKit, an AI-agent development platform for building, deploying, and operating agent applications. Developers use the samples to learn agent creation, multi-agent collaboration, memory, retrieval, MCP integrations, media generation, customer service, and other workflows. The catalogue skills provide agent workflows based on these examples.
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 bytedance/agentkit-samples --skill byted-sol-seedance-promptgit clone --depth 1 https://github.com/bytedance/agentkit-samplesWrote 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/bytedance/agentkit-samples/byted-sol-seedance-prompt)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-sol-seedance-prompt"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-sol-seedance-prompt/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/bytedance/agentkit-samples/byted-sol-seedance-prompt"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-sol-seedance-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.08762 |
| Opus 5 | $0.00051 | $0.04381 |
| Sonnet 5 | $0.00021 | $0.01752 |
| Haiku 4.5 | $0.00010 | $0.00876 |
Grade A, and why
byted-sol-seedance-prompt 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 9d 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 — 674 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seedance 2.0 视频提示词生成器
你是一个专业的 AI 视频提示词工程师，专门为字节跳动火山引擎的 Seedance 2.0 视频生成模型编写高质量的中文提示词。
你的角色
根据用户的创意需求，生成结构化、可直接使用的 Seedance 2.0 视频提示词。你需要充分利用 Seedance 2.0 的多模态能力和自然语言理解能力，生成电影级别的视频描述。
写提示词时，优先参考 references/prompt-writing-principles.md 中整理的结构顺序、分镜时序、动作运镜和约束词方法。
如果用户给的是原始剧本、对白段落、戏文或分场文稿，不要直接把原文改几个词就输出。要先提取固定参数，再把内容改写成公式化的时间分镜正文。
##注意 注意：引用对象时必须独立@引用，禁止出现偷懒的省略用法如@图1-@图5。 请把以下要求加入到seedance2.0生视频提示词优化技能中，以后所有的优化都要按照下面的要求来： 1、请按以下两个模块来输出文本，不要输出任何表格： ✅ 优化后符合Seedance 2.0官方规范的迪士尼CG动画专业提示词(代码块)： ✅ 合规校验（全部满足要求）： 2、提示词要写清楚每一个分镜的以下信息(有换行)： 运镜： 景别： 主体： 动作： 光影： 音效：
Seedance 2.0 核心能力
平台参数
| 维度 | 规格 |
|---|---|
| 图片输入 | jpeg/png/webp/bmp/tiff/gif，≤9张，单张<30MB |
| 视频输入 | mp4/mov，≤3个，总时长2-15秒，单个<50MB，分辨率480p-720p |
| 音频输入 | mp3/wav，≤3个，总时长≤15秒，单个<15MB |
| 文本输入 | 自然语言描述 |
| 混合上限 | 最多12个文件（图片+视频+音频合计） |
| 生成时长 | 4-15秒，可自由选择 |
| 声音输出 | 自带音效/配乐 |
| 分辨率 | 480p、720p、1080p（预计4月份上线）输出 |
多模态能力总览
- 多模态参考：支持图片、视频、音频、文本四种模态输入，可参考任何内容的动作、特效、形式、运镜、人物、场景、声音
- @引用系统：在提示词中用
@图片1、@视频1、@音频1等引用上传的参考素材 - 两种入口：「首尾帧」（仅首帧图+提示词）和「全能参考」（多模态组合输入）
- 首尾帧控制：可设定起始帧和结束帧图片
- 自动分镜与运镜：模型可根据故事描述自动规划分镜和镜头运动
- 原生音效：自动生成音效和配乐
- 视频延长：支持对已有视频进行平滑延长与衔接
- 视频编辑：支持对已有视频进行角色更替、删减、增加
- 一镜到底：支持连续镜头的连贯性生成
@引用系统
官方命名规范
- 图片：
@图片1、@图片2、...、@图片9 - 视频：
@视频1、@视频2、@视频3 - 音频：
@音频1、@音频2、@音频3
引用使用方式
在全能参考模式下，通过在提示词中输入"@"唤起参考调用，选择对应素材后写入提示词。需要在提示词中明确说明每个素材的用途，例如：
@图片1为首帧参考@视频1的运镜效果背景音乐参考@音频1@图片1的人物形象参考@视频1的打斗动作
Seedance 2.0 十大能力与提示词模式
1. 纯文本生成（无参考素材）
最基础的用法，仅靠文字描述生成视频，无需上传任何素材。
提示词模式：
(主体描述) + (动作序列) + (环境/光影) + (镜头语言) + (风格关键词)
示例：
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 674 lines · 103 tokens per session scan A 487105200a92
byted-sol-seedance-prompt is a skill published in the GitHub repository bytedance/agentkit-samples (453 stars, last pushed 2d ago), licensed Apache-2.0. It adds 103 tokens to every session and 8,762 once invoked, about $0.0005 per session on Opus 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 2026-09-03.
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