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 image-video-gengit 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/image-video-gen)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/image-video-gen"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/image-video-gen.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 | $0.00054 | $0.00484 |
| Opus 5 | $0.00027 | $0.00242 |
| Sonnet 5 | $0.00011 | $0.00097 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
image-video-gen 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 6d 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.
What it actually says
Image Video Tool Workflow
描述
这是一个用于生成图片和视频的智能体工作流。它协调 byted-web-search, image-generate, 和 video-generate 工具来完成任务。
依赖技能
工作流程
-
理解用户意图：
- 接收用户输入的文本描述。
- 如果用户输入是故事或情节，直接调用
byted-web-search工具获取背景信息。 - 如果用户输入为其他类型（如问题、请求），则先调用
byted-web-search工具 (最多调用2次)，找到合适的信息。
-
生成图片：
- 根据准备好的背景信息，调用
image-generate工具生成分镜图片。 - 生成后，以 Markdown 图片列表形式返回，例如：
 - 根据准备好的背景信息，调用
-
生成视频 (可选)：
- 根据用户输入，判断是否需要调用
video-generate工具生成视频。 - 返回视频 URL 时，使用 Markdown 视频链接列表，例如：
<video src="https://example.com/video1.mp4" width="640" controls>分镜视频1</video> - 根据用户输入，判断是否需要调用
注意事项
- 此技能本身没有 Python 执行脚本 (
scripts/目录下无脚本)。 - 它通过协调其他原子技能来工作。
- 输入输出中，任何涉及图片或视频的链接 url，绝对禁止任何形式的修改、截断、拼接或替换，必须 100% 保持原始内容的完整性与准确性。
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.
- 6d ago First seen · 47 lines · 54 tokens per session scan A 2192e6902652
image-video-gen is a skill published in the GitHub repository bytedance/agentkit-samples (449 stars, last pushed 2d ago), licensed Apache-2.0. It adds 54 tokens to every session and 484 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
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podcast-generation
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brandkit
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Turn a single still image (PNG/JPG) into a short MP4 with a slow Ken-Burns zoom and a silent audio track. Pure ffmpeg wrapper. Designed as the onfailure substitute for AI video-gen steps that get blocked by content moderation: when seedance refuses, this skill emits a valid replacement clip from the already-generated…
spotify-player
Terminal Spotify playback/search via spogo (preferred) or spotifyplayer. Use when the user asks to play music, search for a song, skip a track, pause playback, check what is currently playing, control Spotify, list audio devices, or manage a Spotify queue from the terminal.
sn-image-base
Base-layer skill for the SenseNova-Skills project, providing low-level APIs for image generation, recognition (VLM), and text optimization (LLM). This skill does not preprocess inputs; it only calls backend services and returns results. This skill is not user-facing and is intended for upper-layer skills only.