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-seedance-video-generategit 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-seedance-video-generate)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-seedance-video-generate"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-seedance-video-generate/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-seedance-video-generate"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-seedance-video-generate.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 | $0.00032 | $0.02536 |
| Opus 5 | $0.00016 | $0.01268 |
| Sonnet 5 | $0.00006 | $0.00507 |
| Haiku 4.5 | $0.00003 | $0.00254 |
Grade A, and why
byted-seedance-video-generate 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 8d 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
1 near-identical copy found in the catalogue:
- byted-seedance-video-generate — 88% identical, 35 lines differ
How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Generate Skill
This skill generates videos using Doubao Seedance 1.0/1.5 models.
Trigger Conditions
- User wants to generate videos from text descriptions
- User wants to create videos based on images (first/last frame)
- User wants to create videos with reference materials (images, videos, audio)
- User asks for video generation capabilities
Usage
Environment Variables
Before using this skill, ensure the following environment variables are set:
ARK_API_KEYorMODEL_VIDEO_API_KEYorMODEL_AGENT_API_KEY: API key for the video generation serviceMODEL_VIDEO_API_BASE: API base URL (optional, has default)MODEL_VIDEO_NAME: Model name (optional, has default)
Function Signature
async def video_generate(
params: list,
batch_size: int = 10,
max_wait_seconds: int = 1200,
model_name: str = None,
) -> Dict:
Parameters
params (list[dict])
A list of video generation requests. Each item is a dict with the following fields:
Required per item:
video_name(str): Name/identifier of the output video fileprompt(str): Text describing the video to generate. Supports Chinese and English.
Optional per item - Input Materials:
first_frame(str): URL for the first frame imagelast_frame(str): URL for the last frame imagereference_images(list[str]): 1-4 reference image URLs for style/content guidancereference_videos(list[str]): 0-3 reference video URLs (mp4/mov, 2-15s each, total ≤15s)reference_audios(list[str]): 0-3 reference audio URLs (mp3/wav, 2-15s each, total ≤15s)
Optional per item - Video Output Parameters:
ratio(str): Aspect ratio. Options: "16:9" (default), "9:16", "4:3", "3:4", "1:1", "2:1", "21:9", "adaptive"duration(int): Video length in seconds. Range: 2-12s depending on modelresolution(str): Video resolution. Options: "480p", "720p", "1080p"frames(int): Total frame count. Must be in [29, 289] and follow format 25 + 4ncamera_fixed(bool): Lock camera movement. Default: falseseed(int): Random seed for reproducibility. Range: [-1, 2^32-1]watermark(bool): Whether to add watermark. Default: falsegenerate_audio(bool): Whether to generate audio. Only Seedance 1.5 supports thistools(list[dict]): Tool configuration, e.g.,[{"type": "web_search"}]
What ships with it
2 files 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.
- 8d ago Changed df82a19d1204
- 8d ago First seen · 224 lines · 32 tokens per session scan A 36d282a635e5
byted-seedance-video-generate is a skill published in the GitHub repository bytedance/agentkit-samples (453 stars, last pushed yesterday), licensed Apache-2.0. It adds 32 tokens to every session and 2,536 once invoked, about $0.0002 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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