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-seedream-image-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-seedream-image-generate)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-seedream-image-generate"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-seedream-image-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-seedream-image-generate"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-seedream-image-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 | $0.00065 | $0.02537 |
| Opus 5 | $0.00032 | $0.01269 |
| Sonnet 5 | $0.00013 | $0.00507 |
| Haiku 4.5 | $0.00006 | $0.00254 |
Grade A, and why
byted-seedream-image-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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- byted-seedream-image-generate — 86% identical, 24 lines differ
How it starts
The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
byted-seedream-image-generate
Description
Generate high-quality images from text prompts using Volcano Engine Seedream models. This skill provides access to three powerful Seedream model versions (4.0, 4.5, and 5.0-lite), each offering unique capabilities for different use cases.
When to Use This Skill
Use this skill when:
- Users want to create images from text descriptions
- Users need to generate artwork in various artistic styles
- Users want to create visual content for creative projects
- Users need AI-powered image generation capabilities
- Users want to convert reference images to different styles
- Users need to generate multiple images in batch
- Users require high-quality, professional-looking images
Model Versions
| Version | Model Name | Release Date | Recommendation | Best For |
|---|---|---|---|---|
| 4.0 | doubao-seedream-4-0-250828 | August 2025 | ⭐⭐⭐ | Daily use, quick generation |
| 4.5 | doubao-seedream-4-5-251128 | November 2025 | ⭐⭐⭐⭐ | Detail-oriented work, complex scenes |
| 5.0 | doubao-seedream-5-0-260128 | 2026 | ⭐⭐⭐⭐⭐ | Highest quality, best creativity, tools support |
Features
- Text-to-Image: Generate images from detailed text descriptions
- Image-to-Image: Transform reference images into different styles
- Batch Generation: Create multiple images in a single request
- Multiple Versions: Choose from 4.0, 4.5, or 5.0-lite models
- Watermark Control: Option to disable watermarks
- Custom Sizes: Support for various image dimensions
- Output Formats: PNG and JPEG formats (5.0-lite only)
- Web Search Tools: Internet search integration (5.0-lite only)
Installation & Setup
Prerequisites
# Required: API Key configuration
export MODEL_IMAGE_API_KEY="your-api-key-here"
# or
export MODEL_AGENT_API_KEY="your-api-key-here"
# or
export ARK_API_KEY="your-api-key-here"
# Optional: API Base URL (default already configured)
export MODEL_IMAGE_API_BASE="https://ark.cn-beijing.volces.com/api/v3"
# or
export ARK_BASE_URL="https://ark.cn-beijing.volces.com/api/v3"
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.
- 6d ago First seen · 265 lines · 65 tokens per session scan A 6278102441af
byted-seedream-image-generate is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 5d ago), licensed Apache-2.0. It adds 65 tokens to every session and 2,537 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 2026-09-03.
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