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 veadk-skillsgit 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/veadk-skills)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/veadk-skills"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/veadk-skills/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/veadk-skills"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/veadk-skills.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 | $0.00022 | $0.00500 |
| Opus 5 | $0.00011 | $0.00250 |
| Sonnet 5 | $0.00004 | $0.00100 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
veadk-skills 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.
What it actually says
VeADK Agent 生成
本技能可以根据用户的需求，生成符合要求的 VeADK Agent 代码，或完成 VeADK 相关功能。
触发条件
- 用户简要描述了其功能需求，并希望构建一个 Agent 来完成；
- 用户希望可以将已有的 Langchain/Langgraph 代码转化为 VeADK Agent 代码
- 用户希望可以将已有的 Dify 工作流转化为 VeADK Agent 代码
具体步骤
下面是本技能不同的组件能力。
直接根据需求生成 Agent
请你遵循以下步骤：
- 分析用户需求，生成对应的 Agent 系统结构，参考
references/generator/analyze.md - 提示词优化，参考
references/generator/refine_prompt.md - 生成 Agent 代码，参考
references/generator/coding.md
Langchain 代码转换为 VeADK Agent
请你遵循以下步骤：
- 分析原有 Langchain 或 Langgraph 代码
- 将原有代码改为 VeADK Agent，对应关系详见
references/converter/langchain_rules.md - 参照
references/common/目录内的文档来生成 VeADK 代码
Dify 工作流转换为 VeADK Agent
请你遵循以下步骤：
- 分析原有 Dify 工作流 DSL（一般为一个 Yaml 格式文件）
- 将原有代码改为 VeADK Agent，对应关系详见
references/converter/dify_rules.md - 参照
references/common/目录内的文档来生成 VeADK 代码
后续工作
在完成 Agent 代码编写后，调用脚本保存代码产物：
agent_name/__init__.py: 固定内容为from . import agent # noqaagent_name/agent.py：包含所有智能体的代码
其中，agent_name 是你认为合适的 Agent 的名称。
脚本调用方法为：
python save_file.py --path ... --content ...
What ships with it
10 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.
- LICENSE.txt 11 KB
- references/common/agent.md 3.2 KB
- references/common/knowledgebase.md 737 B
- references/common/tools.md 1.9 KB
- references/converter/dify_rules.md 815 B
- references/converter/langchain_rules.md 652 B
- references/generator/analyze.md 1.2 KB
- references/generator/coding.md 258 B
- references/generator/refine_prompt.md 2.4 KB
- scripts/save_file.py 1.6 KB runs code
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 First seen · 59 lines · 22 tokens per session scan A f0f9279d85bf
veadk-skills is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 5d ago), licensed Apache-2.0. It adds 22 tokens to every session and 500 once invoked, about $0.0001 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.
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