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-go-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-go-skills)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/veadk-go-skills"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/veadk-go-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-go-skills"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/veadk-go-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 | $0.00045 | $0.00393 |
| Opus 5 | $0.00023 | $0.00197 |
| Sonnet 5 | $0.00009 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
veadk-go-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 10d 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-Go Agent 代码，或完成 VeADK-Go 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 Enio 代码转化为 VeADK-Go 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：
- 了解VeADK-Go开发框架的代码结构、功能特性以及代码示例，可以参考
/references/common/目录下文档 - 分析用户需求，生成 Agent 代码。
Enio 代码转换为 VeADK-Go Agent
请你遵循以下步骤：
- 了解VeADK-Go开发框架的代码结构、功能特性以及代码示例，可以参考
/references/common/目录下文档 - 分析原有 Enio 代码
- 将原有代码改为 VeADK-Go Agent。代码特性对应关系参考
references/converter/enio_rules.md - 确保 llmagent.Config Name 字段 不包含空格和-等特殊字符。
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/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。
What ships with it
5 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.
- 10d ago First seen · 43 lines · 45 tokens per session scan A f9e46e5a4fed
veadk-go-skills is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 6d ago), licensed Apache-2.0. It adds 45 tokens to every session and 393 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 2026-08-31.
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