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-vms-aicallgit 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-vms-aicall)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-vms-aicall"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-vms-aicall/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-vms-aicall"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-vms-aicall.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 | $0.00068 | $0.01232 |
| Opus 5 | $0.00034 | $0.00616 |
| Sonnet 5 | $0.00014 | $0.00246 |
| Haiku 4.5 | $0.00007 | $0.00123 |
Grade A, and why
byted-vms-aicall 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
byted-vms-aicall · 火山云通信智能外呼
何时使用
当用户希望 AI 机器人代为外呼办事时:
- 「帮我打给 1XXXXXXXXXX 预订餐厅, 餐厅 xx, 时间 xx, 几人 xx」
- 「让机器人催一下这批欠费用户」
- 「帮我做一次满意度回访」
- 「查一下昨天那批外呼任务的结果」
环境变量
按以下优先级解析鉴权 (与其他 vms-* skill 一致):
ARK_SKILL_API_KEY+ARK_SKILL_API_BASE→ 火山引擎 arkclaw 企业版. 请先在火山后台页面配置好 AK/SK, 由 arkclaw 注入这两个环境变量 (ARK_SKILL_API_KEY为 API 密钥,ARK_SKILL_API_BASE为 API 基础地址), 脚本以Bearer鉴权直连该网关, 无需本地签名;VOLC_ACCESS_KEY+VOLC_SECRET_KEY(兼容VOLCENGINE_ACCESS_KEY/VOLCENGINE_SECRET_KEY) → 个人版 arkclaw / openclaw / coco / aime / claudecode 等普通 agent, 用户直接把 AK/SK 告诉 agent, 脚本本地做 HMAC-SHA256 (Volc V4) 签名;- 否则报错并提示用户填入 AK/SK.
命令
# 1. 查询可用话术 (GET, 无参或可选 --scene)
python3 scripts/aicall.py list_scripts [--scene restaurant_booking]
# 2. 创建外呼任务 (POST, PhoneList 是对象数组, 由脚本根据 --phone-list + --variable-values 构造)
python3 scripts/aicall.py create_task \
--script-id <ScriptId> \
--phone-list "<PhoneA>,<PhoneB>" \
--variable-values '{"餐厅":"必胜客","时间":"2026-05-29 18:00","人数":"3","备注":"靠窗"}'
# 3. 查询任务进度 / 通话结果 (GET)
python3 scripts/aicall.py query_task --task-id <TaskId>
标准执行流程
- 从用户语义里抽取「目标号码 + 任务意图 + 关键变量」.
list_scripts找匹配话术. 如果无, 给出已有话术列表让用户选, 或提示去控制台创建话术: https://console.volcengine.com/cloud_vms/aicall .- 直接调用
create_task创建任务, 返回TaskId. 无需选号码池: 平台按话术绑定的默认号码池自动选号. - 用户后续问进度时, 用
query_task拉结果, 返回任务进度、通话明细 (含 ASR、意图标签、通话时长等).
错误兜底
RESOURCE_NOT_FOUND(话术不存在) → 返回当前可用话术列表.- 鉴权失败 → 提示检查 AK/SK. 普通 agent (个人版 arkclaw / openclaw / coco / aime / claudecode) 检查
VOLC_ACCESS_KEY/VOLC_SECRET_KEY; 火山引擎 arkclaw 企业版需先在火山后台页面配置好 AK/SK, 再确认ARK_SKILL_API_KEY/ARK_SKILL_API_BASE已注入.
参考
- 火山云通信智能外呼官方文档: https://www.volcengine.com/docs/6358
📚 基础知识 / 参数传递参考
调用任何 action 前 (尤其是 create_task 的 PhoneList / VariableValues 字段构造),
请先阅读本 skill 内置的本地基础知识文档:
references/vms-fundamentals.md
该文档覆盖 SubServiceType 枚举 / 号码状态映射 / CallId 格式 / 录音 CDN / 出口 IP 白名单等通用规范, 所有 vms-* skill 共用同一份内容. 本地文件在外网受限 环境也能用, 性能优于远程拉取. 若需对照原始版本, 可回看飞书原文: https://bytedance.sg.larkoffice.com/docx/Mv32dc0yooBn7txDxW8lsDdDgYb
What ships with it
4 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 · 90 lines · 68 tokens per session scan A c59cbd41184f
byted-vms-aicall is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 5d ago), licensed Apache-2.0. It adds 68 tokens to every session and 1,232 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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