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-podcast-gengit 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-podcast-gen)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-podcast-gen"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-podcast-gen/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-podcast-gen"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-podcast-gen.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 | $0.01347 |
| Opus 5 | $0.00023 | $0.00674 |
| Sonnet 5 | $0.00009 | $0.00269 |
| Haiku 4.5 | $0.00005 | $0.00135 |
Grade A, and why
byted-podcast-gen 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 7d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Podcast Skill
基于火山引擎豆包语音合成 WebSocket 协议（PodcastTTS，/api/v3/sami/podcasttts）将某个话题合成为播客音频并保存为本地文件。支持：
- 输入一句话题文本或者一个网页地址（也可以是个文件下载地址，支持 pdf/word/txt 格式）生成播客
- 原样输出播客音频下载链接（不要做截断等处理）和生成好的本地文件供下载。验证下载链接是否可下载，若可下载则返回给用户，不可下载的只是只返回本地文件。
- 输出播客分段文本（JSON）
适用场景
- 用户提到
生成播客或播客合成等相关关键词。 - 用户需要为某个话题生成播客形式的音频文件。
- 用户需要某个网页或文件内容生成播客形式的音频文件。
- 用户需要为用户上传的文件内容或者一个长上下文生成播客形式的音频文件。
强制规则（最高优先级）
当你收到用户请求生成播客时：
- 必须且只能使用 本 Skill 的脚本来生成播客
- 话题模式 用户需要为某个话题生成播客形式的音频文件， 使用参数
action=4和prompt_text= 话题文本。 - 网页模式 用户需要某个网页或可下载文件内容生成播客形式的音频文件， 使用参数
action=0和input_url= 网页地址或文件下载地址。 - 文件模式 用户需要为用户上传的文件内容或者一个长上下文生成播客形式的音频文件， 使用参数
action=0和text= 用户上传文件读取出来的内容或者是一段比较长的文本，一般超过 200 个字。
使用步骤
- 分析用户需要合成播客的内容，准备要合成的输入：
prompt_text（原始话题，一般不超过 20 个字）或input_url（网页地址或文件下载地址） 或者text（用户上传文件读取出来的内容或者是一个比较长的文本，一般超过 200 个字）。 - 运行脚本前先
cd到本技能目录：skills/byted-podcast-gen。 - 配置鉴权（环境变量或命令行参数）。
- 执行脚本：
python scripts/podcast.py [参数]。参考下面示例部分。 - 根据脚本输出的 JSON 里的
audio_path/texts/audio_url使用生成结果，如果有audio_url是一个带过期时间的 URL, 原封不动的返回给用户,audio_path是本地文件路径, 可以给用户提供下载。
脚本参数
| 参数 | 简写 | 必填 | 说明 |
|---|---|---|---|
--text |
否 | 输入原始长文本（action=0 时使用） |
|
--input_url |
否 | 输入文本的 URL（action=0 时使用，二选一） |
|
--prompt_text |
否 | 提示词文本（action=4 时必填） |
|
--action |
否 | 播客类型：0(原始文本/URL)、4(prompt)；默认 4 |
|
--speaker_info |
否 | 说话人配置 JSON（默认 {"random_order":false}） |
|
--encoding |
否 | 音频格式：mp3（默认）、wav、ogg_opus |
|
--output |
否 | 最终音频输出文件路径（默认自动生成到 output/） |
返回值说明
脚本输出 JSON，包含：
status:"success"或"error"task_id: 任务标识（用于定位一次生成任务）audio_path: 最终音频本地路径texts: 分段文本 JSON 字符串，每个发音人对应的文本列表。audio_url: 服务端返回的音频下载地址error: 失败时的错误信息
错误处理
- 若报错提示缺少
MODEL_SPEECH_API_KEY：检查环境变量或命令行参数是否已配置，不存在的时候提示用户输入, 然后设置到环境变量。 - 若收到服务端错误（
MsgType.Error）：根据错误信息检查账号权限、资源 ID、输入内容及是否已开通服务。 - 若收到服务端错误包含关键字
quota说明当前账号已超量，需升级火山引擎豆包语音的播客服务。 - python 执行缺少相关 package 时，需要先安装依赖：
pip install -r requirements.txt
What ships with it
6 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.
- 7d ago First seen · 73 lines · 45 tokens per session scan A 6c63310fdb1c
byted-podcast-gen 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 1,347 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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