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-byteplus-vod-frame-extractiongit 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-byteplus-vod-frame-extraction)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-byteplus-vod-frame-extraction"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-byteplus-vod-frame-extraction.svg" alt="Measured on agentmods" 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 | $0.00125 | $0.02377 |
| Opus 5 | $0.00063 | $0.01189 |
| Sonnet 5 | $0.00025 | $0.00475 |
| Haiku 4.5 | $0.00013 | $0.00238 |
Grade A, and why
byted-byteplus-vod-frame-extraction 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VOD frame extraction
Uploads video/audio to a BytePlus VOD space (from a local file or a public URL) and returns a vid://... reference. For media already in VOD, submits Snapshot tasks (StartExecution -> Operation.Task.Type: Snapshot) for frame extraction.
Product scope
| Aspect | Behaviour |
|---|---|
| Input | Vid or DirectUrl (JSON field video) |
| Extraction strategy | Default: specified time at 0 ms. Supported: specified time, fixed interval, specified frames, scene-change detection. |
| Target image size | Default resolution: 720p because the API Snapshot Target requires a resolution. Optional scale_long / scale_short. |
| Sprite image | Optional sprite / sprite_config. |
| Output index mode | Optional output_mode: Files or Index. |
| Advanced API fields | Use snapshot for complete passthrough or snapshot_options to deep-merge extra fields into generated Snapshot. |
If the user does not specify a strategy, use specified time at 0 ms. If they ask for multiple thumbnails but do not provide times, ask for the timestamps or use fixed interval only when they explicitly request evenly-spaced extraction.
Prerequisites
- Environment variables (required; optionally place a
.envin the working directory — scripts load it automatically):BYTEPLUS_ACCESSKEY— BytePlus Access KeyBYTEPLUS_SECRETKEY— BytePlus Secret KeyVOD_SPACE_NAME— VOD space name
- Environment template: see
scripts/env.md. - Execution: examples use
uv run python ...(python scripts/...works if deps are installed).
Workflow overview
Upload pipeline (local file):
[S1_APPLY] ApplyUploadInfo -> TOS upload address + SessionKey
[S2_TOS] PUT file to TOS (direct or chunked)
[S3_COMMIT] CommitUploadInfo -> Vid
Output: { Vid, Source, PlayURL, FileName, SpaceName, SourceUrl }
Upload pipeline (URL):
[S1_UPLOAD] Submit URL upload job (UploadMediaByUrl) -> JobId
[S2_POLL] Poll QueryUploadTaskInfo -> Vid
Output: { Vid, Source, PlayURL, FileName, SpaceName, SourceUrl, JobId }
Snapshot pipeline:
[S3_SNAPSHOT] Submit frame extraction task (StartExecution / Task.Type Snapshot) -> RunId
[S4_POLL] Poll GetExecution -> output snapshot files / raw Snapshot output
Output: { Status, SpaceName, ImageUrls[], Snapshot }
What ships with it
9 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 · 224 lines · 125 tokens per session scan A 84bde5c5fd64
byted-byteplus-vod-frame-extraction is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 4d ago), licensed Apache-2.0. It adds 125 tokens to every session and 2,377 once invoked, about $0.0006 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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