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-video-enhancementgit 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-video-enhancement)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-byteplus-vod-video-enhancement"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-byteplus-vod-video-enhancement/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-byteplus-vod-video-enhancement"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-byteplus-vod-video-enhancement.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 | $0.00169 | $0.03844 |
| Opus 5 | $0.00084 | $0.01922 |
| Sonnet 5 | $0.00034 | $0.00769 |
| Haiku 4.5 | $0.00017 | $0.00384 |
Grade A, and why
byted-byteplus-vod-video-enhancement 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 11d 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VOD_video enhancement
Uploads video/audio to a BytePlus VOD space (from a local file or a public URL) and returns a vid://vxxxx reference. Additionally provides AI-based comprehensive quality restoration that removes compression artifacts, noise, and scratches from ingested videos, improving overall clarity and color rendition.
Prerequisites
- Environment variables (required, can be configured via a
.envfile in the working directory — the scripts will load it automatically):BYTEPLUS_ACCESSKEY— BytePlus Access KeyBYTEPLUS_SECRETKEY— BytePlus Secret KeyVOD_SPACE_NAME— VOD space name
- Execution: examples use
uv run python ...(if the host environment can run Python directly,python scripts/...also works).
Workflow Overview
Upload pipeline (local file):
[S1_APPLY] ApplyUploadInfo → returns TOS upload address + SessionKey
[S2_TOS] PUT file to TOS (direct or chunked)
[S3_COMMIT] CommitUploadInfo → returns Vid
Output: { Vid, Source, PlayURL, FileName, SpaceName, SourceUrl }
Upload pipeline (URL):
[S1_UPLOAD] Submit URL upload job (UploadMediaByUrl) → returns JobId
[S2_POLL] Poll QueryUploadTaskInfo → returns Vid
Output: { Vid, Source, PlayURL, FileName, SpaceName, SourceUrl, JobId }
Quality restoration pipeline:
[S3_ENHANCE] Submit restoration job (StartExecution/enhanceVideo) → returns RunId
[S4_POLL] Poll GetExecution → returns the restored file
Output: { Status, SpaceName, VideoUrls[{ FileId, DirectUrl, Source }] }
Quick Self-Check (recommended)
Before running any script, confirm the following (avoid unrelated Python/uv version checks):
.envor environment variables contain:BYTEPLUS_ACCESSKEY+BYTEPLUS_SECRETKEYVOD_SPACE_NAME
Once verified, pick the corresponding pipeline based on user intent:
| User intent | Pipeline | Entry script |
|---|---|---|
| Upload video to VOD | Upload pipeline | scripts/upload.py |
| Quality restoration / denoise / remove compression artifacts | Quality restoration pipeline | scripts/quality_enhance.py |
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.
- 11d ago First seen · 308 lines · 169 tokens per session scan A 8abd79189587
byted-byteplus-vod-video-enhancement is a skill published in the GitHub repository bytedance/agentkit-samples (453 stars, last pushed 2d ago), licensed Apache-2.0. It adds 169 tokens to every session and 3,844 once invoked, about $0.0008 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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