byted-las-video-resize

byted-las-video-resize is a skill for Claude Code, Codex from bytedance/agentkit-samples. It costs 190 tokens per session (1,993 once invoked), scanned A, original, Apache-2.0.

A video conversion tool that changes a video's resolution and dimensions, such as making it larger, smaller, or suitable for another screen.

In plain words
What is it for?
Use it to resize or scale videos for different platforms, devices, and display formats.
Why use it?
It removes the need to configure video resizing and aspect-ratio settings by hand.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to resize or scale videos for different platforms, devices, and display formats.

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Install with agentmods
npx agentmods add skills/bytedance/agentkit-samples/byted-las-video-resize
About the project

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.

bytedance/agentkit-samples · 450 stars · on GitHub

Install

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.

Any agent
npx skills add bytedance/agentkit-samples --skill byted-las-video-resize
Clone the repo
git clone --depth 1 https://github.com/bytedance/agentkit-samples

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for byted-las-video-resize

README.md
[![agentmods](https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-las-video-resize/github.svg)](https://agentmods.dev/skills/bytedance/agentkit-samples/byted-las-video-resize)
Your own site
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-las-video-resize"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-las-video-resize/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.

agentmods 80×15 button for byted-las-video-resize

Your own site · 80×15
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-las-video-resize"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-las-video-resize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 190 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,993 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00190 $0.01993
Opus 5 $0.00095 $0.00996
Sonnet 5 $0.00038 $0.00399
Haiku 4.5 $0.00019 $0.00199

Measured 6d ago against content hash 03700903367d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

byted-las-video-resize 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.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/check_format.sh, scripts/env_init.sh, scripts/generate_result.md.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/byted-las-video-resize/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LAS 视频分辨率调整(las_video_resize

将视频调整到指定分辨率范围,支持宽高比保持策略和 GPU NVENC 编码。

设计模式

本 skill 主要采用:

  • Tool Wrapper:封装 lasutil CLI 调用
  • Pipeline:包含 Step 0 → Step N 的顺序工作流

核心 API 与配置

  • 算子 ID: las_video_resize
  • API: 异步(submitpoll
  • 环境变量: LAS_API_KEY (必填)

详细参数与接口定义见 references/api.md

Gotchas

  • 强制固定尺寸:需要设置 min_width=max_widthmin_height=max_height,并将 force_original_aspect_ratio_type=disable
  • 密钥安全:若聊天框屏蔽密钥,让用户在当前目录创建 env.sh 并写入 export LAS_API_KEY="...",SDK 会自动读取。
  • 免责声明:最终回复结果时必须包含:"本方式的计费均为预估计费,与实际费用有差距,实际费用以运行后火山产生的账单为准。计费说明请参考 Volcengine LAS 定价。",且禁止使用"实际费用"字眼描述预估价。

工作流(严格按步骤执行)

复制此清单并跟踪进度:

执行进度:
- [ ] Step 0: 前置检查
- [ ] Step 1: 初始化与准备
- [ ] Step 2: 预估价格
- [ ] Step 3: 提交任务
- [ ] Step 4: 异步查询
- [ ] Step 5: 结果呈现

Step 0: 前置检查(⚠️ 必须在第一轮对话中完成)

在接受用户的任务后,不要立即开始执行,必须首先进行以下环境检查:

  1. 检查 LAS_API_KEYLAS_REGION:确认环境变量或 .env 中是否已配置。
    • 若无,必须立即向用户索要(提示:LAS_REGION 常见为 cn-beijing)。
    • 注意LAS_REGION 必须与您的 API Key 及 TOS Bucket 所在的地域完全一致。如果用户中途切换了 Region,必须提醒用户其 TOS Bucket 也需对应更换,否则会导致权限异常或上传失败。
  2. 检查输入路径
    • 如果用户要求处理的是本地文件,则需要先通过 File API 上传至 TOS(只需 LAS_API_KEY,无需额外 TOS 凭证)。
    • 如果算子的输出结果存放在 TOS 上,且用户需要下载回本地,则需要 VOLCENGINE_ACCESS_KEYVOLCENGINE_SECRET_KEY。对于仅需要上传输入文件的场景,TOS 凭证不再必须
  3. 检查输出路径
    • output_tos_dir 为必填参数,必须由用户提供自己可写的 TOS 目录路径(格式:tos://bucket/output_dir/)。
    • 服务端需要将缩放后的视频写入此目录。
  4. 确认无误后:才能进入下一步。

Step 1: 初始化与准备

环境初始化(Agent 必做)

# 执行统一的环境初始化与更新脚本(会自动创建/激活虚拟环境,并检查更新)
source "$(dirname "$0")/scripts/env_init.sh" las_video_resize
workdir=$LAS_WORKDIR

如果网络问题导致更新失败,脚本会跳过检查,使用本地已安装的 SDK 继续执行。

  • 处理本地文件时:使用 File API 上传(只需 LAS_API_KEY,无需 TOS 凭证和 Bucket):
    lasutil file-upload <local_path>
    
    上传成功后返回 JSON,取其中的 presigned_url(HTTPS 预签名下载链接,24 小时有效)传给算子作为输入 URL。

Step 2: 预估价格(⚠️ 必须获得用户确认)

  1. 读取 references/prices.md 获取最新计费标准。
  2. 获取视频信息(时长、编码、分辨率):
    lasutil media-duration <video_url>
    
  3. 根据档位查表计算总价,将计费单价与预估总价一并告知用户并强制暂停执行,明确等待用户回复确认。在用户明确回复"继续"、"确认"等同意指令前,绝对禁止进入下一步(执行/提交任务)。提示:预估仅供参考,实际以火山账单为准。计费说明请参考 Volcengine LAS 定价

Read the full file on GitHub · 153 lines

Files

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.

Changes

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.

  1. 6d ago First seen · 153 lines · 190 tokens per session scan A 03700903367d

Subscribe to this mod's changes

byted-las-video-resize is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 5d ago), licensed Apache-2.0. It adds 190 tokens to every session and 1,993 once invoked, about $0.0010 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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