byted-las-video-edit

byted-las-video-edit is a skill for Claude Code, Codex from bytedance/agentkit-samples. It costs 69 tokens per session (963 once invoked), scanned A, original, Apache-2.0.

A video editing tool that finds and extracts clips from longer videos based on a plain-language description, with optional reference images for matching people or objects.

In plain words
What is it for?
Use it to find clips containing specified people, objects, events, or other moments and assemble selected footage.
Why use it?
It avoids searching through a long video by hand for particular scenes, subjects, or highlights.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to find clips containing specified people, objects, events, or other moments and assemble selected footage.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bytedance/agentkit-samples/byted-las-video-edit
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-edit
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-edit

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-las-video-edit"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-las-video-edit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 963 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 $0.00069 $0.00963
Opus 5 $0.00034 $0.00481
Sonnet 5 $0.00014 $0.00193
Haiku 4.5 $0.00007 $0.00096

Measured 6d ago against content hash a30a1c91998a, 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-edit 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.

skills/byted-las-video-edit/SKILL.md · 92 lines

What it actually says

智能视频剪辑 (las_video_edit)

当用户希望通过自然语言描述来剪辑、裁剪或检索视频内容时使用本 Skill。

注意事项(⚠️ 必须遵守)

  • 千万不要让用户输入 AccessKey 和 SecretKey。
  • 下载文件只能使用 las-cli tos download 命令(兼容 tos 和非 tos 资源)。
  • las-cli operators calllas-cli price 命令的输出结果非常重要,必须完整返回给用户。

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: 执行任务并呈现结果
- [ ] Step 4: 失败排查

Step 0: 前置检查

  • 版本检查(必须):请执行 las-cli install 0.3.8。若 las-cli 命令不存在,则执行 npm i -g "@volcengine/[email protected]"
  • 新版本提醒:请执行 npm info @volcengine/las-cli version 查看当前可用的最新 Skill 版本(las-cli 与 Skill 版本一一对应)。若返回版本高于本 Skill 标注版本,请先提示用户升级当前 Skill。升级方式:请用户发送自然语言指令 帮我安装byted-las-video-edit技能,等待自动完成安装即可。
  • 认证检查:优先使用运行时自动注入的平台身份;若当前环境未自动注入,再运行 las-cli config show 确认旧版凭证 las.apiKeyvolcengine.region 已配置。

Step 1: 初始化与准备

  • 上传资源: 若输入为本地视频,先上传到 TOS。
  • 准备参数: 创建 params.json,包含输入、输出和剪辑指令。
    {
      "input_path": "tos://my-bucket/inputs/xxx.mp4",
      "output_path": "tos://my-bucket/outputs/video_edit/",
      "query": "找出所有包含猫的片段"
    }
    

Step 2: 预估价格(⚠️ 必须获得用户确认)

las-cli price 命令的输出结果非常重要,不要做任何精简、修改或摘要处理。

  • 算价: 必须完整返回以下命令输出的结果(markdown 格式)
    las-cli price las_video_edit \
      --params-file ./params.json \
      --format markdown
    
  • 用户确认: 输出预估价格后,必须等待用户确认

Step 3: 执行任务并呈现结果(⚠️ 直接输出命令执行结果,不要精简)

las-cli operators call 命令的输出结果非常重要,不要做任何精简、修改或摘要处理。

  • 执行: 必须完整返回以下命令输出的结果(markdown 格式)
    las-cli operators call las_video_edit \
      --params-file ./params.json \
      --format markdown \
      --out ./result.md
    

Step 4: 失败排查

保持原样。

  • 检查任务状态: las-cli task status <task_id>
  • 检查输入: 确认 input_path 可访问。
  • 检查配置: las-cli config show
Files

What ships with it

1 file 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 · 92 lines · 69 tokens per session scan A a30a1c91998a

Subscribe to this mod's changes

byted-las-video-edit is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 5d ago), licensed Apache-2.0. It adds 69 tokens to every session and 963 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.

Related

Other skills, from other repositories

image-generation

Use this skill when the user requests to generate, create, imagine, or visualize images including characters, scenes, products, or any visual content. Supports structured prompts and reference images for guided generation.

bytedance/deer-flow · 42 tokens

podcast-generation

Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.

bytedance/deer-flow · 38 tokens

brandkit

Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional…

Leonxlnx/taste-skill · 89 tokens

sn-image-base

Base-layer skill for the SenseNova-Skills project, providing low-level APIs for image generation, recognition (VLM), and text optimization (LLM). This skill does not preprocess inputs; it only calls backend services and returns results. This skill is not user-facing and is intended for upper-layer skills only.

OpenSenseNova/SenseNova-Skills · 66 tokens

video-still-animator

Turn a single still image (PNG/JPG) into a short MP4 with a slow Ken-Burns zoom and a silent audio track. Pure ffmpeg wrapper. Designed as the onfailure substitute for AI video-gen steps that get blocked by content moderation: when seedance refuses, this skill emits a valid replacement clip from the already-generated…

opensquilla/opensquilla · 88 tokens

spotify-player

Terminal Spotify playback/search via spogo (preferred) or spotifyplayer. Use when the user asks to play music, search for a song, skip a track, pause playback, check what is currently playing, control Spotify, list audio devices, or manage a Spotify queue from the terminal.

elizaOS/eliza · 60 tokens