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clipping-video-highlights

Name: clipping-video-highlights
Author: freak30

作者 freak30 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install clipping-video-highlights

功能描述

长视频（YouTube链接/本地视频）→ N个短高光片段+烧字幕+AI封面。100%免费方案：yt-dlp字幕提取+MiniMax LLM选高光+MiniMax图片生成封面+ffmpeg剪辑。

使用说明 (SKILL.md)

长视频高光剪辑技能（免费方案）

零成本复刻Clawvard clipping-video-highlights，不花一分钱。

适用场景

YouTube视频 → 抖音/小红书高光片段
播客/讲座/直播回放 → 短高光剪辑
本地视频批量剪辑

核心流程（4步）

Step 1: yt-dlp --write-subs  → 自动提取YouTube字幕（免费）
Step 2: MiniMax LLM          → 从字幕文本选高光时间点（已有配额）
Step 3: MiniMax图片生成      → AI生成封面（已有配额）
Step 4: ffmpeg剪辑+烧字幕    → 输出成品短视频

使用方法

python3 clipper.py \x3CYouTube_URL> \x3C输出目录> [片段数量]

# 示例：
python3 clipper.py "https://www.youtube.com/watch?v=xxx" "./output" 5

依赖

ffmpeg / ffprobe — 视频处理
yt-dlp — 字幕提取
MiniMax API（已有：sk-cp-qLf6tET6ParE9D35M3O0_5TE）
腾讯COS（已有配置）

输出

cover.jpg — AI生成封面
clip_01.mp4, clip_02.mp4, ... — 剪辑成品（含烧字幕）

安全使用建议

Review the MiniMax credential situation before installing or running this skill. Prefer a version that removes embedded keys, declares required tools and credentials, and clearly explains that transcript text is sent to MiniMax. Use a dedicated output folder and avoid private videos unless you accept the external provider data flow.

功能分析

Type: OpenClaw Skill Name: clipping-video-highlights Version: 1.0.0 The skill bundle contains a hardcoded MiniMax API key (sk-cp-qLf6tET6ParE9D35M3O0_5TE) and claims to be a 'free replica' of a paid service, which is a common indicator of grayware or potentially compromised tools. The script clipper.py relies on an external, non-standard CLI utility named 'mmx' for LLM and image generation tasks, which is not a standard dependency and its origin is unverified. Additionally, the documentation in SKILL.md mentions Tencent COS configurations that are entirely absent from the provided code, suggesting either incomplete implementation or undisclosed external interactions.

能力评估

ℹ Purpose & Capability

The main YouTube-to-clips workflow is coherent with the description, but the artifacts also claim local video and Tencent COS support while the code only implements YouTube subtitle/section downloading and does not use COS.

⚠ Instruction Scope

SKILL.md presents a MiniMax API key/quota as already available, while registry metadata declares no credentials; users cannot tell whose account is used or what scope applies.

ℹ Install Mechanism

There is no install spec and metadata declares no required binaries, but the code requires ffmpeg, ffprobe, yt-dlp, and an mmx CLI; package.json also contains an unused npm dependency.

⚠ Credentials

External provider use is purpose-aligned for AI highlight selection and cover generation, but transcript sharing and MiniMax credential handling are not clearly declared or bounded.

ℹ Persistence & Privilege

No background persistence or self-starting behavior is shown; privilege risk is mainly the undeclared provider/API credential use rather than local persistence.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install clipping-video-highlights
安装完成后，直接呼叫该 Skill 的名称或使用 /clipping-video-highlights 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release

元数据

Slug clipping-video-highlights

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题