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Agent Skill · 效率

happyhorse-video-gen-edit(Happyhorse 视频生成编辑)

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

happyhorse-video-gen-edit 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 20,236。

总安装 1,623周安装 69GitHub Stars 公开资料未说明下载 569核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:happyhorse-video-gen-edit(Happyhorse 视频生成编辑)
来源仓库:https://github.com/krisyejh/happyhorse-video-gen-edit
安装命令:
openclaw skills install happyhorse-video-gen-edit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install happyhorse-video-gen-edit

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

使用 HappyHorse 模型生成与编辑视频内容。支持 text2video、image2video 与 reference2video。提供多帧角色融合与运动一致性保障。需指定分辨率、时长与素材路径参数。商业用途应核查版权授权合规性。

happyhorse-video-gen-edit 属于效率类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install happyhorse-video-gen-edit;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

happyhorse-video-gen-edit 怎么安装?

在终端执行 openclaw skills install happyhorse-video-gen-edit。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

happyhorse-video-gen-edit 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

happyhorse-video-gen-edit 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

happyhorse-video-gen-edit 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

happyhorse-video-gen-edit 用的人多吗?

公开数据是累计安装 1,623 次,近一周安装 69 次,下载 569 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

happyhorse-video-gen-edit 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
happyhorse-video-gen-edit

Happyhorse 视频生成编辑 · 本页

1,623—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
happyhorse-video-gen-edit
description
Video Generation and Editing with HappyHorse models. Supports text2video, image2video (first-frame based), reference2video (multi-image character fusion), and video editing capabilities.
homepage
https://bailian.console.aliyun.com/cn-beijing?tab=model#/model-market
metadata
{"clawdbot":{"emoji":"🐴","requires":{"bins":["python3"],"env":["DASHSCOPE_API_KEY"]},"primaryEnv":"DASHSCOPE_API_KEY"},"author":"KrisYe"}

HappyHorse Video Models

HappyHorse Video Models, created by Alibaba Group, are video generation and editing models. This skill integrates with HappyHorse Model APIs on ModelStudio (Bailian-Alibaba Model Service Platform).

Model Overview

ModelCapabilitiesResolutionDuration
happyhorse-1.0-t2vText to Video720P, 1080P3-15s
happyhorse-1.0-i2vFirst-frame Image to Video720P, 1080P3-15s
happyhorse-1.0-r2vReference images to video, Multi-character fusion720P, 1080P3-15s
happyhorse-1.0-video-editVideo editing, Style transfer, Reference-based edit720P, 1080P3-15s (output)

Text to Video Generation (happyhorse-1.0-t2v)

Generate videos from text prompts.

text2video task-submit

python3 {baseDir}/scripts/happyhorse-magic.py text2video-gen --prompt "一座由硬纸板和瓶盖搭建的微型城市,在夜晚焕发出生机" --resolution "720P" --ratio "16:9" --duration 5
python3 {baseDir}/scripts/happyhorse-magic.py text2video-gen --prompt "一只可爱的小猫将军站在悬崖上,远处是壮丽的雪山" --resolution "1080P" --ratio "16:9" --duration 10
python3 {baseDir}/scripts/happyhorse-magic.py text2video-gen --prompt "海浪拍打岩石的慢镜头" --resolution "720P" --ratio "9:16" --duration 8 --no-watermark

Options

  • --prompt: Text prompt for video generation (required, max 5000 non-Chinese chars or 2500 Chinese chars)
  • --resolution: Video resolution - 720P or 1080P (default: 1080P)
  • --ratio: Aspect ratio - 16:9, 9:16, 1:1, 4:3, 3:4 (default: 16:9)
  • --duration: Video duration in seconds, 3-15 (default: 5)
  • --no-watermark: Disable "Happy Horse" watermark (default: enabled)
  • --seed: Random seed for reproducibility [0, 2147483647]

text2video tasks-get (round-robin)

python3 {baseDir}/scripts/happyhorse-magic.py text2video-get --task-id "<TASK_ID_FROM_VIDEO_GEN>"

Image to Video Generation (happyhorse-1.0-i2v)

Generate video from a first-frame image. Output aspect ratio automatically follows the input image.

First-frame to Video

python3 {baseDir}/scripts/happyhorse-magic.py image2video-gen --prompt "一只猫在草地上奔跑" --first-frame "https://example.com/cat.png" --resolution "720P" --duration 5
python3 {baseDir}/scripts/happyhorse-magic.py image2video-gen --first-frame "https://example.com/landscape.jpg" --resolution "1080P" --duration 10
python3 {baseDir}/scripts/happyhorse-magic.py image2video-gen --prompt "花朵缓缓绽放" --first-frame "https://example.com/flower.png" --duration 8 --no-watermark

Options

  • --prompt: Text prompt for video generation (optional but recommended)
  • --first-frame: First frame image URL (required). Format: JPEG/JPG/PNG/WEBP, min 300px per side, max 10MB.
  • --resolution: Video resolution - 720P or 1080P (default: 1080P). Output ratio follows input image.
  • --duration: Video duration in seconds, 3-15 (default: 5)
  • --no-watermark: Disable "Happy Horse" watermark (default: enabled)
  • --seed: Random seed for reproducibility [0, 2147483647]

Note: There is no --ratio parameter. The output video aspect ratio automatically follows the input first-frame image.

image2video tasks-get (round-robin)

python3 {baseDir}/scripts/happyhorse-magic.py image2video-get --task-id "<TASK_ID_FROM_VIDEO_GEN>"

Reference to Video Generation (happyhorse-1.0-r2v)

Generate video from reference images as character/object sources. Use "character1", "character2", etc. in the prompt to reference images by their array order.

Multi-character Reference

python3 {baseDir}/scripts/happyhorse-magic.py reference2video-gen --prompt "身着红色旗袍的女性character1,镜头以侧面中景勾勒旗袍修身剪裁" --reference-images "https://example.com/girl.jpg" --resolution "720P" --ratio "16:9" --duration 5
python3 {baseDir}/scripts/happyhorse-magic.py reference2video-gen --prompt "身着红色旗袍的女性character1,轻抬玉手展开折扇character2时流苏耳坠character3随头部转动轻盈摆动" --reference-images "https://example.com/girl.jpg" "https://example.com/fan.jpg" "https://example.com/earrings.jpg" --resolution "720P" --ratio "16:9" --duration 5
python3 {baseDir}/scripts/happyhorse-magic.py reference2video-gen --prompt "character1在海边散步,阳光洒在沙滩上" --reference-images "https://example.com/person.png" --resolution "1080P" --ratio "16:9" --duration 10

Options

  • --prompt: Text prompt with character references (required, max 5000 non-Chinese chars). Use "character1/character2/..." to reference images in array order.
  • --reference-images: Reference image URLs (required, 1-9 images). The 1st image = character1, 2nd = character2, etc.
  • --resolution: Video resolution - 720P or 1080P (default: 1080P)
  • --ratio: Aspect ratio - 16:9, 9:16, 1:1, 4:3, 3:4 (default: 16:9)
  • --duration: Video duration in seconds, 3-15 (default: 5)
  • --no-watermark: Disable "Happy Horse" watermark (default: enabled)
  • --seed: Random seed for reproducibility [0, 2147483647]

Note: Reference images should have short side >= 400px. Avoid low-resolution, blurry, or heavily compressed images.

reference2video tasks-get (round-robin)

python3 {baseDir}/scripts/happyhorse-magic.py reference2video-get --task-id "<TASK_ID_FROM_VIDEO_GEN>"

Video Editing (happyhorse-1.0-video-edit)

Edit existing videos with text instructions and optional reference images. Supports style transfer, local replacement, and other editing tasks.

Instruction-based Editing

python3 {baseDir}/scripts/happyhorse-magic.py video-edit --prompt "将场景变成夜晚,添加霓虹灯效果" --video "https://example.com/video.mp4" --resolution "720P"
python3 {baseDir}/scripts/happyhorse-magic.py video-edit --prompt "为人物换上酷闪的衣服" --video "https://example.com/original.mp4"

Reference Image-based Editing

python3 {baseDir}/scripts/happyhorse-magic.py video-edit --prompt "让视频中的角色穿上图片中的条纹毛衣" --video "https://example.com/video.mp4" --reference-images "https://example.com/clothes.webp"
python3 {baseDir}/scripts/happyhorse-magic.py video-edit --prompt "将背景替换为参考图中的场景" --video "https://example.com/video.mp4" --reference-images "https://example.com/bg.jpg" --resolution "720P"

Options

  • --prompt: Editing instruction (required, max 5000 non-Chinese chars)
  • --video: Input video URL to edit (required, mp4/mov, 3-60s input, output max 15s)
  • --reference-images: Reference image URLs for editing (optional, 0-5 images)
  • --resolution: Output resolution - 720P or 1080P (default: 1080P)
  • --audio-setting: Audio handling - auto (default) or origin (keep original audio)
  • --no-watermark: Disable "Happy Horse" watermark (default: enabled)
  • --seed: Random seed for reproducibility [0, 2147483647]

Note: Output aspect ratio and duration follow the input video. No --ratio or --duration parameters. If input video > 15s, system auto-truncates to first 15s.

video-edit tasks-get (round-robin)

python3 {baseDir}/scripts/happyhorse-magic.py video-edit-get --task-id "<TASK_ID_FROM_VIDEO_EDIT>"

Key Differences from Wan 2.7

FeatureHappyHorseWan 2.7
Watermark defaultEnabled ("Happy Horse")Disabled ("AI Generated")
prompt_extendNot supportedSupported
negative_promptNot supportedSupported
seed parameterSupported (all models)Supported (all models)
I2V modesFirst-frame onlyFirst-frame, First+Last-frame, Video continuation
R2V reference typeImages only (character1/2)Videos + Images (视频1/图片1)
R2V reference count1-9 imagesMax 3 videos + 5 images
Video Edit input3-60s, output max 15s2-10s
Video Edit promptRequiredOptional

Important Notes

  • Task ID Validity: Task IDs are valid for 24 hours
  • Video URL Validity: Generated video URLs are valid for 24 hours, download immediately
  • Content Review: Both input and output are subject to content safety review
  • Billing: Based on resolution (1080P > 720P) × duration (seconds)
  • Watermark: Default enabled with "Happy Horse" text; use --no-watermark to disable

平台分布

OpenClaw

75.21%
按下载量换算428

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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