Token导航 LogoToken导航TokenDH.com
前端设计敏感数据github未标认证来源可访问许可证需确认审计提醒

aliyun-wan-videoedit阿里云视频编辑

Agent Skill

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。

总安装

720

周安装

30

GitHub Stars

383

下载量

240
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:aliyun-wan-videoedit(阿里云视频编辑)
来源仓库:https://github.com/cinience/alicloud-skills
仓库路径:skills/aliyun-wan-videoedit
安装命令:
npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-wan-videoedit
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-wan-videoedit

简介

aliyun-wan-videoedit 实现视频剪辑与特效编辑功能。

  • 支持镜头拼接、转场添加与风格化处理,适用于 Remotion 等项目。
  • 需安装 DashScope SDK 并配置 API 密钥,输出编辑后视频链接。
  • 使用外部素材时应确保版权许可与内容审核合规。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Wan 2.7 Video Editing

Validation

mkdir -p output/aliyun-wan-videoedit
python -m py_compile skills/ai/video/aliyun-wan-videoedit/scripts/edit_video.py && echo "py_compile_ok" > output/aliyun-wan-videoedit/validate.txt

Pass criteria: command exits 0 and output/aliyun-wan-videoedit/validate.txt is generated.

Output And Evidence

  • Save task IDs, polling responses, and final video URLs to output/aliyun-wan-videoedit/.
  • Keep at least one end-to-end run log for troubleshooting.

Prerequisites

  • Install SDK (recommended in a venv):
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Critical model names

  • wan2.7-videoedit — supports style transfer and instruction-based video editing

Capabilities

CapabilityDescriptionRequired media
Style transferConvert video to a different visual style (clay, anime, etc.)video only
Instruction editingEdit video content with text instructions and optional reference imagesvideo + optional reference_image (up to 3)

API endpoint (async only)

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis

Required headers:

  • Authorization: Bearer $DASHSCOPE_API_KEY
  • Content-Type: application/json
  • X-DashScope-Async: enable

Singapore endpoint: replace dashscope.aliyuncs.com with dashscope-intl.aliyuncs.com.

Normalized interface

Request

  • prompt (string, optional) — up to 5000 characters, describes desired editing
  • negative_prompt (string, optional) — up to 500 characters
  • media (array, required) — media objects with type and url fields:

- type: video (required, exactly 1) | reference_image (optional, up to 3) - url: public URL (HTTP/HTTPS) or OSS temporary URL

  • resolution (string, optional) — 720P or 1080P (default: 1080P)
  • ratio (string, optional) — output aspect ratio: 16:9, 9:16, 1:1, 4:3, 3:4. If omitted, follows input video ratio.
  • duration (integer, optional) — truncate input video to this length in seconds, range [2, 10]. Default 0 (use input video duration).
  • audio_setting (string, optional) — auto (default, AI decides) or origin (keep original audio)
  • prompt_extend (boolean, optional) — AI prompt rewriting (default: true)
  • watermark (boolean, optional) — add "AI generated" watermark (default: false)
  • seed (integer, optional) — range [0, 2147483647]

Media input limits

Video (type=video):

  • Formats: mp4, mov
  • Duration: 2-10s
  • Resolution: [240, 4096] pixels per side
  • Aspect ratio: 1:8 to 8:1
  • Max size: 100MB

Reference images (type=reference_image):

  • Formats: JPEG, JPG, PNG (no transparency), BMP, WEBP
  • Resolution: [240, 8000] pixels per side
  • Aspect ratio: 1:8 to 8:1
  • Max size: 20MB
  • Maximum 3 reference images

Resolution output table

ResolutionRatioOutput (W*H)
720P16:91280*720
720P9:16720*1280
720P1:1960*960
720P4:31104*832
720P3:4832*1104
1080P16:91920*1080
1080P9:161080*1920
1080P1:11440*1440
1080P4:31648*1248
1080P3:41248*1648

Response (task creation)

  • output.task_id (string) — use for polling, valid 24 hours
  • output.task_status (string) — PENDING | RUNNING | SUCCEEDED | FAILED | CANCELED
  • request_id (string)

Response (task result)

  • output.video_url (string) — edited video URL
  • usage.video_count (integer)
  • usage.video_duration (integer) — duration in seconds

Quick start (Python + HTTP)

import os
import json
import time
import requests

API_KEY = os.getenv("DASHSCOPE_API_KEY")
BASE_URL = "https://dashscope.aliyuncs.com/api/v1"

def create_videoedit_task(req: dict) -> str:
    """Create a video editing task and return task_id."""
    payload = {
        "model": "wan2.7-videoedit",
        "input": {
            "prompt": req.get("prompt", ""),
            "media": req["media"],
        },
        "parameters": {
            "resolution": req.get("resolution", "1080P"),
            "prompt_extend": req.get("prompt_extend", True),
            "watermark": req.get("watermark", False),
        },
    }
    if req.get("negative_prompt"):
        payload["input"]["negative_prompt"] = req["negative_prompt"]
    if req.get("ratio"):
        payload["parameters"]["ratio"] = req["ratio"]
    if req.get("duration"):
        payload["parameters"]["duration"] = req["duration"]
    if req.get("audio_setting"):
        payload["parameters"]["audio_setting"] = req["audio_setting"]
    if req.get("seed") is not None:
        payload["parameters"]["seed"] = req["seed"]

    resp = requests.post(
        f"{BASE_URL}/services/aigc/video-generation/video-synthesis",
        headers={
            "Authorization": f"Bearer {API_KEY}",
            "Content-Type": "application/json",
            "X-DashScope-Async": "enable",
        },
        json=payload,
    )
    resp.raise_for_status()
    data = resp.json()
    return data["output"]["task_id"]

def poll_task(task_id: str, interval: int = 15) -> dict:
    """Poll until task completes. Returns final response."""
    while True:
        resp = requests.get(
            f"{BASE_URL}/tasks/{task_id}",
            headers={"Authorization": f"Bearer {API_KEY}"},
        )
        resp.raise_for_status()
        data = resp.json()
        status = data["output"]["task_status"]
        if status in ("SUCCEEDED", "FAILED", "CANCELED"):
            return data
        time.sleep(interval)

Usage examples

# Style transfer — convert to clay style
media = [{"type": "video", "url": "https://example.com/input.mp4"}]
task_id = create_videoedit_task({
    "prompt": "将整个画面转换为黏土风格",
    "media": media,
    "resolution": "720P",
})

# Instruction editing with reference image
media = [
    {"type": "video", "url": "https://example.com/input.mp4"},
    {"type": "reference_image", "url": "https://example.com/hat.jpg"},
]
task_id = create_videoedit_task({
    "prompt": "为人物换上酷闪的衣服,再戴参考图里的帽子",
    "media": media,
    "audio_setting": "origin",
})

Error handling

ErrorLikely causeAction
401/403Missing or invalid DASHSCOPE_API_KEYCheck env var or credentials file
400 InvalidParameterBad resolution, missing video, too many reference imagesValidate parameters
"does not support synchronous calls"Missing X-DashScope-Async: enable headerAdd required header
429Rate limit or quotaRetry with backoff

Output location

  • Default output: output/aliyun-wan-videoedit/videos/
  • Override base dir with OUTPUT_DIR.

Anti-patterns

  • Do not use model names other than wan2.7-videoedit.
  • Do not call this API synchronously — async header is required.
  • Do not pass more than 1 video or more than 3 reference images.
  • Video URLs expire after 24 hours; download and persist immediately.
  • Do not use this API for video generation — use aliyun-wan-i2v instead.

Workflow

  1. Confirm user intent: style transfer or instruction-based editing.
  2. Prepare media array with video (required) and optional reference images.
  3. Create async task and poll for results.
  4. Download and save edited video before URL expiration.

References

  • See references/api_reference.md for full HTTP API details.
  • See references/sources.md for source links.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.07%
按下载量换算89

Claude

30.03%
按下载量换算72

Cursor

17.85%
按下载量换算43

Gemini CLI

9.18%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills