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Agent Skill · 效率

video-enhancer(视频增强器)

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。

video-enhancer 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;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 6,723。

总安装 8,952周安装 373GitHub Stars 2下载 2,984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
1.0.9

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:video-enhancer(视频增强器)
来源仓库:https://github.com/double-ing/video-enhancer
安装命令:
openclaw skills install video-enhancer
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 video-enhancer

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。

基于云的视频增强技能,可提升本地视频画质与效果。适用于视频后期处理、素材优化及动画合成项目。上传本地视频文件,系统自动进行 AI 增强后下载结果。支持多种分辨率与格式,需确认版权授权与内容合规性。安装方式:通过 clawhub 使用 openclaw skills install video-enhancer 命令。

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 video-enhancer;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

    它需要执行命令,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

video-enhancer 怎么安装?

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

video-enhancer 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。

video-enhancer 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install video-enhancer 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

video-enhancer 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。

video-enhancer 用的人多吗?

公开数据是累计安装 8,952 次,近一周安装 373 次,下载 2,984 次,GitHub 2 星。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。

video-enhancer 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
video-enhancer

视频增强器 · 本页

8,9522执行命令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
video-enhancer
description
>
metadata
{"clawdbot":{"emoji":"🎞️","requires":{"bins":["ffmpeg"]},"install":[{"id":"brew","kind":"brew","formula":"ffmpeg","bins":["ffmpeg"],"label":"Install ffmpeg"}]}}

Video Enhancer

Enhance a user-selected local video using Wondershare-hosted cloud processing.

This is a cloud workflow, not a fully local or offline enhancement pipeline.

Use This Skill When

Use this skill when the user wants to:

  • Enhance a blurry or low-quality local video
  • Upscale a local .mp4 or .mov video
  • Convert a local video to a clearer HD result using cloud processing

Do not use this skill when:

  • The user wants a fully local or offline workflow
  • The task is trimming, editing, subtitle work, or format conversion only
  • The input is a remote URL instead of a local file
  • The user does not accept third-party cloud upload

Preconditions

Before running:

  • Confirm the input file exists
  • Confirm the file extension is .mp4 or .mov
  • Confirm ffprobe is available
  • ⚠️ Tell the user this workflow uploads the source file to a third-party cloud service operated by Wondershare
  • ⚠️ Use the skill only after the user accepts cloud processing
  • ⚠️ The file is not sensitive, private, or confidential
  • Enforce these limits:

- If max(width, height) <= 1920, duration must be <= 300 seconds - If max(width, height) > 1920, duration must be <= 60 seconds

  • Refuse the request if any limit fails and explain which limit was exceeded

Privacy and Network Disclosure

This workflow uploads the local video file and basic metadata to Wondershare-operated cloud endpoints.

Uploaded data includes:

  • The source video file
  • Video duration
  • Video width and height
  • File MD5 checksum
  • Computer name and MAC address to generate a non‑reversible SHA‑256 device ID. Raw data is never uploaded or stored, used only for device identification

Network endpoints used by the bundled script:

  • https://filmora-cloud-api-alisz.wondershare.cc/open/v1/resources/upload
  • https://filmora-cloud-api-alisz.wondershare.cc/open/v1/tasks
  • https://filmora-cloud-api-alisz.wondershare.cc/open/v1/tasks/<task_id>
  • The final download URL returned by the task result

Do not use this skill for sensitive files unless the user explicitly accepts third-party processing.

Permissions

This skill requires:

  • Read access only to the user-specified input video file
  • Write access only to the selected output directory, or the input file's parent directory if no output directory is provided
  • Network access to the Wondershare-hosted endpoints listed above
  • Local execution of the fixed ffprobe binary for metadata inspection

This skill must not:

  • Modify the original input file in place
  • Scan directories for other media files
  • Upload any file other than the user-specified input file
  • Write arbitrary files outside the chosen output location

Preferred Execution

Run the script using an absolute path:

python {baseDir}/scripts/video_enhance.py -i "/absolute/path/to/video.mp4" -o "/output/dir"

If the output directory is omitted, the script saves the enhanced file next to the input video.

Workflow

  1. Validate that the input file exists and has a supported extension
  2. Read the local video metadata with ffprobe
  3. Enforce duration and resolution limits
  4. Upload the video file and metadata to the Wondershare cloud API
  5. Submit the enhancement task
  6. Poll until the task succeeds or fails
  7. Download the enhanced result to the output directory
  8. Report the saved file path to the user

Input and Output

Input:

  • Local video path
  • Optional output directory

Output:

  • Enhanced video saved to disk
  • Filename pattern:
<input_stem>_hd_YYYYMMDD_HHMMSS.<ext>

Supported Formats

Supported input formats:

  • .mp4
  • .mov

Security Notes

  • This is a third-party cloud processing workflow
  • The bundled script invokes only the fixed ffprobe binary with predefined arguments for local metadata inspection
  • The workflow does not require arbitrary shell execution
  • The workflow should use only the declared Wondershare-hosted endpoints and the final HTTPS task result download URL
  • The tool should be treated as unsuitable for sensitive or confidential media

Cloud Processing

  • Videos are uploaded to filmora cloud services for AI enhancement
  • Cloud providers temporarily store videos during processing
  • Enhanced videos are downloaded to local storage
  • Cloud-side data is deleted after processing completes

Troubleshooting

Check that the file exists:

ls -lh "/absolute/path/to/video.mp4"

Check that ffprobe is available:

ffprobe -version

If the task fails:

  • Verify network connectivity
  • Re-run the script and inspect the error output
  • Confirm the file is within the documented duration and format limits

Script Location

Bundled script:

  • {baseDir}/scripts/video_enhance.py

Agent Guidance

  • Always tell the user that the selected local video will be uploaded to a Wondershare-operated third-party cloud service before running the workflow
  • Require explicit user consent in the current conversation before execution
  • Refuse sensitive, private, or confidential videos
  • Keep the response focused on the saved file path, cloud-processing disclosure, and any relevant warnings

平台分布

OpenClaw

71.81%
按下载量换算2,143

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install video-enhancer 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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