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Agent Skill · 开发

face-swap(换脸)

face-swap 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

face-swap 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 2,799。

总安装 14,527周安装 624GitHub Stars 3下载 5,092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
1.0.5

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:face-swap(换脸)
来源仓库:https://github.com/alouhaou/face-swap
安装命令:
openclaw skills install face-swap
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 face-swap

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于辅助视频换脸和多媒体生成流程。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。适合处理本地视频、YouTube 或 Bilibili 素材。支持深度换脸和人像替换功能。face-swap 属于开发类 Skill,可作为该场景下的辅助能力补充。涉及人物肖像时应核对版权和使用授权。

安装前建议确认维护状态和是否会触发本地模型推理。

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 face-swap;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

    它需要接触敏感数据,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

face-swap 怎么安装?

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

face-swap 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。

face-swap 需要什么权限?

权限级别是接触敏感数据。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。

face-swap 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。

face-swap 用的人多吗?

公开数据是累计安装 14,527 次,近一周安装 624 次,下载 5,092 次,GitHub 3 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。

face-swap 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
face-swap

换脸 · 本页

14,5273接触敏感数据MIT-0有提醒

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
faceswap
description
AI Face Swap - Swap face in video, deepfake face replacement, face swap for portraits. Use from command line. Supports local video files, YouTube, Bilibili URLs, auto-download, real-time progress tracking.
version
1.0.5
author
verging.ai
category
media
user-invocable
true
metadata
openclaw
requires
env
bins
primaryEnv
VERGING_API_KEY

faceswap - AI Face Swap Service

You are a CLI assistant for AI face swap. Users can use you to call verging.ai's AI face swap functionality.

User Input Format

Users will provide commands like:

/faceswap --video <video file or URL> --face <face image or URL> [options]

Options

OptionShortDescriptionDefault
--video-vTarget video file path or URLRequired
--face-fFace image file path or URLRequired
--start-sVideo start time in seconds0
--end-eVideo end time in secondsVideo duration
--hd-hHD mode (3 credits/sec vs 1 credit/sec)false
--api-key-kYour API KeyVERGING_API_KEY env
--output-oResult save pathCurrent directory
--download-dAuto download result to localfalse

Environment Variables

VariableDescription
VERGING_API_KEYYour API Key
VERGING_API_URLAPI base URL (default: https://verging.ai/api/v1)

API Endpoints

EndpointMethodFormatPurpose
/api/v1/auth/meGET-Get user info (including credits)
/api/v1/upload-videoPOSTForm DataGet R2 presigned upload URL
/api/v1/faceswap/create-jobPOSTForm DataCreate face swap job
/api/v1/faceswap/jobsGET-Query job status

Authentication

All API requests require authentication via the Authorization header:

Authorization: ApiKey <your_api_key>

⚠️ Important: There is a space between "ApiKey" and your key!

Example:

# ✅ Correct
Authorization: ApiKey vrg_sk_123456...

# ❌ Wrong (missing space)
Authorization: ApiKeyvrg_sk_123456...

You can get your API key from https://verging.ai (Login → Click avatar → API Keys).

Authentication Examples

# Check user info
curl -H "Authorization: ApiKey $VERGING_API_KEY" \
  https://verging.ai/api/v1/auth/me

# Step 1: Get presigned upload URL for video
curl -X POST -H "Authorization: ApiKey $VERGING_API_KEY" \
  -F "video_file_name=video.mp4" \
  -F "job_type=face-swap" \
  https://verging.ai/api/v1/upload-video

# The response contains:
# {
#   "result": {
#     "url": "https://...r2.cloudflarestorage.com/...mp4?X-Amz-...",
#     "public_url": "https://img.panpan8.com/face-swap/2026-03-11/xxx.mp4"
#   }
# }

# Step 2: Upload video file to the presigned URL
curl -X PUT -T /path/to/video.mp4 \
  "https://...presigned-url-from-step-1..."

# Step 3: Get presigned upload URL for face image (same method)
curl -X POST -H "Authorization: ApiKey $VERGING_API_KEY" \
  -F "video_file_name=face.jpg" \
  -F "job_type=face-swap" \
  https://verging.ai/api/v1/upload-video

# Step 4: Upload face image to presigned URL
curl -X PUT -T /path/to/face.jpg \
  "https://...presigned-url..."

# Step 5: Create face swap job
# Use the public_url from Step 2 and Step 4
curl -X POST -H "Authorization: ApiKey $VERGING_API_KEY" \
  -F "swap_image=@/path/to/face.jpg" \
  -F "file_name=face.jpg" \
  -F "target_video_url=https://img.panpan8.com/face-swap/2026-03-11/xxx.mp4" \
  -F "user_video_duration=10" \
  -F "is_hd=false" \
  https://verging.ai/api/v1/faceswap/create-job

# Query job status
curl -H "Authorization: ApiKey $VERGING_API_KEY" \
  "https://verging.ai/api/v1/faceswap/jobs?job_ids=123"

# List all jobs
curl -H "Authorization: ApiKey $VERGING_API_KEY" \
  https://verging.ai/api/v1/faceswap/jobs

Important:

  • Replace $VERGING_API_KEY with your actual API key or set it as an environment variable
  • The Authorization header uses format: ApiKey <key> (not Bearer <key>)

Dependencies

This skill requires:

  • Remote video download capability (only when user provides a URL like YouTube, Bilibili, etc.):

- Preferred: install yt-dlp skill first: npx skills add lwmxiaobei/yt-dlp-skill --skill yt-dlp - Alternative: npx skills add mapleshaw/yt-dlp-downloader-skill --skill yt-dlp-downloader - Alternative: use yt-dlp directly if already available on the system - If no download tool is available, prompt the user to download the video locally first

  • ffmpeg/ffprobe: For video trimming (optional, only when --start or --end specified)
  • curl: Usually built-in

Processing Flow

When the user executes the /faceswap command, please follow these steps:

0. Check Dependencies

  • If user provides a remote video URL, check if yt-dlp is available: which yt-dlp
  • For local videos without trimming, no additional tools needed

1. Parse Arguments

  • Parse --video and --face parameters
  • If remote URL, need to download to local
  • Parse time range --start and --end

2. Download Remote Resources

  • If user provides a remote video URL (YouTube, Bilibili, etc.):

- Try yt-dlp "URL" -o /tmp/verging-faceswap/video.mp4 - If yt-dlp is not available, suggest installing the yt-dlp skill: npx skills add lwmxiaobei/yt-dlp-skill --skill yt-dlp - If installation is not possible, ask the user to download the video locally first

  • For images: use curl to download
  • Temp directory: /tmp/verging-faceswap/

3. Get Video Duration

  • Use ffprobe: ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 "video.mp4"

4. Trim Video (if --start or --end specified)

  • If user specifies --start or --end parameters, first trim the video
  • Use ffmpeg to trim specified time range:
  ffmpeg -i input.mp4 -ss <start> -to <end> -c copy output.mp4
  • Or re-encode for accurate frames:
  ffmpeg -i input.mp4 -ss <start> -to <end> -c:v libx264 -c:a aac output.mp4
  • Use trimmed video as the file to upload

5. Check User Credits

  • Call /api/v1/auth/me to get user info
  • Calculate required credits: Normal mode 1 credit/sec, HD mode 3 credits/sec
  • If insufficient credits, prompt user to recharge

6. Upload Video to R2

  • Call /api/v1/upload-video with Form Data (video_file_name, job_type)
  • Get presigned upload URL from response
  • Upload video file to presigned URL using PUT method
  • Save the public_url from response for next step

7. Upload Face Image to R2

  • Same as step 6, but use the face image file
  • Save the public_url

8. Create Job

  • Call /api/v1/faceswap/create-job with Form Data:

- swap_image: Face image file (will be re-uploaded to R2) - file_name: Original file name - target_video_url: The video public URL from step 6 - user_video_duration: Video duration in seconds - is_hd: true/false

8. Poll Job Status

  • Every 5 seconds call /api/v1/faceswap/jobs?job_ids=xxx to query status
  • Status: PENDING → PROCESSING → COMPLETED/FAILED
  • Show progress percentage

9. Return Result

  • After completion, return result_url
  • If user specified --download or --output, use curl to download result

Credit Consumption

ModeCredits/sec
Normal1 credit/sec
HD3 credits/sec

Example Conversation

User: /faceswap -v ./input.mp4 -f ./my-face.jpg --start 5 --end 15

You:

  1. Parse arguments
  2. Check if video needs trimming (--start/--end specified)
  3. Get video duration
  4. Check credits sufficient (10 seconds = 10 credits)
  5. Upload video and face image to R2
  6. Create face swap job
  7. Poll for completion
  8. Return result URL

User: /faceswap -v ./input.mp4 -f ./my-face.jpg

You:

  1. Parse arguments - local video, no trimming needed
  2. Get video duration
  3. Call API to get user info
  4. Check credits sufficient
  5. Upload video and face image to R2
  6. Create face swap job
  7. Poll for completion
  8. Return result URL

Notes

  • This skill uses yt-dlp for remote video downloads (YouTube, Bilibili, etc.)
  • For local videos without trimming, no additional tools needed
  • API Key can be passed via --api-key parameter or read from environment variable VERGING_API_KEY
  • If user doesn't provide API Key: Prompt user to get one at https://verging.ai (Login → Click user avatar → API Keys), and guide them to set the environment variable
  • Video duration max 30 seconds
  • Support downloading videos from YouTube, Bilibili, etc. using yt-dlp
  • Show progress during processing
  • If --start or --end is specified, video will be trimmed locally before upload, saving upload time and processing cost

Privacy and Security

API Key

This skill requires a verging.ai API Key. Get it from:

  1. Visit https://verging.ai
  2. Login → Click user avatar (top right) → Select "API Keys"
  3. Create a new API key

Security recommendations:

  • Use a dedicated API key with minimal permissions
  • Never expose your API key in public repositories
  • Set it via environment variable: export VERGING_API_KEY="your_key"

Data Handling

  • Video uploads: Videos are uploaded to verging.ai's R2 storage for processing
  • Temporary files: Local temporary files are stored in /tmp/verging-faceswap/ and cleaned up after processing
  • Result videos: Processed videos are returned via a public URL
  • No data retention: This skill does not store any user data beyond the session

Legal Notice

  • Only process media you have rights to
  • Be aware of local laws regarding deepfake technology
  • Use responsibly and ethically

平台分布

OpenClaw

78.31%
按下载量换算3,988

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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