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The skill's requirements and runtime instructions are consistent with a CLI wrapper that uploads videos/images to verging.ai for face‑swap processing; nothing in the bundle requests unrelated credentials or installs unexpected code.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「face swap」。简介：AI Face Swap - Swap face in video, deepfake face replacement, face swap for por…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/alouhaou/face-swap/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
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:
        - VERGING_API_KEY
      bins:
        - yt-dlp
        - ffmpeg
        - ffprobe
        - curl
    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

| Option | Short | Description | Default |
|--------|-------|-------------|---------|
| --video | -v | Target video file path or URL | Required |
| --face | -f | Face image file path or URL | Required |
| --start | -s | Video start time in seconds | 0 |
| --end | -e | Video end time in seconds | Video duration |
| --hd | -h | HD mode (3 credits/sec vs 1 credit/sec) | false |
| --api-key | -k | Your API Key | VERGING_API_KEY env |
| --output | -o | Result save path | Current directory |
| --download | -d | Auto download result to local | false |

## Environment Variables

| Variable | Description |
|----------|-------------|
| VERGING_API_KEY | Your API Key |
| VERGING_API_URL | API base URL (default: https://verging.ai/api/v1) |

## API Endpoints

| Endpoint | Method | Format | Purpose |
|----------|--------|--------|---------|
| /api/v1/auth/me | GET | - | Get user info (including credits) |
| /api/v1/upload-video | POST | Form Data | Get R2 presigned upload URL |
| /api/v1/faceswap/create-job | POST | Form Data | Create face swap job |
| /api/v1/faceswap/jobs | GET | - | Query job status |

## Authentication

All API requests require authentication via the `Authorization` header:

```bash
Authorization: ApiKey <your_api_key>
```

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

Example:
```bash
# ✅ 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

```bash
# 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

| Mode | Credits/sec |
|------|-------------|
| Normal | 1 credit/sec |
| HD | 3 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