Video Enhancement

v1.0.1

AI Video Enhancement - Upscale video resolution, improve quality, denoise, sharpen, enhance low-quality videos to HD/4K. Supports local video files, remote U...

3· 186·1 current·1 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for alouhaou/video-enhancement.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Video Enhancement" (alouhaou/video-enhancement) from ClawHub.
Skill page: https://clawhub.ai/alouhaou/video-enhancement
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: VERGING_API_KEY
Required binaries: yt-dlp, ffmpeg, ffprobe, curl
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install video-enhancement

ClawHub CLI

Package manager switcher

npx clawhub@latest install video-enhancement
Security Scan
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Purpose & Capability
The skill name/description (AI video enhancement) matches the declared requirements: an API key for verging.ai and binaries for downloading and local trimming (yt-dlp, ffmpeg, ffprobe, curl). Those tools are proportionate to the stated functionality.
Instruction Scope
Runtime instructions explicitly download remote videos (yt-dlp), trim/process locally (ffmpeg/ffprobe), and upload the video to verging.ai via a presigned URL. This behavior is coherent with a cloud-enhanced workflow but means full video files are transmitted to a third party. The examples also show a public_url (img.panpan8.com), which indicates uploads may be publicly accessible—users should be warned and confirm privacy expectations.
Install Mechanism
This is an instruction-only skill (no install spec, no code files). That minimizes install-time risk. It does recommend installing other skills (yt-dlp) via npx, which is expected for optional downloader functionality.
Credentials
Only VERGING_API_KEY (and optional VERGING_API_URL) are required, which aligns with the skill's need to authenticate to the verging.ai API. No unrelated credentials or broad secret access are requested.
Persistence & Privilege
always is false and autonomous invocation is allowed (platform default). The skill requests network/filesystem/external_commands permissions in the manifest—these are consistent with downloading, local trimming, and remote uploads. Nothing indicates the skill modifies other skills or requests permanent elevated privileges.
Assessment
This skill will upload entire video files to verging.ai (using a presigned URL) and the example output includes a publicly accessible URL—do not use it for sensitive or private videos unless you trust verging.ai's handling and retention policies. Ensure you only provide an API key you control and understand any costs/credits. Confirm that temporary files under /tmp/verging-video-enhancement/ are acceptable for your environment and that using yt-dlp to download remote content complies with copyright and your local rules. The skill has no homepage and an unknown source; if you need stronger assurance, verify verging.ai directly (site, privacy policy, and API docs) before installing or providing credentials.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

Binsyt-dlp, ffmpeg, ffprobe, curl
EnvVERGING_API_KEY
Primary envVERGING_API_KEY
latestvk971c5xw4cyt9zgyfk8w2tjbpx835vfy
186downloads
3stars
2versions
Updated 1mo ago
v1.0.1
MIT-0

video-enhancement - AI Video Enhancement

Enhance video quality using AI. Upscale resolution, denoise, sharpen, and improve low-quality videos.

Use Cases

  • Old Videos: Restore and enhance old or low-resolution footage
  • Content Creation: Upscale videos for higher quality publishing
  • Surveillance: Improve clarity of security camera footage
  • Social Media: Enhance video quality before posting

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

User Input Format

Users will provide commands like:

/video-enhancement --video <video file or URL> [options]

Options

OptionShortDescriptionDefault
--video-vTarget video file path or URLRequired
--hd-hHD mode (higher quality enhancement)false
--start-ssStart time in seconds0
--end-eEnd time in secondsVideo duration
--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/video_enhance/create-jobPOSTForm DataCreate video enhancement job
/api/v1/jobs/list-jobsGET-Query job status (use job_ids param)

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=video-enhancement" \
  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/video-enhancement/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: Create video enhancement job
curl -X POST -H "Authorization: ApiKey $VERGING_API_KEY" \
  -F "target_video_url=https://img.panpan8.com/video-enhancement/2026-03-11/xxx.mp4" \
  -F "file_name=video.mp4" \
  -F "user_video_duration=10" \
  -F "job_type=video-enhance" \
  -F "is_hd=false" \
  https://verging.ai/api/v1/video_enhance/create-job

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

# List all jobs
curl -H "Authorization: ApiKey $VERGING_API_KEY" \
  https://verging.ai/api/v1/jobs/list-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 /video-enhancement 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 parameter
  • If remote URL, need to download to local
  • Parse --scale (default 2x)
  • 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-video-enhancement/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
  • Temp directory: /tmp/verging-video-enhancement/

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 based on video duration and mode
  • Normal mode: 1 credit/second
  • HD mode: 3 credits/second
  • 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=video-enhance)
  • 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. Create Job

  • Call /api/v1/video_enhance/create-job with Form Data:
    • target_video_url: The video public URL from step 6
    • file_name: Original file name
    • user_video_duration: Video duration in seconds
    • job_type: "video-enhance"
    • is_hd: true/false (HD mode for higher quality)

8. Poll Job Status

  • Every 5 seconds call /api/v1/jobs/list-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

Supported Video Formats

  • MP4
  • MOV
  • AVI
  • MKV
  • WebM

Maximum video duration: 30 seconds Maximum file size: 500MB

Example Conversation

User: /video-enhancement -v ./old-video.mp4

You:

  1. Parse arguments - local video, normal mode
  2. Get video duration
  3. Call API to get user info
  4. Check credits sufficient (duration × 1 credit/sec)
  5. Upload video to R2
  6. Create video enhancement job
  7. Poll for completion
  8. Return result URL

User: /video-enhancement -v "https://youtube.com/watch?v=xxx" --hd --start 5 --end 15

You:

  1. Parse arguments - remote video, HD mode, trim 5-15s
  2. Download video using yt-dlp
  3. Trim video to 10 seconds
  4. Get trimmed video duration
  5. Check credits sufficient (10 sec × 3 credits/sec = 30 credits)
  6. Upload trimmed video to R2
  7. Create video enhancement job with is_hd=true
  8. Poll for completion
  9. 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-video-enhancement/ 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
  • Use responsibly and ethically

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