Token导航 LogoToken导航TokenDH.com
效率敏感数据clawhub未标认证来源可访问clear审计通过

background-remove背景删除

Agent Skill

background-remove 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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。

总安装

17,345

周安装

730

GitHub Stars

3

下载量

6,074
OpenClaw

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

MIT-0

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:background-remove(背景删除)
来源仓库:https://github.com/alouhaou/background-remove
安装命令:
openclaw skills install background-remove
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 background-remove

简介

background-remove 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中让 Agent 分析图片或辅助图像流程时使用。

  • 适用于电商产品图或人像头像背景去除场景。
  • 可生成透明 PNG 并支持批量处理。
  • 安装命令:openclaw skills install background-remove,需确认图像输入来源与分辨率要求。
  • 注意人物肖像处理需遵守隐私政策,禁止用于未授权分发。

SKILL.md

name
background-remover
description
AI Background Removal - Remove background from images, create transparent PNG, one-click background remover for e-commerce product photos, portrait headshots, design materials. Supports JPG, PNG, WebP local files and remote URLs.
version
1.0.0
author
verging.ai
category
media
user-invocable
true
metadata
openclaw
requires
env
bins
primaryEnv
VERGING_API_KEY

background-remover - AI Background Removal

Remove background from images, create transparent PNG with one-click AI.

Use Cases

  • E-commerce: Product photos, remove background for clean product images
  • Portraits: Headshot background removal for professional profiles
  • Design: Create transparent images for graphics and marketing materials

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

User Input Format

Users will provide commands like:

/background-remover --image <image file or URL> [options]

Options

OptionShortDescriptionDefault
--image-iTarget image file path or URLRequired
--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/background-removal/create-jobPOSTForm DataCreate background removal job
/api/v1/background-removal/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 image
curl -X POST -H "Authorization: ApiKey $VERGING_API_KEY" \
  -F "video_file_name=image.jpg" \
  -F "job_type=background-removal" \
  https://verging.ai/api/v1/upload-video

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

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

# Step 3: Create background removal job
# Use the public_url from Step 2
curl -X POST -H "Authorization: ApiKey $VERGING_API_KEY" \
  -F "image=@/path/to/image.jpg" \
  -F "file_name=image.jpg" \
  -F "job_type=background-removal" \
  https://verging.ai/api/v1/background-removal/create-job

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

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

  • curl: Usually built-in

Processing Flow

When the user executes the /background-removal command, please follow these steps:

0. Check Dependencies

  • No additional tools needed for local images
  • For remote image URLs (https://example.com/image.jpg), use curl to download

1. Parse Arguments

  • Parse --image parameter
  • If remote URL, download to local first

2. Check User Credits

  • Call /api/v1/auth/me to get user info
  • Background removal costs a fixed amount of credits (typically 1 credit per image)
  • If insufficient credits, prompt user to recharge

3. Upload Image to R2

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

4. Create Job

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

- image: Image file (will be uploaded to R2) - file_name: Original file name - job_type: "background-removal"

5. Poll Job Status

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

6. Return Result

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

Credit Consumption

OperationCredits
Background Removal (per image)1 credit

Supported Image Formats

  • JPG/JPEG
  • PNG
  • WebP

Maximum file size: 10MB

Example Conversation

User: /background-removal -i ./photo.jpg

You:

  1. Parse arguments - local image
  2. Call API to get user info
  3. Check credits sufficient (1 credit)
  4. Upload image to R2
  5. Create background removal job
  6. Poll for completion
  7. Return result URL

User: /background-removal -i https://example.com/photo.jpg

You:

  1. Parse arguments - remote image URL
  2. Download image to local temp directory
  3. Call API to get user info
  4. Check credits sufficient
  5. Upload image to R2
  6. Create background removal job
  7. Poll for completion
  8. Return result URL

Notes

  • 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
  • Support common image formats: JPG, PNG, WebP
  • Show progress during processing

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

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

86.29%
按下载量换算5,241

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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