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Agent Skill · 效率

background-remove(背景删除)

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。

background-remove 是效率类 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,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 3,456。

总安装 17,345周安装 730GitHub Stars 3下载 6,074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
1.0.1

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

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。

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。

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 background-remove;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

background-remove 怎么安装?

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

background-remove 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。

background-remove 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。

background-remove 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。

background-remove 用的人多吗?

公开数据是累计安装 17,345 次,近一周安装 730 次,下载 6,074 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。

background-remove 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

  • 需要接触敏感数据,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

  • 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。

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
background-remove

背景删除 · 本页

17,3453接触敏感数据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
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

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

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。目前只有一个公开来源,建议同时核对源仓库。

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