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Agent Skill · 待分类

object-removal(物体移除)

object-removal 用于补充待分类相关能力,适合在 Local Agent 中需要让 Agent 承接待分类相关任务时使用。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。

object-removal 是待分类类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为需要联网;许可证信息还不明确,暂无第三方扫描结果,按安装量在待分类类的 11,209 个 Skill 里排第 10,165。

总安装 212周安装 9下载 74核验 2026-05-01
待分类需要联网unknown未标认证来源可访问许可证需确认审计未展示Local Agent

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。
许可证
unknown

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:object-removal(物体移除)
来源仓库:https://skills.volces.com
仓库路径:object-removal
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于补充待分类相关能力,支持 Local Agent 处理未明确分类的任务。适用于需要扩展 Agent 处理边界模糊或临时新增任务类型时调用。具体功能需结合原始 README 和安装命令进一步验证实现方式。安装前应确认是否会执行系统命令或访问敏感资源。建议在受控环境中测试后再投入实际工作流使用。

来源仓库内路径:object-removal

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 Local Agent;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

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 object-removal。

  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

    它需要需要联网,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

object-removal 怎么安装?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 object-removal。

object-removal 支持哪些 AI 工具?

公开资料标注支持 Local Agent。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。

object-removal 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

object-removal 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

object-removal 用的人多吗?

公开数据是累计安装 212 次,近一周安装 9 次,下载 74 次。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。

object-removal 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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 Local Agent,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
object-removal

物体移除 · 本页

212—需要联网未明确未收录

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

Object Removal & Inpainting

Remove unwanted elements from photos using each::sense. This skill intelligently removes objects, people, text, watermarks, and imperfections while seamlessly filling the removed areas with contextually appropriate content.

Features

  • Object Removal: Remove unwanted items from any photo
  • Person Removal: Remove people from backgrounds cleanly
  • Text/Watermark Removal: Clean up images with unwanted text overlays
  • Blemish Removal: Remove skin imperfections and photo artifacts
  • Wire/Line Removal: Clean up power lines, cables, and wires
  • Logo Removal: Remove branding and logos from images
  • Shadow Removal: Eliminate unwanted shadows
  • Background Cleanup: Remove distracting background elements

Quick Start

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove the person standing on the left side of this photo",
    "image_urls": ["https://example.com/beach-photo.jpg"],
    "mode": "max"
  }'

Use Case Examples

1. Remove Person from Photo

Remove an unwanted person from a group photo or scenic shot.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove the person in the red shirt from this beach photo. Fill the area naturally with the ocean and sand background.",
    "image_urls": ["https://example.com/beach-group.jpg"],
    "mode": "max"
  }'

2. Remove Unwanted Object

Clean up photos by removing distracting objects.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove the trash can and bench from the right side of this park landscape photo. Make it look like a clean natural scene.",
    "image_urls": ["https://example.com/park-landscape.jpg"],
    "mode": "max"
  }'

3. Remove Text/Watermark

Clean up images with unwanted text overlays or watermarks.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove the watermark from the bottom right corner of this image. Restore the original background seamlessly.",
    "image_urls": ["https://example.com/watermarked-image.jpg"],
    "mode": "max"
  }'

4. Remove Blemish/Imperfection

Clean up skin imperfections or photo artifacts.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove the skin blemishes and acne marks from this portrait photo. Keep the skin looking natural and maintain the original skin texture.",
    "image_urls": ["https://example.com/portrait.jpg"],
    "mode": "max"
  }'

5. Remove Power Lines/Wires

Clean up landscape and architectural photos by removing distracting wires.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove all the power lines and electrical wires from this sunset cityscape photo. Make the sky look clean and unobstructed.",
    "image_urls": ["https://example.com/cityscape-wires.jpg"],
    "mode": "max"
  }'

6. Remove Tourists from Landmark Photo

Get that perfect empty landmark shot by removing crowds.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove all the tourists and people from this Eiffel Tower photo. I want it to look like an empty plaza with just the monument.",
    "image_urls": ["https://example.com/eiffel-tower-crowded.jpg"],
    "mode": "max"
  }'

7. Remove Ex from Photo

Salvage memories by removing someone from personal photos.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove the person on the right side of this vacation photo. Fill in with the background scenery naturally so it looks like a solo travel photo.",
    "image_urls": ["https://example.com/vacation-couple.jpg"],
    "mode": "max"
  }'

8. Remove Logo/Branding

Clean up product photos or images with unwanted branding.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove the brand logo from the t-shirt in this photo. Replace it with plain fabric that matches the shirt color and texture.",
    "image_urls": ["https://example.com/branded-shirt.jpg"],
    "mode": "max"
  }'

9. Clean Up Product Photo

Remove distracting elements from e-commerce product shots.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Clean up this product photo by removing the price tag, dust spots, and the reflection of the photographer in the surface. Make it look professional and ready for e-commerce.",
    "image_urls": ["https://example.com/product-raw.jpg"],
    "mode": "max"
  }'

10. Remove Shadow

Eliminate unwanted shadows from photos.

curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove the harsh shadow cast by the photographer on the ground in this outdoor portrait. Make the lighting look natural and even.",
    "image_urls": ["https://example.com/portrait-shadow.jpg"],
    "mode": "max"
  }'

Multi-Turn Object Removal

Use session_id for iterative removal and refinement:

# First removal
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove the car parked on the left side of this street photo",
    "image_urls": ["https://example.com/street-scene.jpg"],
    "session_id": "cleanup-project-001"
  }'

# Second removal (same session)
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Now also remove the garbage bins near the building entrance",
    "session_id": "cleanup-project-001"
  }'

# Refinement (same session)
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "The area where the car was removed looks a bit blurry. Can you improve the texture to match the surrounding pavement better?",
    "session_id": "cleanup-project-001"
  }'

Prompt Tips for Object Removal

When requesting object removal, include these details in your prompt:

  1. What to remove: Be specific about the object(s) to remove
  2. Location: Describe where the object is in the image (left, right, center, background)
  3. Fill guidance: Describe what should replace the removed area
  4. Context preservation: Mention if certain elements should be kept intact

Example Prompt Structure

"Remove [object description] from [location in image].
Fill the area with [expected background/content].
Keep [elements to preserve] intact."

Good Prompt Examples

  • "Remove the person in the blue jacket standing near the fountain on the left side"
  • "Remove all text and watermarks from the image, restore the original background"
  • "Remove the car and fill with matching grass and pathway"

Prompts to Avoid

  • "Clean up this photo" (too vague)
  • "Remove stuff" (not specific)
  • "Make it better" (unclear objective)

Mode Selection

ModeBest ForSpeedQuality
maxFinal deliverables, complex removals, professional workSlowerHighest
ecoQuick previews, simple removals, bulk processingFasterGood

Recommendation: Use max mode for complex removals (people, large objects) and eco for simple cleanups (small blemishes, dust spots).

Best Practices

For Best Results

  • High-resolution source: Use the highest quality source image available
  • Clear descriptions: Be specific about what to remove and where it is
  • Simple backgrounds: Objects in front of simple, repetitive backgrounds are easier to remove cleanly
  • Multiple passes: For complex scenes, use multi-turn removal to address one element at a time

Challenging Scenarios

  • Complex backgrounds: Objects in front of detailed, unique backgrounds may require manual refinement
  • Large objects: Removing very large objects (more than 30% of image) may produce less realistic results
  • Reflections: Objects with reflections may need separate removal requests for the object and its reflection
  • Shadows: Remember to request shadow removal if the object casts a visible shadow

Error Handling

ErrorCauseSolution
Failed to create prediction: HTTP 422Insufficient balanceTop up at eachlabs.ai
Content policy violationProhibited contentReview content guidelines
TimeoutComplex generationSet client timeout to minimum 10 minutes
Poor removal qualityVague promptBe more specific about location and fill content

Client Timeout Configuration

Object removal operations can take time, especially for complex scenes. Configure your HTTP client with a minimum 10 minute timeout to avoid premature disconnections.

# Example with extended timeout
curl --max-time 600 -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Remove all people from this crowded plaza photo",
    "image_urls": ["https://example.com/crowded-plaza.jpg"],
    "mode": "max"
  }'

Related Skills

  • each-sense - Core API documentation
  • image-edit - General image editing capabilities
  • background-removal - Remove and replace backgrounds

平台分布

Local Agent

90.65%
按下载量换算67

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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