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审计提醒

acedatacloud-face-transformacedatacloud 人脸变换

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

3,770

周安装

154

GitHub Stars

公开资料未说明

下载量

1,207
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:acedatacloud-face-transform(acedatacloud 人脸变换)
来源仓库:https://github.com/germey/acedatacloud-face-transform
安装命令:
openclaw skills install acedatacloud-face-transform
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 acedatacloud-face-transform

简介

acedatacloud-face-transform 用于人脸关键点检测与图像美化。

  • 适合人像处理、性别交换和面部特征变换。
  • 通过 clawhub 安装,需结合来源仓库和 README 确认具体用法。
  • 安装前建议确认权限范围、维护状态及是否涉及敏感生物信息。
  • 适用于图像处理、美颜应用和人像分析场景。

SKILL.md

name
face-transform
description
Analyze and transform faces via AceDataCloud API. Use when detecting face keypoints, beautifying portraits, aging/de-aging faces, swapping genders, replacing faces between photos, creating cartoon avatars, or detecting liveness. Provides 7 specialized face APIs.
license
Apache-2.0
metadata
author
acedatacloud
version
1.0
compatibility
Requires ACEDATACLOUD_API_TOKEN environment variable.

Face Transform

Analyze and transform faces through AceDataCloud's Face API suite.

Authentication

export ACEDATACLOUD_API_TOKEN="your-token-here"

Quick Start

curl -X POST https://api.acedata.cloud/face/analyze \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"image_url": "https://example.com/portrait.jpg"}'

Available APIs

EndpointPurposeDescription
POST /face/analyzeFace DetectionDetect face keypoints (90+ points per face)
POST /face/beautifyBeautificationApply beauty/decoration effects
POST /face/change-ageAge TransformMake a face look older or younger
POST /face/change-genderGender SwapTransform facial gender characteristics
POST /face/swapFace SwapReplace one person's face with another
POST /face/cartoonCartoon StyleConvert portrait to animated/cartoon style
POST /face/detect-liveLiveness CheckDetect if a face image is from a live person

Workflows

1. Face Analysis

Detect faces and extract 90+ keypoints per face.

POST /face/analyze
{
  "image_url": "https://example.com/photo.jpg"
}

Response includes detailed keypoints: nose, mouth, left_eye, right_eye, left_eyebrow, right_eyebrow, contour — each as arrays of {x, y} coordinates.

2. Face Beautification

POST /face/beautify
{
  "image_url": "https://example.com/portrait.jpg"
}

3. Age Transformation

POST /face/change-age
{
  "image_url": "https://example.com/portrait.jpg"
}

4. Gender Swap

POST /face/change-gender
{
  "image_url": "https://example.com/portrait.jpg"
}

5. Face Swap

Replace the face in the target image with the face from the source.

POST /face/swap
{
  "image_url": "https://example.com/source-face.jpg",
  "target_image_url": "https://example.com/target-person.jpg"
}

6. Cartoon Style

POST /face/cartoon
{
  "image_url": "https://example.com/portrait.jpg"
}

7. Liveness Detection

POST /face/detect-live
{
  "image_url": "https://example.com/face-photo.jpg"
}

Common Parameters

ParameterRequiredDescription
image_urlYesSource face image URL
target_image_urlFor swapTarget image for face replacement

Gotchas

  • All face APIs are synchronous — no task polling needed, results return immediately
  • Face analyze returns 90+ keypoints per detected face, supporting multiple faces in one image
  • Face swap requires two images: source (the face to use) and target (the body to put it on)
  • All APIs are currently in Alpha stage — interfaces may evolve
  • Images should contain clearly visible, front-facing faces for best results
  • Liveness detection helps distinguish live photos from printed/screen photos

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

70.73%
按下载量换算854

安全审计

VirusTotal

未展示

ClawScan

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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