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clawaifu-selfie爪哇芙自拍

Agent Skill

clawaifu-selfie 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

总安装

55,531

周安装

2,361

GitHub Stars

4

下载量

19,455
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:clawaifu-selfie(爪哇芙自拍)
来源仓库:https://github.com/swancho/clawaifu-selfie
安装命令:
openclaw skills install clawaifu-selfie
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 clawaifu-selfie

简介

生成动漫风格自拍照的 AI 伴侣技能模块。clawaifu-selfie 属于开发类 Skill,可作为该场景下的辅助能力补充。

  • 适合开发测试、创意原型或人机交互演示等场景。
  • 通过 clawhub 安装,集成于 OpenClaw 宿主环境运行。
  • 使用前需确认图像生成频率、版权归属及使用边界。
  • 输出内容为虚拟形象,不可用于真实身份认证或敏感场景。

SKILL.md

name
clawaifu - OpenClaw Waifu
title
clawaifu - OpenClaw Waifu
description
Your AI waifu companion that sends anime-style selfies
allowed-tools
Bash(grok-selfie.sh:*) Read
homepage
https://github.com/swancho/clawaifu
metadata
{"openclaw":{"requires":{"env":["FAL_KEY","BOT_TOKEN","TELEGRAM_CHAT_ID"]},"primaryEnv":"FAL_KEY"}}

clawaifu - OpenClaw Waifu

GitHub: https://github.com/swancho/clawaifu

Edit a fixed reference image using xAI's Grok Imagine model and send to Telegram.

Reference Image

The skill uses a fixed reference image:

https://i.redd.it/g4uf70te81uf1.jpeg

When to Use

  • User says "send a pic", "send me a pic", "send a photo", "send a selfie"
  • User asks "what are you doing?", "how are you doing?", "where are you?"
  • User describes a context: "send a pic wearing...", "send a pic at..."

Required Environment Variables

All credentials must be provided via environment variables. Never hardcode credentials.

FAL_KEY=your_fal_api_key          # Required - Get from https://fal.ai/dashboard/keys
BOT_TOKEN=your_telegram_bot_token  # Required - Get from @BotFather
TELEGRAM_CHAT_ID=your_chat_id      # Required - Your Telegram chat ID

Usage

./grok-selfie.sh "<context>" [mirror|direct] "<caption>"

Arguments

  1. <context> (required): Scene/situation description
  2. [mode] (optional): mirror (default) or direct
  3. <caption> (optional): Message to send with the image

Mode Selection

ModeBest ForKeywords
mirrorOutfit showcases, full-body shotswearing, outfit, fashion, dress
directLocation shots, close-upscafe, beach, restaurant, portrait

Examples

# Mirror selfie (outfit focus)
./grok-selfie.sh "wearing a designer dress" mirror "Just got this new dress!"

# Direct selfie (location focus)
./grok-selfie.sh "a fancy rooftop restaurant" direct "Date night vibes"

# Default mode (mirror)
./grok-selfie.sh "casual outfit at home"

Character Style

The script generates images of Reze from Chainsaw Man with:

  • Anime style, 2D animation, cel shading
  • Green eyes, thin line mouth, subtle smile
  • Black choker always visible
  • Outfit appropriate for the situation

Security Notes

  • All credentials are passed via environment variables
  • The script uses jq for safe JSON construction (prevents injection)
  • The script uses curl -F for safe form data transmission
  • Never commit credentials to version control

Dependencies

  • curl - HTTP requests
  • jq - JSON processing
  • Environment variables: FAL_KEY, BOT_TOKEN, TELEGRAM_CHAT_ID

API Reference

Grok Imagine Edit (fal.ai)

POST https://fal.run/xai/grok-imagine-image/edit
Authorization: Key $FAL_KEY
Content-Type: application/json

{
  "image_url": "reference_image_url",
  "prompt": "edit instruction",
  "num_images": 1,
  "output_format": "jpeg"
}

Telegram Bot API

POST https://api.telegram.org/bot$BOT_TOKEN/sendPhoto
Form data: chat_id, photo (URL), caption

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

77.52%
按下载量换算15,082

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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

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