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Image AI Kit

Name: Image AI Kit
Author: kaiyuelv

作者 Lv Lancer · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

146

总下载

当前安装

版本数

在 OpenClaw 中安装

/install image-ai-kit

功能描述

AI图像工具包 - 智能图像处理与增强 | AI Image Kit - Intelligent image processing and enhancement

使用说明 (SKILL.md)

Image AI Kit - AI图像工具包

智能图像处理解决方案，支持图像增强、风格迁移、智能裁剪和 OCR 文字识别。

核心功能

功能模块	说明
图像增强	超分辨率、去噪、锐化、色彩增强
智能裁剪	自动识别主体，智能裁剪构图
OCR识别	文字提取，支持多语言
格式转换	支持 JPG/PNG/WebP/HEIC 等格式
批量处理	多图像并行处理

快速开始

from scripts.image_enhancer import ImageEnhancer

# 图像增强
enhancer = ImageEnhancer()
enhancer.upscale('input.jpg', 'output.jpg', scale=2)

# OCR识别
from scripts.ocr_engine import OCREngine
ocr = OCREngine()
text = ocr.extract_text('image_with_text.png')

安装

pip install -r requirements.txt

项目结构

image-ai-kit/
├── SKILL.md                 # Skill说明文档
├── README.md                # 完整文档
├── requirements.txt         # 依赖列表
├── scripts/                 # 核心模块
│   ├── image_enhancer.py    # 图像增强器
│   ├── ocr_engine.py        # OCR引擎
│   └── image_utils.py       # 图像工具
├── examples/                # 使用示例
│   └── basic_usage.py
└── tests/                   # 单元测试
    └── test_image.py

安全使用建议

This package appears coherent and limited to local image processing. Before installing: 1) Verify you trust the repository/source (homepage is provided); run it in a virtualenv or sandbox. 2) Be aware pytesseract is a Python wrapper and requires the Tesseract binary (install via your OS package manager); SKILL.md omits that step. 3) The code operates on files you provide — avoid processing sensitive images unless you trust the environment. 4) Review requirements.txt and consider pinning versions; run the bundled tests to confirm expected behavior. 5) If you need network-isolated execution, run the package in an environment without outbound access — the code has no network calls, but isolation is good practice.

功能分析

Type: OpenClaw Skill Name: image-ai-kit Version: 1.0.0 The image-ai-kit bundle is a legitimate image processing toolkit providing OCR, enhancement, and cropping features using standard libraries like PIL, OpenCV, and Tesseract. The code in scripts/image_processor.py and scripts/ocr_engine.py is well-structured, aligns with the stated documentation in SKILL.md, and contains no indicators of malicious intent, data exfiltration, or unauthorized execution.

能力评估

✓ Purpose & Capability

Name/description (image enhancement, OCR, smart-crop) align with included Python modules (image_enhancer, image_processor, ocr_engine, smart_crop), tests, and requirements.txt. Required binaries/env vars are none, which is consistent for a library that operates on local image files.

✓ Instruction Scope

SKILL.md instructs only local operations (pip install -r requirements.txt, import and call library functions). The runtime code opens image files provided by the user and saves outputs; there are no instructions to read unrelated system files, environment variables, or to send data to external endpoints.

ℹ Install Mechanism

This is an instruction-only skill with a requirements.txt (pip install). There is no custom install script or remote download. Note: pytesseract requires an external Tesseract binary (system package) which SKILL.md doesn't mention; OpenCV and other libraries are pulled from PyPI (standard).

✓ Credentials

No environment variables, credentials, or config paths are requested. The code accesses image files supplied by the user and OpenCV's local haarcascade data (cv2.data.haarcascades), which is appropriate for the stated functionality.

✓ Persistence & Privilege

always is false and the skill does not request elevated or persistent system presence. It does not modify other skills or global agent settings; autonomous invocation is allowed by default (normal for skills) and not combined with other red flags.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install image-ai-kit
安装完成后，直接呼叫该 Skill 的名称或使用 /image-ai-kit 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release: AI image processing and enhancement toolkit

元数据

Slug image-ai-kit

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题

Image AI Kit 是什么？

AI图像工具包 - 智能图像处理与增强 | AI Image Kit - Intelligent image processing and enhancement. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 146 次。

如何安装 Image AI Kit？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install image-ai-kit」即可一键安装，无需额外配置。

Image AI Kit 是免费的吗？

是的，Image AI Kit 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Image AI Kit 支持哪些平台？

Image AI Kit 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Image AI Kit？

由 Lv Lancer（@kaiyuelv）开发并维护，当前版本 v1.0.0。