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Ai Intelligent Cv Platform

Name: Ai Intelligent Cv Platform
Author: yang1002378395-cmyk

作者 yang1002378395-cmyk · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

112

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-cv-platform

功能描述

计算机视觉平台，图像识别 + 分析 + 生成。

使用说明 (SKILL.md)

AI 智能计算机视觉平台

描述

计算机视觉平台，图像识别 + 分析 + 生成。

功能

图像分类（物体识别）
目标检测（YOLO）
图像分割（语义分割）
OCR识别（文字识别）
图像生成（Stable Diffusion）

定价

基础版：¥299/月（1 万次/月）
专业版：¥1499/月（10 万次/月）
企业版：¥4999/月（无限次）

适用场景

图像识别
安防监控
医疗影像
自动驾驶

技术栈

Python + FastAPI
OpenCV/YOLO
深度学习模型
GPU 加速

安装

git clone https://github.com/openclaw-skills/ai-intelligent-cv-platform
cd ai-intelligent-cv-platform
pip install -r requirements.txt
python app.py

创建：2026-03-13 作者：OpenClaw Skills Team

安全使用建议

This skill is essentially a pointer to an external GitHub project rather than a self-contained integration. Before installing or running anything: 1) inspect the remote repository (README, commit history, code) and verify a trusted commit/tag; 2) review requirements.txt and app.py for unsafe behavior (network calls, credential access, shell exec); 3) never run the clone/install commands on a production machine—use an isolated environment or container; 4) prefer skills that bundle their code or provide a documented, authenticated API rather than requiring you to execute unverified third‑party code; 5) if you expect a hosted service or API integration (pricing suggests one), ask the publisher for documentation, endpoints, and required credentials rather than blindly following the SKILL.md steps.

功能分析

Type: OpenClaw Skill Name: ai-cv-platform Version: 1.0.0 The skill bundle contains only metadata and documentation for an AI computer vision platform. The SKILL.md and skill.json files describe standard features such as image classification and OCR, providing typical installation instructions (git clone, pip install). No executable code, suspicious network activity, or prompt injection attempts were identified.

能力评估

⚠ Purpose & Capability

The SKILL.md describes a full CV platform (classification, detection, segmentation, OCR, Stable Diffusion) but the skill package contains no code, no packaged models, no API endpoints, and requests no credentials. Instead it tells the user to git clone a GitHub repo and run app.py. That makes the skill a pointer to external code rather than a self-contained integration, which is inconsistent with the expectation that an installed skill implements its stated capabilities.

⚠ Instruction Scope

Runtime instructions tell the agent/user to clone https://github.com/openclaw-skills/ai-intelligent-cv-platform, pip install requirements.txt, and run app.py. Those steps will download and execute arbitrary third-party code not included in the skill package. The instructions do not require verifying a commit hash, inspecting code, or validating the source, nor do they limit network activity or describe what data will be sent or stored.

ℹ Install Mechanism

There is no formal install spec in the skill metadata (instruction-only). The SKILL.md relies on git cloning a GitHub repository — GitHub is a common host (lower risk than a personal server), but cloning the repo without pinning to a release/commit leaves the installed code mutable and unverified. This effectively causes the agent/user to install external code at runtime.

✓ Credentials

The skill declares no required environment variables, credentials, or config paths. That is proportionate given the lack of integrated external services. However, running the external repo could still prompt for keys or access later; the skill package itself does not request them.

✓ Persistence & Privilege

The skill is not forced-always and does not request heightened platform privileges. It does, however, instruct running arbitrary code which could create persistence or network listeners when executed by the user — that behavior is not managed by the skill package itself.

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 ai-cv-platform
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-cv-platform 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

AI智能计算机视觉平台首发版本，集成多项核心视觉能力。 - 支持图像分类、目标检测（YOLO）、图像分割、OCR识别及图像生成（Stable Diffusion） - 提供多种套餐，适用于个人到企业级需求 - 适用场景涵盖图像识别、安防、医疗和自动驾驶 - 基于Python、FastAPI、OpenCV等技术栈，支持GPU加速

元数据

Slug ai-cv-platform

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题