Ai Intelligent Cv Platform

计算机视觉平台，图像识别 + 分析 + 生成。

Security Scan

The skill claims to be a full computer-vision platform but includes no code or credentials and simply instructs the user to clone and run an external GitHub repo — this mismatch and the implicit execution of third-party code is risky and unexplained.

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.

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.

What to consider before installing

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.

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

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创建：2026-03-13 作者：OpenClaw Skills Team