Ai Intelligent Defect Detection

缺陷检测，表面缺陷 + 质量检测。

Security Scan

The skill's stated purpose (defect detection) matches its description, but the runtime instructions tell the user/agent to download and execute code from an external GitHub repo (and pip install its requirements) even though no code or install spec is bundled — this is a risky mismatch that should be reviewed before running.

Purpose & Capability

Name, description, and listed capabilities (surface defect detection, classification, localization, reporting) are coherent with the declared tech stack (Python, FastAPI, image processing). The skill does not request unrelated credentials or config.

Instruction Scope

The SKILL.md instructs cloning https://github.com/openclaw-skills/ai-intelligent-defect-detection, pip installing requirements.txt, and running python app.py. The packaged skill itself contains no code — so following these instructions causes the agent/user to download and execute external code at runtime. There are no safety indicators (no pinned release, no checksum) and the instructions give broad permission to install arbitrary Python packages and run an application, which is outside the narrow 'describe capabilities' scope and increases risk.

Install Mechanism

There is no declarative install spec in the package; instead SKILL.md advocates git clone + pip install from a GitHub repo. GitHub is a common source, but the lack of a pinned release, commit hash, or package checksums and the unreviewed requirements.txt means arbitrary code and dependencies could be installed. This is a moderate-to-high install risk if executed without inspection.

Credentials

The skill declares no required env vars, binaries, or config paths, and the instructions do not ask for credentials. That is proportionate to a readme-style skill. However, running the recommended app may implicitly require network, file system, or hardware access — the SKILL.md does not document those needs.

Persistence & Privilege

always is false and there is no request to modify other skills or system-wide config. The skill does not request persistent presence in the agent beyond normal invocation.

What to consider before installing

This skill is essentially a pointer to an external GitHub project rather than a bundled implementation. Before cloning or running anything: 1) Inspect the GitHub repository and review its code, especially app.py and requirements.txt; 2) Prefer a pinned commit or release and verify checksums; 3) Run the code in an isolated sandbox or VM (not as root) and restrict network egress while you evaluate; 4) Check the project license, author identity, and recent activity; 5) If you cannot or do not want to audit the external repo, do not run the git clone / pip install steps. The absence of packaged code and lack of install safeguards makes this higher risk than an instruction-only skill that contains no external-install guidance.

AI 智能缺陷检测系统

描述

缺陷检测，表面缺陷 + 质量检测。

功能

• 缺陷检测（表面缺陷）
• 分类识别（缺陷分类）
• 位置定位（缺陷定位）
• 统计分析（缺陷统计）
• 报告生成（检测报告）

定价

• 基础版：¥399/月（1 条产线）
• 专业版：¥1999/月（10 条产线）
• 企业版：¥5999/月（无限产线）

适用场景

• 工业质检
• 产品检测
• 表面检测
• 自动化检测

技术栈

• Python + FastAPI
• 缺陷检测模型
• 图像处理
• 统计分析

安装

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

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创建：2026-03-13 作者：OpenClaw Skills Team