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Ai Intelligent Behavior Analysis

Name: Ai Intelligent Behavior Analysis
Author: yang1002378395-cmyk

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

cross-platform ⚠ suspicious

372

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-intelligent-behavior-analysis

功能描述

行为分析，动作识别 + 异常检测。

使用说明 (SKILL.md)

AI 智能行为分析系统

描述

行为分析，动作识别 + 异常检测。

功能

动作识别（动作分类）
异常行为（打架/跌倒）
人群分析（密度/流向）
轨迹分析（行为模式）
预警推送（实时告警）

定价

基础版：¥399/月（1 路/月）
专业版：¥1999/月（10 路/月）
企业版：¥5999/月（无限路）

适用场景

安防监控
工厂安全
养老监护
校园安全

技术栈

Python + FastAPI
行为识别模型
视频分析
实时告警

安装

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

创建：2026-03-13 作者：OpenClaw Skills Team

安全使用建议

Proceed cautiously. Do not run git clone && pip install && python app.py on production or a host with sensitive data. Before installing: inspect the referenced GitHub repository (verify owner, read README, check app.py and requirements.txt), review any network calls or environment-variable usage, look for hardcoded endpoints or secrets, and scan the repo for malicious packages. If you must test it, run it in an isolated VM or container with no access to sensitive networks or credentials. Ask the publisher for a homepage, a signed release, and documentation of required camera endpoints, alert webhook configuration, and data retention/policy details. If you need help auditing the external repo, provide its URL and I can review the repo contents (code, requirements, and network calls) for further analysis.

功能分析

Type: OpenClaw Skill Name: ai-intelligent-behavior-analysis Version: 1.0.0 The skill bundle contains only metadata and documentation for an AI behavior analysis system. It lacks any executable code or suspicious instructions. The installation steps in SKILL.md point to a standard GitHub repository (openclaw-skills/ai-intelligent-behavior-analysis), and there are no signs of prompt injection, data exfiltration, or malicious intent in the provided files.

能力评估

⚠ Purpose & Capability

The skill claims real-time video analytics, alerts, and integrations (camera streams, push/alerting) but declares no required environment variables, endpoints, or binaries. Real deployment would normally require camera endpoints, API keys/webhook targets, storage or model weights, and possibly GPU/runtime requirements; those are absent, which is inconsistent with the stated capabilities.

⚠ Instruction Scope

SKILL.md instructs the operator to git clone a GitHub repo and run pip install -r requirements.txt and python app.py. That directs the agent/user to fetch and execute arbitrary remote code without any guardrails, configuration guidance, or explicit limits on data access — the runtime instructions therefore broaden scope beyond the simple description and could enable network access, file I/O, or data exfiltration depending on the remote code.

⚠ Install Mechanism

There is no packaged install spec in the registry; instead SKILL.md asks to clone a GitHub repo and run pip install on requirements.txt. While GitHub is a common host, cloning and executing unreviewed code plus installing arbitrary PyPI packages is a moderate-to-high risk install pattern because it pulls external artifacts that were not included in the skill bundle or statically scanned.

⚠ Credentials

No environment variables, credentials, or config paths are declared despite features that normally require credentials or endpoints (camera RTSP/HTTP URLs, push notification API keys, storage, or model hosting). The lack of declared secrets/configs is disproportionate and makes it unclear what sensitive data the remote app will request or transmit.

✓ Persistence & Privilege

The skill is not marked always:true and does not request system-wide config changes in the provided files. Autonomous invocation is allowed by platform default, but there is no explicit persistent privilege requested in the skill metadata.

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-intelligent-behavior-analysis
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-intelligent-behavior-analysis 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 of AI intelligent behavior analysis skill: - Provides action recognition (action classification) and anomaly detection (fighting/falling). - Supports crowd analysis (density/flow), trajectory analysis (behavior patterns), and real-time warning notifications. - Designed for scenarios such as security monitoring, factory safety, elderly care, and campus safety. - Built with Python, FastAPI, and behavior recognition models for video analysis.

元数据

Slug ai-intelligent-behavior-analysis

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