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Ai Intelligent Behavior Analysis
by
yang1002378395-cmyk
· GitHub ↗
· v1.0.0
· MIT-0
372
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0
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0
Active Installs
1
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Install in OpenClaw
/install ai-intelligent-behavior-analysis
Description
行为分析，动作识别 + 异常检测。
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-intelligent-behavior-analysis - After installation, invoke the skill by name or use
/ai-intelligent-behavior-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Ai Intelligent Behavior Analysis?
行为分析，动作识别 + 异常检测。 It is an AI Agent Skill for Claude Code / OpenClaw, with 372 downloads so far.
How do I install Ai Intelligent Behavior Analysis?
Run "/install ai-intelligent-behavior-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ai Intelligent Behavior Analysis free?
Yes, Ai Intelligent Behavior Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ai Intelligent Behavior Analysis support?
Ai Intelligent Behavior Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ai Intelligent Behavior Analysis?
It is built and maintained by yang1002378395-cmyk (@yang1002378395-cmyk); the current version is v1.0.0.
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