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Aloudata CAN SKILLS - anomaly-detection

VERIFIED

by community

No community reviews yet
144,126,000installs
Updated May 2026

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Description

对指标进行异常检测,判断当前数据是否偏离正常范围,输出结构化的异常检测报告。当用户希望检查指标是否异常、做健康巡检、或对一组指标做批量异常扫描时,必须使用此 Skill。 触发场景包括但不限于:用户提到"异常检测""有没有异常""是否正常""健康检查""巡检""波动是否正常""数据是不是有问题""帮我看看有没有问...

Install Aloudata CAN SKILLS - anomaly-detection

Run this in your OpenClaw agent to add Aloudata CAN SKILLS - anomaly-detection from the ClawHub registry.

terminal
$openclaw skills install aloudata-anomaly-detection

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

⚠️警告77/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is Aloudata CAN SKILLS - anomaly-detection safe to install?

Aloudata CAN SKILLS - anomaly-detection has a SkillsReview security score of 77/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does Aloudata CAN SKILLS - anomaly-detection cost?

Aloudata CAN SKILLS - anomaly-detection is free to install for OpenClaw via ClawHub.

What are the best alternatives to Aloudata CAN SKILLS - anomaly-detection?

You can compare Aloudata CAN SKILLS - anomaly-detection side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install Aloudata CAN SKILLS - anomaly-detection?

Install Aloudata CAN SKILLS - anomaly-detection from ClawHub at clawhub.ai/skills/aloudata-anomaly-detection, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateMay 11, 2026
Needs attention (117d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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