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azure-ai-anomalydetector-java

Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.

68

Quality

82%

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SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is azure-ai-anomalydetector-java in sickn33/antigravity-awesome-skills

SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The skill's main workflow examples for multivariate model training and batch inference explicitly set external data sources using URLs like "https://storage.blob.core.windows.net/container/data.zip?sasToken", indicating the agent will fetch and act on arbitrary third-party blobs as part of training/inference.

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Repository
boisenoise/skills-collections
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Security analysis
Snyk

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