armor-alerts

Query and manage AnomalyArmor data alerts with filtering by time, severity, status, and asset ID.

1|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/anomalyarmor/agents --skill armor-alerts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: armor-alerts
Source: https://github.com/anomalyarmor/agents/tree/main/skills/alerts
Command: npx skills add https://github.com/anomalyarmor/agents --skill armor-alerts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anomalyarmor, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of understanding and managing data alerts, helping users quickly identify and address issues within their data pipelines.

Core Features & Use Cases

  • Alert Querying: Filter alerts by time range, severity, status, and asset.
  • Alert Summarization: Get an overview of alert statistics and trends.
  • Use Case: Quickly check for "critical alerts" that fired yesterday for a specific "orders" table to diagnose a production issue.

Quick Start

Use the armor-alerts skill to list all critical alerts for the orders table.

Frequently Asked Questions about armor-alerts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query data alerts for a specific asset?

Query data alerts by filtering on asset ID to conduct targeted investigations. This allows you to isolate and review monitoring triggers specific to a single data pipeline asset.

Can I filter anomaly detection alerts by time range and severity?

Yes, you can filter anomaly detection alerts by time range, severity, and status. This targeted querying helps quickly identify and address critical data pipeline issues.

What is the best way to get a summary of incident management alerts?

Generate an overview of alert statistics and trends to summarize incident management alerts. This provides a high-level summary of data health and monitoring anomalies.

Does this anomaly monitoring require the AnomalyArmor Python SDK?

Yes, querying alert data requires the AnomalyArmor Python SDK for programmatic access. This dependency integrates directly with the AnomalyArmor monitoring systems.

Why use targeted alert filtering for diagnosing production data issues?

Targeted alert filtering isolates specific critical alerts fired yesterday for tables like orders. This helps you diagnose production issues by narrowing down the exact data health anomalies.