eventhouse-consumption-cli

Provides read-only KQL querying of Eventhouse and KQL databases for discovery and monitoring.

952|267|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/microsoft/skills-for-fabric --skill eventhouse-consumption-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eventhouse-consumption-cli
Source: https://github.com/microsoft/skills-for-fabric/tree/main/plugins/fabric-skills/skills/eventhouse-consumption-cli
Command: npx skills add https://github.com/microsoft/skills-for-fabric --skill eventhouse-consumption-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides read-only KQL access to Microsoft Fabric Eventhouse, enabling quick data exploration, schema discovery, and operational visibility without altering data.

Core Features & Use Cases

  • Read-only KQL query execution against Eventhouse and KQL databases to fetch real-time insights.
  • Schema discovery commands (e.g., .show tables, .show table <name> schema as json) for data understanding.
  • Ingestion monitoring and active-query visibility to support operational troubleshooting and incident response.

Quick Start

Connect to your Eventhouse workspace and run a simple query to verify connectivity.

Frequently Asked Questions about eventhouse-consumption-cli

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

FAQPage Schema
How do I run read-only KQL queries against a Microsoft Fabric Eventhouse?

You can run read-only KQL queries against a Microsoft Fabric Eventhouse by using az rest-based commands to fetch real-time insights without altering data. This enforces proper authentication guidance while ensuring data security.

Can I discover database schema in Eventhouse without modifying tables?

Yes, you can discover database schema in Eventhouse without modifying tables by running read-only schema discovery commands like .show tables and .show table schema as json. This enables quick data exploration and understanding safely.

Does this approach support monitoring ingestion and active queries in KQL databases?

Yes, this approach supports monitoring ingestion and active queries in KQL databases. It provides operational visibility and active-query tracking to support troubleshooting and incident response across your Eventhouse environment.

What is the best way to perform ad-hoc data discovery on Eventhouse data?

The best way to perform ad-hoc data discovery on Eventhouse data is using read-only KQL querying via az rest. This fetches real-time insights for discovery and monitoring scenarios while strictly enforcing read-only access to prevent accidental modifications.

Are there limitations when using az rest to query an Eventhouse?

The primary limitation when using az rest to query an Eventhouse is strict read-only access enforcement. You cannot execute data ingestion, modification, or schema alteration commands, which limits use to discovery, monitoring, and export scenarios.