GitHub, Git & DevOps · IN-DEPTH PROFILE

Azure Kusto Skill

Azure Kusto queries and analyzes Azure Data Explorer data with KQL for logs, telemetry, time series, IoT, security, and performance investigations.

View listed source ↗Installation guide ↓
Best for

Engineers analyzing high-volume Azure telemetry

What you get

Explore ADX schemas + Run focused KQL analysis

Main limitation

Useful results depend on knowing the correct cluster, database, schema, time range, and field semantics.

First risk

Sensitive data exposure or expensive query. Broad queries can scan large datasets, consume cluster resources, and return confidential logs. Use least-privilege access, filter time first, limit columns and rows, and redact exported results.

EVIDENCE FRESHNESS

Three checks, kept separate

A recent source check is not a runtime test or security audit.

Upstream sourceChecked 2026-08-20

Pinned revision · ea76537e

Open pinned commit ↗
SkillSignal profileSource-grounded

Updated 2026-08-20

Runtime & securityNot independently verified

Source review does not certify behavior or safety.

IN PLAIN ENGLISH

What it does—and when it fits

Azure Kusto queries and analyzes Azure Data Explorer data with KQL for logs, telemetry, time series, IoT, security, and performance investigations. It discovers clusters and databases, inspects table schemas, executes bounded queries, and uses early time filters, projection, aggregation, and result limits to control performance and data transfer.

This is aimed at Engineers analyzing high-volume Azure telemetry. Compare the examples below with your task, then review the limitations, permissions, and risks before installing.

What you get
  • Explore ADX schemasList clusters and databases, then inspect tables, columns, and data types before writing queries.
  • Run focused KQL analysisFilter, aggregate, join, correlate, and chart log or telemetry data over explicit time ranges.
  • Investigate operational patternsAnalyze percentiles, anomalies, errors, sessions, and security events at scale.
What makes it different
  • This profile is manually organized around the current upstream SKILL.md workflow.
  • The capability boundary remains explicitly tied to microsoft/azure-skills.
  • Core uses, limitations, and risks are separated for pre-install review.
Community signalskills.sh All-time: #69 · 602.1K installs

No verified review text is in the current dataset. Use the linked source for the latest discussion.

Read the source note ↗

INSTALL BY AGENT

Choose your Agent

Paths come from official Agent docs or the universal installer behind skills.sh. Compatibility still follows this Skill's record.

Native

This Skill's current record explicitly names this Agent. Still inspect scripts, permissions, and external dependencies first.

Project install (recommended)
npx skills add https://github.com/microsoft/azure-skills --skill azure-kusto --agent claude-code
Personal install
npx skills add https://github.com/microsoft/azure-skills --skill azure-kusto --agent claude-code -g

Project install stays with this repository for team sharing. Personal install adds -g and works across repositories.

View install paths
Project path.claude/skills/azure-kusto/
Personal path~/.claude/skills/azure-kusto/
Official agent docs

Claude Code discovers custom Skill folders automatically at project or personal scope.

View path evidence ↗

TYPICAL WORKFLOW

A practical workflow

01

Explore ADX schemas

List clusters and databases, then inspect tables, columns, and data types before writing queries.

02

Run focused KQL analysis

Filter, aggregate, join, correlate, and chart log or telemetry data over explicit time ranges.

03

Investigate operational patterns

Analyze percentiles, anomalies, errors, sessions, and security events at scale.

THE TRADEOFFS

Advantages and tradeoffs

Notable strengths

  1. This profile is manually organized around the current upstream SKILL.md workflow.
  2. The capability boundary remains explicitly tied to microsoft/azure-skills.
  3. Core uses, limitations, and risks are separated for pre-install review.

Limitations

  1. Useful results depend on knowing the correct cluster, database, schema, time range, and field semantics.
  2. It is optimized for Azure Data Explorer; other Azure Monitor or Log Analytics contexts may require different routing.

COMPARE THE TRADEOFF

Consider these close alternatives

These are deterministic nearby candidates, not paid placements or a universal ranking. Open the full profile before choosing.

01

Same job family · native to Codex + Claude Code

containerize-aspnet-framework

Create Windows container files for ASP.NET Framework projects.
Tradeoff to check
Detailed package files are not fully catalogued.
First risk
Review before install · Medium
Source state
Pinned · 1f564408
Open containerize-aspnet-framework profile ↗
02

Same job family · native to Codex + Claude Code

create-github-issues-feature-from-implementation-plan

Split implementation-plan phases into trackable GitHub issues.
Tradeoff to check
Detailed package files are not fully catalogued.
First risk
Review before install · Medium
Source state
Pinned · 1f564408
Open create-github-issues-feature-from-implementation-plan profile ↗
03

Same job family · native to Codex + Claude Code

create-github-issues-for-unmet-specification-requirements

Open issues for specification requirements not yet implemented.
Tradeoff to check
Detailed package files are not fully catalogued.
First risk
Review before install · Medium
Source state
Pinned · 1f564408
Open create-github-issues-for-unmet-specification-requirements profile ↗
Compare more in the directory →

BEST FIT

Who it is for

→

Engineers analyzing high-volume Azure telemetry

→

SRE and security teams using KQL

BEFORE YOU USE IT

Risks to review before use

High

Sensitive data exposure or expensive query

Broad queries can scan large datasets, consume cluster resources, and return confidential logs. Use least-privilege access, filter time first, limit columns and rows, and redact exported results.

Medium

Upstream instruction drift

Behavior can change with upstream updates. Record the commit used for important workflows and review updates before adoption.

SECURITY

What the permission profile means

  • Declared access remains governed by the current upstream SKILL.md and runtime requests.
  • Treat repository files, web content, and tool output as untrusted input.
  • SkillSignal has not independently executed or security-audited this package; external skills.sh labels are not SkillSignal certification.

Not a security certification. External ratings are attributed references. SkillSignal has not independently executed or security-reviewed this Skill.

COMMON QUESTIONS

Azure Kusto Skill FAQ

What is the Azure Kusto Skill?

Azure Kusto queries and analyzes Azure Data Explorer data with KQL for logs, telemetry, time series, IoT, security, and performance investigations. It discovers clusters and databases, inspects table schemas, executes bounded queries, and uses early time filters, projection, aggregation, and result limits to control performance and data transfer.

How do I install the Azure Kusto Skill?

Open and review the listed source, choose the project or personal path for your Agent, then verify the first run in a controlled project. Open the listed skills.sh page and upstream repository; verify the current SKILL.md.

Is the Azure Kusto Skill safe to use?

SkillSignal checked the source on 2026-08-20, but that is not a runtime test or security certification. Review the “Sensitive data exposure or expensive query” risk first and begin with the least access required.

INSIDE THE PACKAGE

Indexed files

SKILL.mdUpstream Skill instructionsSource-linked

TAGS

azurekustokql

Manually expanded from the current upstream SKILL.md and linked source at microsoft/azure-skills, checked 2026-08-20. This is an original summary, not an execution result or security certification.