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Agent skill

Analyzing Azure Activity Logs For Threats

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications.

Apache-2.0Auto-check passedSecurity

Install Analyzing Azure Activity Logs For Threats

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-azure-activity-logs-for-threats -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-azure-activity-logs-for-threats --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-azure-activity-logs-for-threats .claude/skills/analyzing-azure-activity-logs-for-threats && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyzing-azure-activity-logs-for-threats
GitHub stars
34k
Token cost
~609 tokens
SKILL.md length
135 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications.

  • Works in 5 steps: Role assignment changes (privilege… → Resource group and subscription… → Key vault secret access from new IPs → …
  • Investigating suspicious Azure tenant activity
  • SKILL.md covers When to Use, Prerequisites, Instructions and Examples
  • Runs Python scripts from its folder

What it does

Analyzing Azure Activity Logs For Threats is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security, covering Security operations and Red teaming and adversary simulation. It works with Microsoft Azure, Azure Monitor and Microsoft Sentinel. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Investigating suspicious Azure tenant activity
  • Building cloud SIEM detections

Example prompts

  • “Use the analyzing-azure-activity-logs-for-threats skill to query Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect…”
  • “/analyzing-azure-activity-logs-for-threats”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Role assignment changes (privilege escalation)
  2. Resource group and subscription modifications
  3. Key vault secret access from new IPs
  4. Network security group rule changes
  5. Conditional access policy modifications

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Analyzing Azure Activity Logs For Threats loads about 609 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 135 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~609
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 135 words, ~609 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-azure-activity-logs-for-threats/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
analyzing-azure-activity-logs-for-threats
description
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
domain
cybersecurity
subdomain
security-operations
tags
azure, cloud-security, azure-monitor, kql, threat-hunting, activity-logs
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
DE.CM-01, RS.MA-01, GV.OV-01, DE.AE-02
mitre_attack
T1078.004, T1098.003, T1538, T1556.009, T1580

Analyzing Azure Activity Logs for Threats

When to Use

  • When investigating security incidents that require analyzing azure activity logs for threats
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Familiarity with security operations concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

Use azure-monitor-query to execute KQL queries against Azure Log Analytics workspaces, detecting suspicious admin operations and sign-in anomalies.

python
from azure.identity import DefaultAzureCredential
from azure.monitor.query import LogsQueryClient
from datetime import timedelta

credential = DefaultAzureCredential()
client = LogsQueryClient(credential)

response = client.query_workspace(
    workspace_id="WORKSPACE_ID",
    query="AzureActivity | where OperationNameValue has 'MICROSOFT.AUTHORIZATION/ROLEASSIGNMENTS/WRITE' | take 10",
    timespan=timedelta(hours=24),
)

Key detection queries:

  1. Role assignment changes (privilege escalation)
  2. Resource group and subscription modifications
  3. Key vault secret access from new IPs
  4. Network security group rule changes
  5. Conditional access policy modifications

Examples

python
# Detect new Global Admin role assignments
query = '''
AuditLogs
| where OperationName == "Add member to role"
| where TargetResources[0].modifiedProperties[0].newValue has "Global Administrator"
'''

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/analyzing-azure-activity-logs-for-threats of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Analyzing Azure Activity Logs For Threats next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Analyzing Azure Activity Logs For Threats compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyzing Azure Activity Logs For Threats this skillmukul975/Anthropic-Cybersecurity-Skills34k—~609Automated safety check: PassApache-2.0
Azure Kusto Irqlmicrosoft/GitHub-Copilot-for-Azure255—~2.6kAutomated safety check: PassMIT
Siem Loggingancoleman/ai-design-components525—~3.4kAutomated safety check: PassMIT
Cloud Defensetransilienceai/communitytools563—~476Automated safety check: PassMIT
Sentinelvinayaklatthe/microsoft-security-skills175—~2.2kAutomated safety check: PassMIT
Investigating Azure Incidentstrilwu/secskills157—~5.3kAutomated safety check: PassMIT

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Works with

Categories

Questions about Analyzing Azure Activity Logs For Threats

What does Analyzing Azure Activity Logs For Threats do?

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Analyzing Azure Activity Logs For Threats is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications.

When should I use Analyzing Azure Activity Logs For Threats?

Analyzing Azure Activity Logs For Threats fits situations like: investigating suspicious Azure tenant activity; building cloud SIEM detections.

How do I install Analyzing Azure Activity Logs For Threats in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-azure-activity-logs-for-threats -a claude-code`. Or copy the skill folder (skills/analyzing-azure-activity-logs-for-threats in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-azure-activity-logs-for-threats in your project. Claude Code loads it when a task matches its description.

How do I install Analyzing Azure Activity Logs For Threats in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-azure-activity-logs-for-threats -a codex`. Or copy the skill folder (skills/analyzing-azure-activity-logs-for-threats in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-azure-activity-logs-for-threats in your project. Codex loads it when a task matches its description.

Can I use Analyzing Azure Activity Logs For Threats in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-azure-activity-logs-for-threats -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-azure-activity-logs-for-threats, .gemini/skills/analyzing-azure-activity-logs-for-threats, .github/skills/analyzing-azure-activity-logs-for-threats and .opencode/skills/analyzing-azure-activity-logs-for-threats in your project.

What does Analyzing Azure Activity Logs For Threats need to run?

Going by SKILL.md and its folder, Analyzing Azure Activity Logs For Threats needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Analyzing Azure Activity Logs For Threats access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analyzing Azure Activity Logs For Threats safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Analyzing Azure Activity Logs For Threats use?

Analyzing Azure Activity Logs For Threats is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyzing Azure Activity Logs For Threats use?

About 609 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 411 tokens, read only when the agent opens those files.

What are the alternatives to Analyzing Azure Activity Logs For Threats?

Skills that share tags, products or a category with Analyzing Azure Activity Logs For Threats: Azure Kusto Irql (microsoft/GitHub-Copilot-for-Azure, 255 stars), Siem Logging (ancoleman/ai-design-components, 525 stars), Cloud Defense (transilienceai/communitytools, 563 stars) and Sentinel (vinayaklatthe/microsoft-security-skills, 175 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing Azure Activity Logs For Threats?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.