building-cloud-siem-with-sentinel

building-cloud-siem-with-sentinel is a skill for Claude Code, Codex from autohandai/community-skills. It costs 78 tokens per session (2,898 once invoked), scanned A, a copy of building-cloud-siem-with-sentinel, Apache-2.0.

A guide to deploying Microsoft Sentinel, a cloud-based SIEM and SOAR service for collecting security logs and responding to incidents. It covers multi-cloud log connectors, KQL queries, and Logic Apps response workflows.

In plain words
What is it for?
It helps configure a Sentinel workspace, connect cloud data sources, write detection and threat-hunting queries, build response playbooks, and use threat-intelligence feeds.
Why use it?
It gives security teams one place to analyse logs from Azure, AWS, and Google Cloud. Automated response workflows can reduce repetitive incident-handling work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps configure a Sentinel workspace, connect cloud data sources, write detection and threat-hunting queries, build response playbooks, and use threat-intelligence feeds.

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Install with agentmods
npx agentmods add skills/autohandai/community-skills/building-cloud-siem-with-sentinel
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add autohandai/community-skills --skill building-cloud-siem-with-sentinel
Clone the repo
git clone --depth 1 https://github.com/autohandai/community-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for building-cloud-siem-with-sentinel

README.md
[![agentmods](https://agentmods.dev/badge/skills/autohandai/community-skills/building-cloud-siem-with-sentinel/github.svg)](https://agentmods.dev/skills/autohandai/community-skills/building-cloud-siem-with-sentinel)
Your own site
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-cloud-siem-with-sentinel"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-cloud-siem-with-sentinel/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for building-cloud-siem-with-sentinel

Your own site · 80×15
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-cloud-siem-with-sentinel"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-cloud-siem-with-sentinel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,898 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.02898
Opus 5 $0.00039 $0.01449
Sonnet 5 $0.00016 $0.00580
Haiku 4.5 $0.00008 $0.00290

Measured 9d ago against content hash ba98aba831f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

building-cloud-siem-with-sentinel scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

88% identical to building-cloud-siem-with-sentinel — 42 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

building-cloud-siem-with-sentinel/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building Cloud SIEM with Sentinel

When to Use

  • When establishing a centralized security operations center for multi-cloud environments
  • When migrating from legacy SIEM platforms (Splunk, QRadar) to cloud-native architecture
  • When building automated incident response workflows for cloud-specific threats
  • When performing large-scale threat hunting across petabytes of security telemetry
  • When integrating threat intelligence feeds with cloud security log analysis

Do not use for AWS-only environments where Security Hub and GuardDuty suffice, for endpoint detection requiring EDR capabilities (use Defender for Endpoint), or for compliance posture monitoring (see building-cloud-security-posture-management).

Prerequisites

  • Azure subscription with Microsoft Sentinel enabled on a Log Analytics workspace
  • Data connector permissions for target log sources (AWS CloudTrail, Azure Activity, GCP)
  • Logic Apps or Azure Functions for automated response playbooks
  • KQL (Kusto Query Language) proficiency for writing detection rules and hunting queries

Workflow

Step 1: Provision Sentinel Workspace and Data Connectors

Create a Log Analytics workspace optimized for security data and enable data connectors for multi-cloud ingestion.

# Create Log Analytics workspace
az monitor log-analytics workspace create \
  --resource-group security-rg \
  --workspace-name sentinel-workspace \
  --location eastus \
  --retention-time 365 \
  --sku PerGB2018

# Enable Microsoft Sentinel on the workspace
az sentinel onboarding-state create \
  --resource-group security-rg \
  --workspace-name sentinel-workspace

# Enable AWS CloudTrail connector
az sentinel data-connector create \
  --resource-group security-rg \
  --workspace-name sentinel-workspace \
  --data-connector-id aws-cloudtrail \
  --kind AmazonWebServicesCloudTrail \
  --aws-cloud-trail-data-connector '{
    "awsRoleArn": "arn:aws:iam::123456789012:role/SentinelCloudTrailRole",
    "dataTypes": {"logs": {"state": "Enabled"}}
  }'

# Enable Azure AD sign-in and audit logs
az sentinel data-connector create \
  --resource-group security-rg \
  --workspace-name sentinel-workspace \
  --data-connector-id azure-ad \
  --kind AzureActiveDirectory \
  --azure-active-directory '{
    "dataTypes": {
      "alerts": {"state": "Enabled"},
      "signinLogs": {"state": "Enabled"},
      "auditLogs": {"state": "Enabled"}
    }
  }'

Read the full file on GitHub · 300 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 300 lines · 78 tokens per session scan A ba98aba831f8

Subscribe to this mod's changes

building-cloud-siem-with-sentinel is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 78 tokens to every session and 2,898 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to building-cloud-siem-with-sentinel, differing in 42 lines, and is treated as a copy.

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