correlating-security-events-in-qradar

correlating-security-events-in-qradar is a skill for Claude Code from 26zl/cybersec-toolkit. It costs 78 tokens per session (2,571 once invoked), scanned A, a copy of correlating-security-events-in-qradar, MIT.

A guide to correlating security events in IBM QRadar, a security information and event management system that collects logs and raises incidents called offenses. It uses QRadar queries and rules to connect related activity across systems.

In plain words
What is it for?
Use it to investigate offenses, query contributing events, build correlation rules, manage allowlists and watchlists, and improve alert quality.
Why use it?
It helps analysts see a multi-step attack as one pattern instead of many separate alerts. Tuning the rules can also reduce false alarms.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the cybersec-toolkit plugin — 197 skills, 2 hooks, 1 MCP server shipped together

Good fit Use it to investigate offenses, query contributing events, build correlation rules, manage allowlists and watchlists, and improve alert quality.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/26zl/cybersec-toolkit/correlating-security-events-in-qradar
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 26zl/cybersec-toolkit --skill correlating-security-events-in-qradar
Clone the repo
git clone --depth 1 https://github.com/26zl/cybersec-toolkit

Made for: Claude Code.

Or install cybersec-toolkit, the plugin that ships this one along with the rest of its 197 skills, 2 hooks, 1 MCP server.

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 correlating-security-events-in-qradar

README.md
[![agentmods](https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/correlating-security-events-in-qradar/github.svg)](https://agentmods.dev/skills/26zl/cybersec-toolkit/correlating-security-events-in-qradar)
Your own site
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/correlating-security-events-in-qradar"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/correlating-security-events-in-qradar/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 correlating-security-events-in-qradar

Your own site · 80×15
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/correlating-security-events-in-qradar"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/correlating-security-events-in-qradar.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 2,571 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% 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 $0.02571
Opus 5 $0.00039 $0.01286
Sonnet 5 $0.00016 $0.00514
Haiku 4.5 $0.00008 $0.00257

Measured 9d ago against content hash e93700ad34d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

correlating-security-events-in-qradar scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "https://qradar.example.com/api/reference_data/sets" \
Origin

This is a copy

100% identical to correlating-security-events-in-qradar — 0 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.

.claude/skills/correlating-security-events-in-qradar/SKILL.md · 296 lines

How it starts

The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Correlating Security Events in QRadar

When to Use

Use this skill when:

  • SOC analysts need to investigate QRadar offenses and correlate events across multiple log sources
  • Detection engineers build custom correlation rules to identify multi-stage attacks
  • Alert tuning is required to reduce false positive offenses and improve signal quality
  • The team migrates from basic event monitoring to behavior-based correlation

Do not use for log source onboarding or parsing — that requires QRadar administrator access and DSM editor knowledge.

Prerequisites

  • IBM QRadar SIEM 7.5+ with offense management enabled
  • AQL knowledge for ad-hoc event and flow queries
  • Log sources normalized with proper QID mappings (Windows, firewall, proxy, endpoint)
  • User role with offense management, rule creation, and AQL search permissions
  • Reference sets/maps configured for whitelist and watchlist management

Workflow

Step 1: Investigate an Offense with AQL

Open an offense in QRadar and query contributing events using AQL (Ariel Query Language):

SELECT DATEFORMAT(startTime, 'yyyy-MM-dd HH:mm:ss') AS event_time,
       sourceIP, destinationIP, username,
       LOGSOURCENAME(logSourceId) AS log_source,
       QIDNAME(qid) AS event_name,
       category, magnitude
FROM events
WHERE INOFFENSE(12345)
ORDER BY startTime ASC
LIMIT 500

Pivot on the source IP to find all activity:

SELECT DATEFORMAT(startTime, 'yyyy-MM-dd HH:mm:ss') AS event_time,
       destinationIP, destinationPort, username,
       QIDNAME(qid) AS event_name,
       eventCount, category
FROM events
WHERE sourceIP = '192.168.1.105'
  AND startTime > NOW() - 24*60*60*1000
ORDER BY startTime ASC
LIMIT 1000

Step 2: Build a Custom Correlation Rule

Create a multi-condition rule detecting brute force followed by successful login:

Rule 1 — Brute Force Detection (Building Block):

Rule Type: Event
Rule Name: BB: Multiple Failed Logins from Same Source
Tests:
  - When the event(s) were detected by one or more of [Local]
  - AND when the event QID is one of [Authentication Failure (5000001)]
  - AND when at least 10 events are seen with the same Source IP
    in 5 minutes
Rule Action: Dispatch new event (Category: Authentication, QID: Custom_BruteForce)

Read the full file on GitHub · 296 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 · 296 lines · 78 tokens per session scan A e93700ad34d3

Subscribe to this mod's changes

correlating-security-events-in-qradar is a skill published in the GitHub repository 26zl/cybersec-toolkit (54 stars, last pushed today), licensed MIT. It adds 78 tokens to every session and 2,571 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to correlating-security-events-in-qradar, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

correlating-security-events-in-qradar

Correlates security events in IBM QRadar SIEM using AQL (Ariel Query Language), custom rules, building blocks, and offense management to detect multi-stage attacks across network, endpoint, and application log sources. Use when SOC analysts need to investigate QRadar offenses, build correlation rules, or tune…

adriannoes/awesome-agentic-ai · 78 tokens

correlating-security-events-in-qradar

Correlates security events in IBM QRadar SIEM using AQL (Ariel Query Language), custom rules, building blocks, and offense management to detect multi-stage attacks across network, endpoint, and application log sources. Use when SOC analysts need to investigate QRadar offenses, build correlation rules, or tune…

Youngmaidainon/Agent-Level-Up · 78 tokens

correlating-security-events-in-qradar

Correlates security events in IBM QRadar SIEM using AQL (Ariel Query Language), custom rules, building blocks, and offense management to detect multi-stage attacks across network, endpoint, and application log sources. Use when SOC analysts need to investigate QRadar offenses, build correlation rules, or tune…

Njones17/AI-agent-master-cyber-skills-list · 78 tokens

detecting-aws-guardduty-findings-automation

Automate AWS GuardDuty threat detection findings processing using EventBridge and Lambda to enable real-time incident response, automatic quarantine of compromised resources, and security notification workflows.

xalgorix/xalgorix · 45 tokens

CSOC Operations & Playbook Automation

SOC alert triage, incident playbook automation, escalation workflows, shift reporting, and SOC KPI tracking.

Masriyan/Claude-Code-CyberSecurity-Skill · 28 tokens

Log Analysis & SIEM Integration

Security log parsing, anomaly detection, SIEM query building, Sigma rule creation, and correlation rule development across Splunk, Elastic, QRadar, and Microsoft Sentinel.

Masriyan/Claude-Code-CyberSecurity-Skill · 39 tokens