Configure security information and event management (SIEM) systems for threat detection, log aggregation, and compliance.
SkillScore92Maintained
Automatic
◆Security & AppSec pack
Last verified 8/21/2026
What it changes
Passed 24 of 26 test cases with the skill, and 21 of 26 without it.
Without skill81%
With skill92%
Checks it passed that the model alone missed
Targets keeping total daily alerts below 100.
Categorizes routine configuration changes as Medium severity.
Recommends raising the threshold count to 10 attempts in 10 minutes.
and 1 more in the full report
4 fixed20 passed either way1 still failing1 broke
Pass-rate lift
+12 pp
Tokens
+184%
Agent turns
0%
Response time
-23%
Model gemini-3.6-flashMeasured 8/21/2026v124 of 26 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 4
Prompt
A security operations center wants to cap daily alert volume to prevent analyst burnout. What maximum threshold of total alerts per day should the SIEM alert tuning aim to remain under?
What was checked, without and with the skill
Checked
Without skill
With skill
Targets keeping total daily alerts below 100.
Missed
Passed
case-12 · gemini-3.6-flash · 8/21/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md400 lines8 filesincludes scripts
SIEM Logging
Purpose
Configure comprehensive security logging infrastructure using SIEM platforms (Elastic SIEM, Microsoft Sentinel, Wazuh, Splunk) to detect threats, investigate incidents, and maintain compliance audit trails. This skill covers platform selection, log aggregation architecture, detection rule development (SIGMA format and platform-specific), alert tuning, and retention policies for regulatory compliance (GDPR, HIPAA, PCI DSS, SOC 2).
When to Use This Skill
Use this skill when:
Implementing centralized security event monitoring across infrastructure
Writing threat detection rules for authentication failures, privilege escalation, data exfiltration
Designing log aggregation for multi-cloud environments (AWS, Azure, GCP, Kubernetes)
Meeting compliance requirements for log retention and audit trails
Tuning security alerts to reduce false positives and alert fatigue
Calculating costs for high-volume security logging (TB/day scale)
Integrating security logging with incident response workflows