Detect unusual API call patterns in AWS CloudTrail logs using boto3, statistical baselining, and behavioral analysis to identify credential compromise, privilege escalation, and unauthorized resource access.
Installs into .claude/skills of the current project.
Are you the author of Cyber Detecting Aws Cloudtrail Anomalies?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/nexuslinkproductions-cyber-detecting-aws-cloudtrail-anomalies)
---
name: cyber-detecting-aws-cloudtrail-anomalies
description: "Detect unusual API call patterns in AWS CloudTrail logs using boto3, statistical baselining, and behavioral analysis to identify credential compromise, privilege escalation, and unauthorized resource access."
hide: true
---
<!-- GENERATED:YURI-CODEX-SKILL-ADAPTER:v1 -->
# YURI skill adapter
Authoritative source: `.claude/skills/cyber-detecting-aws-cloudtrail-anomalies/SKILL.md`
Authoritative source SHA-256: `211919431e1545369a9850894bc4cb0c5fdd7c1057fe6857a6bab014a0a560c7`
Source class: `cyber-armed`
Before acting, read the authoritative source file above completely from beginning to end. If the governed source is absent, run `node _SYSTEM/Scripts/skill-recall.mjs --show cyber-detecting-aws-cloudtrail-anomalies` and read its complete verified output. Follow that source as the skill body; this adapter is a non-authoritative metadata-and-pointer projection.
