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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.
webapp-detecting-aws-cloudtrail-anomalies is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Detecting AWS CloudTrail Anomalies ## Overview AWS CloudTrail records API calls across AWS services. This skill covers querying CloudTrail events with boto3's. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding webapp-detecting-aws-cloudtrail-anomalies to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install bitbytelabio/arsenalReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Detecting AWS CloudTrail Anomalies ## Overview AWS CloudTrail records API calls across AWS services. This skill covers querying CloudTrail events with boto3's `lookup_events` API