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detecting-aws-cloudtrail-anomalies

Detect unusual API call patterns in AWS CloudTrail logs using boto3,

SKILL.md metadata excerpt. This is the source’s description, not an instruction to this site.

mukul975/anthropic-cybersecurity-skillsskills/detecting-aws-cloudtrail-anomalies/SKILL.md

Before you use it

Input
Not independently summarized. Check the source’s scope and examples.
Expected output
Not independently summarized; do not assume a ready-to-use artifact.
Prerequisites
Review the source instructions, scripts, accounts and tools in your intended environment.

Installation guidance is not individually established for this example. Read the source and confirm its requirements.

Publisher documentation, static file observations and environment tests are different kinds of evidence. Runtime behavior has not been observed.

Study the method

Start with the task scope and instructions, then inspect supporting files and examples. Compare the workflow with your own inputs, constraints and intended result.

4 files in the observed scope; 1 in scripts/, 1 in references/, 0 in assets/.

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Zero files in scripts/ does not mean no execution, network access or file writes. Markdown and other folders may describe or contain executable behavior.

Source version and requirements

Observed
2026-09-12T11:41:10.750Z
Source commit
54a798831d2266a3ca61ce68a7acb80b81160d57
Content SHA-256
363865b0494e93aa43154a1d613f1a8311df283207c19a901631a410e47b47f2
License
Apache-2.0
Author attribution
Repository owner: mukul975. Individual authorship is not independently established.
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Reference note and manual copy