Log Analyzer

Use this skill when the user wants to review security logs for suspicious activity, apply known event patterns, or summarize noteworthy events from CloudTrail or similar sources.

Goal

Help Claude identify suspicious log events, explain their likely significance, and present findings in a concise format suitable for investigation or audit review.

Workflow

1. Confirm whether the user is analyzing local log files or using a live mode such as AWS.
2. Review the log source and any custom pattern library the user wants applied.
3. Identify suspicious events, severity patterns, and time-bounded activity relevant to the request.
4. Distinguish clear findings from low-confidence or context-dependent matches.
5. Summarize the key events, likely risks, and recommended follow-up actions.

Inputs

Expected inputs from the bundled tool metadata:

• logs: Optional path to a local JSON-lines log file.
• patterns: Optional path to custom suspicious-event patterns.
• mode: Optional execution mode such as local or aws.
• start: Optional ISO timestamp filter start.
• end: Optional ISO timestamp filter end.

Bundled Files

• main.py contains the executable log analysis logic.
• README.md provides examples and usage notes.
• skill.yaml captures the repo-native metadata for this skill.
• sample_input may contain representative log data and patterns.

Guidance

Prioritize clarity over volume. Surface the most important suspicious events first, explain the reasoning, and note when additional context is needed before drawing conclusions.