log-analyzerlisted

# 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,