data-analysis-patterns
Pass
Audited by Gen Agent Trust Hub on Mar 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content and architectural patterns for scientific data workflows, focusing on accuracy and integrity in data analysis.
- [COMMAND_EXECUTION]: The skill includes a pattern for validating S3 paths using
subprocess.run(['aws', 's3', 'ls', path, '--no-sign-request'], ...). This is a standard utility function used in bioinformatics and data science to verify the existence of remote resources before processing. The use of a list for arguments insubprocess.runfollows security best practices to prevent shell injection. - [EXTERNAL_DOWNLOADS]: Identifies patterns for interacting with AWS S3 buckets to enrich local datasets with metadata. These operations use the official AWS CLI and are directed at well-known cloud infrastructure for legitimate research purposes.
- [PROMPT_INJECTION]: No evidence of prompt injection, role-play bypasses, or instructions to override agent safety guidelines were found. The language used is purely technical and instructional.
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