azure-storage-file-datalake-py
Pass
Audited by Gen Agent Trust Hub on Mar 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill documentation correctly references official Microsoft Python packages (azure-storage-file-datalake, azure-identity) which are trusted sources.
- [SAFE]: Authentication examples use DefaultAzureCredential, a secure industry standard that avoids the use of hardcoded secrets or connection strings.
- [SAFE]: The provided Python code for interacting with Azure Data Lake Storage follows standard SDK patterns for managing file systems, directories, and files.
- [SAFE]: The inclusion of acceptance criteria that warns against anti-patterns (like hardcoding keys) further ensures that the skill promotes secure implementation.
Audit Metadata