data-engineering-patterns-fabric-databricks
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill provides patterns for ingesting and processing data from external sources (Azure Data Lake, Delta Lake) which may contain instructions that could influence the agent's behavior if processed without sanitization.
- Ingestion points: Data loading operations such as
spark.read.format("delta").load(...),spark.readStream.format("cloudFiles"), and pipeline watermark processing. - Boundary markers: The provided snippets do not include explicit delimiter-based boundary markers or instructions to ignore embedded commands in the source data.
- Capability inventory: The patterns demonstrate significant capabilities including reading/writing to cloud storage, secret retrieval via
dbutils.secretsandmssparkutils.credentials, and job orchestration. - Sanitization: No explicit sanitization or input validation logic is shown in the data ingestion patterns.
- [EXTERNAL_DOWNLOADS]: The skill documentation encourages the user to clone an external repository to access PDF resources.
- Source:
https://github.com/ssanjaychandra123/data-engineering-patterns.git
Audit Metadata