pyspark-etl
Pass
Audited by Gen Agent Trust Hub on Oct 9, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill defines patterns for reading and processing data from external sources, creating a surface for potential indirect prompt injection attacks.
- Ingestion points: The
PartitionedReaderclass and the Iceberg metadata lookups inSKILL.mdconsume data from external Spark tables. - Boundary markers: The provided code templates do not include delimiters or instructions to treat ingested data as untrusted content.
- Capability inventory: The skill utilizes powerful data transformation and write capabilities (
insertInto,merge), which could be misused if instructions in the source data were interpreted as commands. - Sanitization: No content-level sanitization, escaping, or validation logic is present in the ETL class scaffolds.
Audit Metadata