preprocessing-data-with-automated-pipelines

Pass

Audited by Gen Agent Trust Hub on Sep 9, 2026

Risk Level: SAFECOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [COMMAND_EXECUTION]: The scripts/pipeline.py script orchestrates the data pipeline by executing other local scripts (validate_data.py, transform_data.py, and handle_errors.py) via the subprocess.run function. While arguments are passed as a list to mitigate shell injection, this is the primary mechanism for script execution within the skill environment.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes user-provided data files in CSV and JSON formats, which creates an attack surface where malicious instructions embedded in the data could influence the agent's behavior during analysis or code generation. Ingestion points: Data loading and reading operations in scripts/validate_data.py (lines 61 and 91) and scripts/transform_data.py (line 33). Boundary markers: No specific delimiters or instructions to ignore embedded commands are present in the processing logic. Capability inventory: Use of subprocess.run in scripts/pipeline.py and Write and Bash tools as defined in SKILL.md. Sanitization: No content-based sanitization or validation is performed beyond standard data format parsing.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 9, 2026, 03:45 AM