data-cleaning-and-visualization
Pass
Audited by Gen Agent Trust Hub on Sep 5, 2026
Risk Level: SAFECOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
- [DYNAMIC_EXECUTION]: The script
scripts/robust_loader.pyutilizesimportlib.import_moduleto dynamically check for and load optional dependencies such asopenpyxl,xlrd,pandas,pypdf, andpdfplumber. This is implemented as a safety feature to provide informative error messages if required libraries are missing from the execution environment. - [COMMAND_EXECUTION]: The orchestration script
scripts/run_pipeline.pyusessubprocess.runto execute other internal scripts (robust_loader.py,clean_data.py, etc.) in a sequential pipeline. The commands are constructed usingsys.executableand localized script paths, representing standard process management for a multi-step workflow. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process external data files from
problem_files/andcrawled_data/directories. While this presents a surface for indirect prompt injection if data contains malicious instructions, the risk is low as the data is parsed as structured content usingpandasandjsonlibraries rather than being executed as instructions. - [SAFE]: The skill adheres to best practices by scoping file operations to a dedicated
paper_output/directory and utilizing a manifest-based approach (input_manifest.json) to validate inputs before processing.
Audit Metadata