csv-data-analyzer
Pass
Audited by Gen Agent Trust Hub on Apr 2, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements standard data science workflows for CSV processing using trusted libraries like pandas, numpy, and scipy. The logic is focused on data profiling and statistical summary generation.
- [PROMPT_INJECTION]: The skill exposes a surface for processing untrusted data, which is a common characteristic of data analysis tools.
- Ingestion points: The
load_and_profile_csvfunction inSKILL.mdloads external CSV files. - Boundary markers: No specific delimiters or safety instructions are defined in the code snippets.
- Capability inventory: File reading via
pandas. No shell execution, network access, or dynamic code evaluation detected in the provided code. - Sanitization: The skill includes data cleaning logic, such as standardizing column names and handling missing values, though these are designed for data quality rather than security sanitization. These factors represent a low-risk profile inherent to data processing skills.
Audit Metadata