exploratory-data-analysis
Pass
Audited by Gen Agent Trust Hub on Nov 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a structured approach for exploratory data analysis on over 200 scientific file formats. It consists of detailed reference guides and a Python analysis script.
- [SAFE]: The core analysis script,
scripts/eda_analyzer.py, implements safe data handling practices, using well-known libraries such as pandas, numpy, h5py, biopython, and pillow to extract metadata and statistics from local files. - [SAFE]: Analysis of the code reveals no network-based exfiltration, command injection, or privilege escalation. All file access is limited to the paths provided by the user for analysis.
- [SAFE]: The documentation includes security warnings regarding specific formats (like Python pickle) that could be used for malicious purposes if the source is untrusted, demonstrating a security-conscious design.
Audit Metadata