pandas-pro
Pass
Audited by Gen Agent Trust Hub on Mar 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides high-quality, professional instructions for data engineering tasks using the pandas library. No malicious overrides or safety bypass attempts were detected.
- [SAFE]: Data processing operations are confined to standard library usage (pandas, numpy). There are no attempts to access sensitive system files, environment variables, or credentials.
- [SAFE]: All external references are internal markdown files within the skill repository. No suspicious remote downloads or unverified third-party dependencies are invoked.
- [SAFE]: No obfuscation techniques such as Base64 encoding, zero-width characters, or homoglyphs were found in the instructions or reference code.
- [SAFE]: The performance optimization section correctly recommends standard industry tools like Numba for JIT compilation and PyArrow for memory efficiency, which are used appropriately within the context of data processing.
Audit Metadata