pandas-pro
Pass
Audited by Gen Agent Trust Hub on Oct 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides technical guidance for pandas development, including vectorized operations, memory optimization, and data validation. No malicious instructions or security bypasses were detected.
- [SAFE]: All code examples use standard pandas and NumPy patterns. References to external libraries like pandera, numba, and pyarrow are appropriate for high-performance data engineering tasks.
- [SAFE]: There are no network exfiltration patterns, hardcoded credentials, or obfuscated code sections within the skill or its reference files.
- [SAFE]: The instructional content focuses on production-grade performance and data integrity, adhering to established security best practices for data processing.
Audit Metadata