pandas-pro

Pass

Audited by Gen Agent Trust Hub on Jul 10, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill functions as a reference for pandas-based data manipulation workflows. All code snippets and patterns align with standard data science practices and do not exhibit malicious intent.- [COMMAND_EXECUTION]: There is no evidence of shell command execution, subprocess spawning, or unauthorized system access. The scope is limited to Python library operations.- [DATA_EXFILTRATION]: No network operations (e.g., curl, wget, requests) or access to sensitive directories (e.g., .ssh, .aws) are present in the code or instructions.- [REMOTE_CODE_EXECUTION]: While the skill mentions dynamic tools like pd.eval() and numba.jit for performance optimization, these are used within the context of local DataFrame processing and do not incorporate untrusted external input.- [PROMPT_INJECTION]: The skill's instructions and constraints are focused on coding efficiency and data integrity, with no attempts to bypass safety filters or override agent behavioral constraints.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 10, 2026, 09:33 AM
Security Audit — agent-trust-hub — pandas-pro