magic-data-exploration

Pass

Audited by Gen Agent Trust Hub on Jul 14, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill uses deterministic Python code for all analytical tasks, relying on established libraries like pandas and scipy for statistical calculations and data manipulation.
  • [SAFE]: The prepare_for_exploration.py script implements a secure 'allow-list' approach for dynamic column operations. By mapping specific keywords to lambda functions, it explicitly avoids the use of eval() or exec(), preventing potential code injection vulnerabilities.
  • [SAFE]: Database exploration patterns correctly utilize environment variables (DATABASE_URL) for connection strings. This ensures that sensitive credentials are not hardcoded within the skill or instructions, adhering to secret management best practices.
  • [SAFE]: The skill enforces a 'read-only' constraint during the exploration phase, ensuring that raw data is not modified or deleted while performing analysis.
  • [SAFE]: Text processing logic in detect_patterns.py uses regular expressions to identify patterns (URLs, emails, phones) but does not execute or navigate to these strings, mitigating risks associated with malicious data content.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 14, 2026, 11:49 AM
Security Audit — agent-trust-hub — magic-data-exploration