compliance-surveillance

Pass

Audited by Gen Agent Trust Hub on Sep 3, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill ingests external data from CSV files, which is a standard entry point for data processing but represents a potential attack surface.
  • Ingestion points: The scripts/compliance_surveillance_diagnostics.py script reads external content from a user-supplied CSV file via command-line arguments.
  • Boundary markers: The skill relies on the structured nature of CSV files without explicit delimiters for embedded natural language.
  • Capability inventory: The script is limited to calculating statistical summaries (mean, standard deviation, quantiles) using pandas and writing the output to a JSON file. It lacks network access, shell execution, or high-privilege operations.
  • Sanitization: The script performs type validation using pd.to_numeric(errors='coerce') and pd.to_datetime, which mitigates the risk of non-numeric or malformed data influencing the analysis logic.
  • [SAFE]: The code implements standard data science practices for financial compliance. No obfuscation, data exfiltration, or privilege escalation patterns were found.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 3, 2026, 08:45 AM
Security Audit — agent-trust-hub — compliance-surveillance