NYC

Feature Engineering

Pass

Audited by Gen Agent Trust Hub on Feb 17, 2026

Risk Level: SAFE
Full Analysis
  • [Prompt Injection] (SAFE): No instructions attempting to bypass safety filters, override system prompts, or manipulate agent behavior were found.
  • [Data Exposure & Exfiltration] (SAFE): The script operates exclusively on synthetically generated data. It does not access sensitive local file paths (e.g., SSH keys, AWS credentials) and performs no network operations.
  • [Obfuscation] (SAFE): The code and documentation are provided in clear, readable text. No Base64 encoding, zero-width characters, or homoglyphs were detected.
  • [Unverifiable Dependencies & Remote Code Execution] (SAFE): The skill relies on standard, well-known Python packages for data science (pandas, numpy, scikit-learn). There are no commands to download or execute remote scripts (e.g., curl | bash).
  • [Privilege Escalation] (SAFE): No commands requiring administrative privileges, such as sudo or system-level configuration changes, are present.
  • [Persistence Mechanisms] (SAFE): The skill does not attempt to modify startup scripts, cron jobs, or registry keys to maintain access.
  • [Indirect Prompt Injection] (SAFE): The skill processes data but lacks the combination of ingestion surfaces and exploitable capabilities (like network exfiltration or file writing) to pose a risk.
  • [Dynamic Execution] (SAFE): The script uses static function calls and standard library features. No unsafe use of eval(), exec(), or dynamic module loading was found.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 17, 2026, 05:08 PM