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