Data Cleaning Pipeline
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- Prompt Injection (SAFE): No instructions found that attempt to override agent behavior or bypass safety filters. All instructions are focused on the intended data processing task.
- Data Exposure & Exfiltration (SAFE): The script reads a local file ('raw_data.csv') for processing, which is expected for its purpose. There are no hardcoded credentials, sensitive file path accesses, or network exfiltration attempts detected.
- Obfuscation (SAFE): No obfuscated code, encoded strings, or hidden characters were found in the skill or the accompanying Python scripts.
- Unverifiable Dependencies & Remote Code Execution (SAFE): The skill uses standard, well-known libraries (pandas, numpy, scikit-learn). There are no commands that download or execute remote scripts (e.g., curl | bash) or use unsafe functions like eval().
- Privilege Escalation & Persistence (SAFE): No attempts to acquire elevated permissions or establish persistent access were found.
- Indirect Prompt Injection (SAFE): While the skill processes external data (CSV), it lacks dangerous capabilities (like network requests or shell execution) that could be triggered by malicious instructions embedded in a dataset.
- Dynamic Execution (SAFE): The script uses standard programming patterns (lambdas and function lists) to build the cleaning pipeline. It does not perform unsafe dynamic execution of string-based code.
Audit Metadata