fuel-distribution
Pass
Audited by Gen Agent Trust Hub on Sep 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses industry-standard Python libraries (NumPy, Pandas, SciPy, PuLP, scikit-learn) for petroleum logistics, demand forecasting, and price optimization. All code blocks demonstrate legitimate mathematical and business logic for inventory reordering, vehicle routing, and terminal scheduling without suspicious network, file system, or privilege escalation operations.
- [INDIRECT_PROMPT_INJECTION]: The skill processes external datasets including sales history, weather data, and event calendars for forecasting. While this represents a potential ingestion surface for untrusted data, the skill processes this information as structured numerical/categorical data for machine learning and linear programming, significantly mitigating the risk of the LLM interpreting data as instructions.
- Ingestion points: historical_sales, weather_data, and events_calendar in SKILL.md.
- Boundary markers: None.
- Capability inventory: Data manipulation, ML model training (GradientBoostingRegressor), and LP optimization (PuLP). No network or file-system write operations.
- Sanitization: Data is converted to numerical features and scaled using StandardScaler.
Audit Metadata