1d-cutting-stock
Pass
Audited by Gen Agent Trust Hub on Sep 20, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill references standard, well-known Python libraries for linear programming and visualization, such as pulp, numpy, scipy, matplotlib, and pycutstock. These are sourced from official package registries and are standard for the problem domain.
- [INDIRECT_PROMPT_INJECTION]: The skill ingests user-provided item dimensions, quantities, and identifiers. While this is a data ingestion surface, the inputs are processed mathematically and printed in reporting templates without influencing the agent's control flow or security boundaries.
- Ingestion points: Item list definitions (lengths, quantities, and IDs) provided by the user to the optimization functions.
- Boundary markers: None.
- Capability inventory: Local Python execution for optimization algorithms, file writing for CSV cutting lists, and plot generation using Matplotlib.
- Sanitization: Not explicitly implemented in the provided mathematical logic, as data is treated as numeric parameters or display labels.
Audit Metadata