python-optimization
Pass
Audited by Gen Agent Trust Hub on Oct 30, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill demonstrates best practices by recommending established and trusted libraries such as scipy, pyomo, cvxpy, and GEKKO for optimization tasks. All installation instructions point to standard package registries (PyPI and Conda-forge).
- [INDIRECT_PROMPT_INJECTION]: The skill defines a framework where the agent processes user-provided mathematical formulations to generate optimization code. This creates a standard interface for handling external logic.
- Ingestion points: Mathematical objectives and constraint definitions provided by the user in the context of implementing optimization solutions in SKILL.md.
- Boundary markers: None explicitly defined, as the skill focus is on translating mathematical intent into code logic.
- Capability inventory: The implementation patterns focus on numerical computation and calls to specialized mathematical solvers (IPOPT, GLPK, etc.) which do not perform unauthorized system actions.
- Sanitization: The agent performs structural translation of user mathematical requirements into predefined Python patterns, acting as an implicit filter.
Audit Metadata