math-skills
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill set serves as a technical documentation hub for mathematical research tools. The provided Python and Lean code examples use well-established scientific computing libraries such as NumPy, SciPy, SymPy, and Scikit-learn.
- [EXTERNAL_DOWNLOADS]: The
oeis-apiskill demonstrates programmatic access to the On-Line Encyclopedia of Integer Sequences via their official public API (oeis.org). This is a standard and expected integration for mathematical sequence identification. - [INDIRECT_PROMPT_INJECTION]: The
lean-theorem-proving-guidedocuments an agent architecture that processes theorem statements as input. While this constitutes an ingestion point for external data, the described system utilizes the Lean 4 formal proof assistant to verify the logical correctness of all generated steps, providing a robust verification layer. - [COMMAND_EXECUTION]: The
lean-theorem-proving-guidereferences the use of a local Lean 4 installation. This is required for the tool's primary purpose of formal verification and is handled through standard tool-specific configuration.
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