domain-ml
Pass
Audited by Gen Agent Trust Hub on Oct 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides architectural guidelines, design patterns, and crate recommendations for machine learning development in Rust. No malicious code, data exfiltration patterns, or obfuscation were detected.
- [INDIRECT_PROMPT_INJECTION]: The skill describes patterns for ingesting external numeric data (f32 tensors) for model inference.
- Ingestion points: The
predictandbatch_predictfunctions inSKILL.mdaccept external data inputs. - Boundary markers: Not present in the provided code snippets.
- Capability inventory: No dangerous capabilities (e.g., file writing, network operations, or subprocess execution) are utilized in the examples.
- Sanitization: Not present. However, because the input type is limited to numeric tensors and the skill lacks exploitable capabilities, the configuration is safe.
Audit Metadata