ml4t-triple-barrier
Pass
Audited by Gen Agent Trust Hub on Sep 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructional material and Python code implementations for triple-barrier labeling, a standard technique in financial machine learning. The provided code uses the standard NumPy library to perform mathematical operations on numeric time-series data.
- [REMOTE_CODE_EXECUTION]: The skill references an external library
ml4t-engineerfor its production implementation. This library is associated with the skill's author ('ml4t') and is treated as a vendor-owned resource. There are no instructions to download or execute code from untrusted remote sources. - [INDIRECT_PROMPT_INJECTION]: The skill handles external financial price data.
- Ingestion points: The
pricesinput in thetriple_barrier_labelsfunction (SKILL.md). - Boundary markers: None required as the expected input is numeric data for mathematical computation.
- Capability inventory: The skill does not possess capabilities for file writing, network operations to unknown domains, or subprocess execution.
- Sanitization: The data is processed using numeric NumPy operations which naturally prevents natural language instruction execution.
Audit Metadata