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-engineer for 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 prices input in the triple_barrier_labels function (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
Risk Level
SAFE
Analyzed
Sep 13, 2026, 12:25 PM