instruction-safety-gate

Model Description

instruction-safety-gate is a language model designed to act as a safety layer that evaluates natural language instructions before execution.

The model determines whether an instruction can be safely executed by classifying it as valid, ambiguous, contradictory, incomplete, or unsafe. It is intended to prevent unsafe or invalid instructions from reaching humanoid or agent execution systems.

Intended Use

• Safety gating for humanoid robots
• Pre-execution instruction screening
• AI agent risk detection
• Control layers for autonomous systems

Output Format

The model outputs JSON only:

{
  "label": "VALID | AMBIGUOUS | CONTRADICTORY | INCOMPLETE | UNSAFE",
  "confidence": 0.0
}