| language: | |
| - en | |
| - id | |
| license: mit | |
| tags: | |
| - humanoid | |
| - instruction-intent | |
| - pre-execution | |
| - safety | |
| - reasoning | |
| - llm | |
| # instruction-intent-filter | |
| ## Model Description | |
| `instruction-intent-filter` is a language model designed to analyze the intent behind natural language instructions before execution. | |
| The model evaluates whether an instruction’s intent is clear, valid, contradictory, incomplete, or unsafe. It is intended to be used as a filtering layer for humanoid and agent systems prior to task planning or execution. | |
| ## Intended Use | |
| - Instruction intent filtering | |
| - Pre-execution decision making | |
| - Humanoid and agent safety layers | |
| - Human–AI interaction control | |
| ## Output Format | |
| The model outputs **JSON only** with the following structure: | |
| ```json | |
| { | |
| "label": "VALID | AMBIGUOUS | CONTRADICTORY | INCOMPLETE | UNSAFE", | |
| "confidence": 0.0 | |
| } | |