hara-stage1

What problem does it solve?

This Skill helps you derive Stage 1 function-level malfunction entries from Stage 0 function mappings, ensuring every output row is traceable to each function’s detail_text and conforms to the required JSON contract.

Core Features & Use Cases

• Stage 1 malfunction derivation: Produces per-function derive_mf rows for the fixed set of malfunction fields (functional loss, over/under magnitude, early/late timing, unintended activation, stiction, direction error).
• Deterministic, contract-first workflow: Enforces row counts, numbering rules, and mandatory nan vs non-nan consistency through slice outputs and subsequent Stage1R review.
• Controlled knowledge loading: Only consults relevant knowledge files when needed, while keeping risk/scenario/security goal knowledge out of this stage.
• Use case: When you already have Stage 0 function-to-ID mappings for a vehicle HARA run, you can generate output/<RUN_ID>_stage1_derive_mf.json for downstream semantic review and later stages.

Quick Start

Run the Stage 1 context preparation (only if needed) and then generate slice outputs per Function_ID to proceed into Stage1R semantic review before merging into the final Stage 1 derive file.