What problem does it solve?
Generic AI-generated arc-flash paperwork is routinely rejected by regulators: it uses vague equipment descriptions, defaults to PPE as the primary control, lacks valid de-energization justifications, invents fault current and clearing time parameters, and leaks sensitive worker health and incident data. This skill eliminates those failures by enforcing a de-energize-first hierarchy of controls, requiring computed (not narrated) incident energy metrics, and mandating strict de-identification of all personal and health data before any output is produced.
Core Features & Use Cases
- De-energize-first hierarchy enforcement: Records an electrically safe work condition (per NFPA 70E Article 120) before any PPE selection, and rejects convenience-only energized work justifications that fail OSHA 1910.333(a)(2) or EAWR reg 14 requirements.
- Deterministic IEEE 1584-2018 computation: Generates accurate incident energy, arc-flash boundary, and PPE category values via a dedicated engine, with no invented parameters — missing inputs are flagged as [GAP] and a short-circuit study is requested instead.
- Regulatory-compliant, de-identified outputs: Produces NFPA 70E 130.5(H) arc-flash labels, full risk assessments, and role-labelled incident context with no leaked personal data, aligned with NFPA 70E (2024), IEEE 1584-2018, OSHA, EAWR, and India CEA/state electricity rules.
- Use Case: An electrical safety lead needs a defensible arc-flash assessment for a 480 V motor control centre at their substation, including a valid de-energization decision, computed incident energy values, and compliant label content for regulator review.
Quick Start
Use the arc-flash-assessment skill to produce a compliant arc-flash risk assessment for your named electrical equipment, providing the exact equipment details, de-energization decision, and IEEE 1584 electrical parameters when prompted.