hazid-facilitator

Structure and record HAZID workshop findings with de-identified hazard registers.

1|Updated Jun 14, 2026
One-click install
npx skills add https://github.com/ashley-eyekyam/hse-leadership-skills --skill hazid-facilitator
Or copy as Structured Prompt for Agent
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Skill: hazid-facilitator
Source: https://github.com/ashley-eyekyam/hse-leadership-skills/tree/main/skills/hazid-facilitator
Command: npx skills add https://github.com/ashley-eyekyam/hse-leadership-skills --skill hazid-facilitator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Generic AI-generated HAZID outputs are often unstructured, miss critical external and environmental hazards, fabricate risk ranks or controls to fill gaps, or leak sensitive participant and injury data. This skill eliminates those failures by enforcing a structured, team-led intake process, mandatory de-identification, strict no-fabrication rules, and hierarchy of controls validation to produce defensible, regulator-ready hazard registers.

Core Features & Use Cases

  • Structured Multi-Step Intake: Guides users through a one-question-at-a-time elicitation process to bound the HAZID scope (named installation/life-cycle stage), capture all required hazard categories (process, mechanical, electrical, external/natural, environmental, utilities loss, neighbouring knock-on), identify receptors for external/environmental hazards, and confirm team competencies.
  • Assistive Team Recording: Records only the hazards, causes, consequences, and controls the team supplies, never inventing unraised hazards or fabricating risk ranks — uses [GAP] for missing or unaddressed items to maintain full transparency.
  • Compliance & Validation Built-In: Applies hierarchy of controls ranking to all recommendations, enforces mandatory de-identification of sensitive data, runs pre-output quality checks, and includes a mandatory SME review gate to ensure outputs meet regulatory and industry standards.
  • Use Case: A process safety engineer preparing for a new tank farm FEED stage HAZID can use this skill to structure the workshop, capture all relevant hazards (including external flood and seismic risks), rank controls, and generate a de-identified, compliant hazard register ready for competent person review.

Quick Start

Use the hazid-facilitator skill to structure a HAZID workshop for your new chemical process installation at the FEED stage and generate a de-identified hazard register with risk-ranked findings and control recommendations.

Frequently Asked Questions about hazid-facilitator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a HAZID workshop to ensure regulatory compliance?

To structure a compliant HAZID workshop, use a guided elicitation process that bounds the installation scope, captures process and environmental hazards, and enforces hierarchy of controls ranking to produce a defensible hazard register.

What is the best way to record HAZID findings without fabricating risk ranks?

Recording HAZID findings without fabricating risk ranks requires an assistive team-led process that captures only team-supplied hazards and controls, using transparent gap markers for missing data instead of inventing unraised hazards or risk levels.

Can I use a structured hazard identification process for FEED stage chemical installations?

Yes, structured hazard identification applies to chemical installations during the FEED stage, as well as concept, detailed design, and pre-commissioning phases across oil, gas, and process industries in all jurisdictions.

How do you de-identify sensitive participant data in a hazard register?

De-identifying sensitive participant data in a hazard register requires mandatory data anonymization protocols built into the recording workflow, ensuring all participant and injury details are stripped before final output generation.

Why does my AI-generated HAZID register miss external and environmental hazards?

Generic AI-generated HAZID registers often miss external and environmental hazards because they lack a structured multi-step intake process to identify receptors and confirm specific hazard categories like natural events and neighbouring knock-on effects.

Does a HAZID register need a pre-output SME review before submission?

A HAZID register requires a mandatory pre-output SME review gate to run quality checks, validate de-identification, and ensure the hierarchy of controls recommendations meet regulatory and industry standards before submission.