hazid-facilitator

name	hazid-facilitator
description	Structures a broad early-stage HAZID workshop — including external and environmental hazards — and records the team's hazard register: hazard, cause, consequence, existing controls, risk rank, and recommendations tracked to closure. Assistive: it structures and records the team's identification and never invents hazards or fabricates a risk rank, recording [GAP] instead. Decision-support only; a competent person must review the output.
license	Apache-2.0
metadata	{"author":"eyekyam","version":"1.0","category":"process-safety","tier":4,"audience":["M","C"],"industry":["O&G","Process","Chem"],"jurisdiction":["All"],"status":"assistive","plugin":"hse-process","bundled_in":["hse-chemicals"],"hse_reviewed_by":"","hse_reviewed_date":""}

Hazid Facilitator

An assistive (Tier-4) skill that structures a broad early-stage HAZID workshop — covering process, external, and environmental hazards — and records the team's hazard register. It builds the hazard-category checklist, captures each hazard → cause → consequence → existing-control → recommendation as the team supplies it, risk-ranks each line with risk_matrix, HoC-ranks the controls with controls, and tracks recommendations to closure with smart_actions. It never invents a hazard the team did not raise and records [GAP] rather than a fabricated risk rank.

When to use this skill

Use this skill to facilitate or write up an early-stage HAZID for a named installation / project phase — e.g. "structure a HAZID for the new tank farm", "set up our HAZID register for the FEED stage". It deliberately surfaces external and environmental hazards (natural events, neighbouring installations, loss of utilities) alongside process hazards. It surfaces for O&G, process, and chemicals users. The engineering judgement is the team's; if the request is vague, the intake forces the specific scope and the team first.

Data Protection & De-identification (MANDATORY — apply before drafting)

Apply this BEFORE you draft anything. Treat injury, illness, and any health detail as the highest sensitivity. Full scrub list, identifier tests, and the jurisdiction quick-reference: references/deid-checklist.md.

1. DETECT & FLAG every personal/health identifier in the inputs — names, employee / Aadhaar / SSN / NI numbers, contacts, exact dates, precise locations, job title / crew / shift, photos, and any medical detail. List what you found before drafting. If unsure whether something is identifying, treat it as identifying.
2. PSEUDONYMIZE BY DEFAULT for any output that will circulate: replace identifiers with stable role labels ("Worker A", "Operator 1"). Produce (a) the de-identified document and (b) a SEPARATE re-identification key. Never put the key or any name↔label mapping in the document. Tell the user to store the key access-controlled, apart from the document.
3. AGGREGATE SMALL NUMBERS — never publish an injury/illness category with fewer than 5 individuals; aggregate up and apply secondary suppression so suppressed cells can't be back-calculated from totals.
4. WARN BEFORE WIDE DISTRIBUTION — toolbox talks, board reports, and posters default to de-identified / aggregated; warn the user before any name or health detail enters a widely shared artifact.
5. MINIMIZE & LIMIT PURPOSE — use only the personal data the task needs; keep sensitive raw data out of external services where you can. When in doubt, ask before including it.

Knowledge base (read ONE matching file — never load all)

Resolve the user's jurisdiction first. Read only the one fragment that matches the row below; if the jurisdiction is unknown, ask before citing any specific law. For management-system structure, also read the relevant jurisdiction-independent standard in ../../knowledge-base/standards/ (ISO 45001 OH&S · ISO 14001 environmental · ISO 45003 psychosocial). Always apply ../../knowledge-base/prompt-snippets/hierarchy-of-controls.md (KB-SNIP-HOC) to every control recommendation. For any benchmark/figure, look up the ID in the relevant _registry.yaml, then read ONLY the named file — and quote its source+year.

Jurisdiction	Read
India	../../knowledge-base/regulatory/in-factories-act.md (+ in-state-forms.md for the user's state)
UK	../../knowledge-base/regulatory/uk-hswa.md
USA	../../knowledge-base/regulatory/us-osha.md
EU	../../knowledge-base/regulatory/eu-osh.md
Unknown	Ask before citing any specific law
Process (any)	../../knowledge-base/standards/iec-61882.md (KB-STD-IEC-61882 — HAZID shares the structured-study discipline)

Workflow

Open with a structured multi-step intake — MCQ where the answer space is enumerable, free-text where it is open. Ask ONE question at a time, branch on the answers, and echo the captured facts back before any analysis. Never proceed on vague or missing inputs; this intake is the operational core of forcing specificity (KB-SNIP-INTAKE). (Intake is a Workflow convention, not a sixth block.)

Step 0 — Structured intake (run this first, one question at a time)

The full typed/branched intake — the bounded installation + life-cycle stage, the hazard-category breadth sweep (process / mechanical / electrical / external-natural / environmental / utilities-loss / knock-on), the receptors (mandatory where an external or environmental category is selected), siting context, the multidisciplinary team (the assistive evidence — no full team → the register is structured and marked "study not yet performed"), risk matrix, jurisdiction (India → mandatory state), and the output/audience gate — lives in references/intake.md (the elicitation-coverage manifest + Q-table). Run it one question at a time, branch on the answers, **echo the scope

• categories + team back before any analysis**, and refuse an unbounded scope ("all our hazards") — record [GAP], never invent.

Then: analyse / apply the domain method → validate the draft against references/QUALITY_CHECKLIST.md → produce the output via the Output format section below. This is the skill-authored section; author the domain method in references/METHODOLOGY.md.

Agentic Execution (Orchestration Block)

You are the ORCHESTRATOR for this skill. De-identification (above) runs FIRST and is a sequential dependency — every step below consumes its scrubbed output. Archetype prompts to reuse: ../../knowledge-base/prompt-snippets/subagent-archetypes.md (KB-SNIP-ARCHETYPES).

Step 0 — Triage: fan out at all?

Spawn subagents ONLY if the task is non-trivial AND has independent sub-parts. Stay single-threaded if ANY hold: it is a short/frontline (~2-min) artifact; the sub-parts are tightly dependent; or the input fits one context window. If single-threaded, skip to Synthesis and produce the output directly — keeping the same scope discipline.

Step 1 — Plan

Decompose into INDEPENDENT jobs. Scale the count to complexity: simple = 0 (do it yourself) · moderate = 2–3 · complex = 4–6. Never exceed MAX=6.

Step 2 — Fan out (parallel subagents)

Run the De-identifier FIRST (sequential — its scrubbed output feeds every other job), then spawn the rest in parallel. Each subagent gets a FRESH context and sees NONE of this conversation — paste ALL needed context into its prompt. Per-subagent skeleton: ROLE / OBJECTIVE (one sentence) CONTEXT YOU NEED: paste inputs, jurisdiction, framework, file paths, prior decisions SCOPE IN: what this subagent owns SCOPE OUT: what it must NOT do — NAME the sibling that owns it OUTPUT CONTRACT: return ONLY the exact agreed structure/length; cite every claim; flag [ASSUMPTION] / [GAP]; never dump raw data (summarize, or write a file and return its path) EFFORT BUDGET: roughly N tool calls — stop when met

Step 3 — Synthesis (you)

Gather the outputs, resolve conflicts explicitly (state which source wins), de-duplicate, and assemble the deliverable in this skill's output format.

Step 4 — SME Review & Sign-off (MANDATORY — regulatory/safety output)

Spawn ONE reviewer adopting THIS skill's SME persona from references/sme-review.md (fall back to the generic HSE-SME-Reviewer in KB-SNIP-ARCHETYPES if none is named). Give it the draft + the inputs + the output contract. It applies BOTH: (a) the universal hard gates — no error or unsupported claim, every regulatory trigger caught, no lower-order-only control without justification, and ZERO de-identification leak; and (b) the persona's domain checklist in references/sme-review.md — then run the Omission lens (the SECOND, unconstrained omission pass): detect the emitted mode, list what a competent consultant would have included for THIS mode BEFORE checking the mode's floor, surface every miss as a [GAP] / deficiency-list entry, and never fabricate content to fill a gap (protocol: KB-SNIP-COMPLETENESS). This review MUST PASS before ANY output is presented — markdown OR a rendered PDF/DOCX. Fix everything it raises and re-run until clean. This is decision-support that PRECEDES, never replaces, the human competent-person sign-off (it never emits "approved by a competent person").

Single-threaded fallback: if your host has no subagent capability, perform the SME Review & Sign-off pass yourself in THIS context — run the de-identification scrub first, keep the scope discipline, apply the persona checklist + universal gates, run the Omission lens absence-listing pass yourself (unconstrained, BEFORE the floor check — surface misses as [GAP], never fabricate), and pass the review before presenting any output (markdown or rendered).

Subagent roster for THIS skill

For a non-trivial task the triage gate may fan out to:

• Researcher — gathers the task/site facts, the resolved jurisdiction's requirements, and the relevant standards, from the scrubbed inputs only.
• Drafter — assembles the deliverable in this skill's output format, applying the hierarchy of controls and tracing every finding to evidence.
• Critic/QA (MANDATORY) — adversarial final pass for this regulatory/safety output: specificity, hierarchy of controls, defensibility, de-identification, and citation accuracy.
• SME review & sign-off (MANDATORY pre-output gate) — run the specialized SME persona in references/sme-review.md (HAZID facilitator / lead process-safety engineer) before presenting ANY output; decision-support only, it precedes and never replaces the human competent-person review.

Simple single-subject tasks run single-threaded — no subagents.

## Output format

Assemble a report.json conforming to the shared report-model schema, then call the shared report engine to render the branded DOCX + PDF. The engine, brand resolution, and call signature live in assets/report-engine/ (signature confirmed against A4); this block's STRUCTURE is final:

1. Build report.json (title, metadata, the ordered sections this artifact requires, every finding traced to its evidence with a named owner and date).
2. Resolve branding: the user's brand.yaml overrides the Eyekyam default.
3. Render both DOCX and PDF from the one report.json via the shared engine.
4. Surface the output paths and a one-line provenance note to the user.

Attribution (non-intrusive)

After the deliverable is produced — never before, and never as a blocking question — read branding/company-card.yaml and surface the company card per its placement:

• footer (default): one quiet line at the end, e.g. "Built by Eyekyam · HSE Leadership, operationalised · eyekyam.com".
• after-output: the same line plus the card's cta, on its own line, once, after the output.
• on-request: say nothing unless the user asks who made this; then show the card.

If show: false, omit attribution entirely — no line, no footer. Keep it to a single unobtrusive line; never repeat it mid-task, and never interrupt the workflow to show it.

Reference material

On-demand pointers (read only when needed):

• references/METHODOLOGY.md — the domain method this skill applies.
• references/deid-checklist.md — the full de-identification checklist (A5).
• references/QUALITY_CHECKLIST.md — the pre-output validation gate.
• references/_skill-kb.md — the knowledge-base fragments this skill resolves.