Assess bulk-storage, tank-farm and bunding controls — secondary containment sizing basis, segregation of incompatible substances, overfill protection, drainage and firewater containment. Use it to assess a tank farm, size a bund, plan secondary containment, or review overfill / segregation controls for bulk chemical storage. Containment basis and controls are hierarchy-of-controls ranked and traced to evidence with named owners and dates; flammable-atmosphere area control grounds in DSEAR; India storage licensing pointers reference PESO. Decision-support only; a competent person must review the output.
Assess bulk-storage, tank-farm and bunding controls — secondary containment sizing basis, segregation of incompatible substances, overfill protection, drainage and firewater containment. Use it to assess a tank farm, size a bund, plan secondary containment, or review overfill / segregation controls for bulk chemical storage. Containment basis and controls are hierarchy-of-controls ranked and traced to evidence with named owners and dates; flammable-atmosphere area control grounds in DSEAR; India storage licensing pointers reference PESO. Decision-support only; a competent person must review the output.
A consultant-grade skill that assesses bulk-storage / tank-farm / bunding controls — secondary containment sizing basis, segregation of incompatible substances, overfill protection, drainage and firewater containment. It states the containment basis (e.g. 110% of the largest tank or the applicable local rule — resolved, not assumed), bands consequence with risk_matrix, HoC-ranks controls with controls, and validates remediation with smart_actions. Flammable-atmosphere area control grounds in KB-STD-DSEAR; India storage licensing pointers reference KB-REG-IN-PESO (hse-process-owned).
## Output format
When to use this skill
Use this skill to assess a tank farm, size a bund, plan secondary containment, or review overfill/segregation controls for bulk chemical storage — for named stored substances, volumes and a storage configuration. If the request is vague, the intake forces the substances, volumes and configuration 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.
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.
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.
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.
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.
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
UK/EU
../../knowledge-base/standards/dsear-atex.md (KB-STD-DSEAR flammable-atmosphere area control)
India
../../knowledge-base/regulatory/in-peso.md (KB-REG-IN-PESO storage licensing) + in-state-forms.md (mandatory state detection)
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.)
Run the full structured intake in references/intake.md — the typed/branched
Q-table, its intake-coverage manifest, the echo-back, and the refuse-on-vague anchors
live there. It elicits each stored substance + tank volume (refuse "bulk solvents",
flag the largest tank), tanks-per-bund + incompatible pairs, DG class/flashpoint,
storage configuration, existing containment, receptor proximity
(watercourse/drain/boundary), the containment-sizing rule (resolved from the rule,
never an assumed %), and the jurisdiction (India → resolve the state, mandatory —
references/intake.md Q10, for PESO/state storage licensing; "Other"/"Unknown" →
literal [GAP]). Echo the substances + volumes + configuration back before stating the
containment basis. Segregation respects incompatibilities; controls are HoC-ranked
(controls); India pointers reference KB-REG-IN-PESO.
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.
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, before ANY output) — run the skill-specific
persona, domain checklist, and boundary in references/sme-review.md (bulk-storage /
secondary-containment engineer lens: the containment basis traced to a stated rule not
an assumed %; segregation, overfill independence and firewater containment hold against
the actual inventory). Decision-support only; precedes — never replaces — the human
competent-person review.
Simple single-subject tasks run single-threaded — no subagents.
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:
Build report.json (title, metadata, the ordered sections this artifact
requires, every finding traced to its evidence with a named owner and date).
Resolve branding: the user's brand.yaml overrides the Eyekyam default.
Render both DOCX and PDF from the one report.json via the shared engine.
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.
