Scaffold a new, contract-conformant HSE Leadership skill at build time: this build-time authoring tool runs an author-interview, then emits a born-conformant skills/<name>/ with the five inline blocks byte-matching template/blocks/*, the folder skeleton, vocab-validated metadata, the seeded runtime intake step, and an A8-shaped evals skeleton. It is for skill authors and maintainers extending the pack, not an HSE-advice skill — it produces no risk assessment, talk, or investigation.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.
Scaffold a new, contract-conformant HSE Leadership skill at build time: this build-time authoring tool runs an author-interview, then emits a born-conformant skills/<name>/ with the five inline blocks byte-matching template/blocks/*, the folder skeleton, vocab-validated metadata, the seeded runtime intake step, and an A8-shaped evals skeleton. It is for skill authors and maintainers extending the pack, not an HSE-advice skill — it produces no risk assessment, talk, or investigation.
A build-time authoring tool for the people who EXTEND this skill pack — skill
authors and maintainers, not HSE end users. It runs a short author-interview about
the skill you want to build, then emits a born-conformantskills/<name>/ that
lint_skills.py passes with zero hand-edits: the five inline blocks copied
byte-for-byte from template/blocks/*, the folder skeleton, vocab-validated
metadata, the §2.7 runtime-intake STEP seeded into the new skill's Workflow, the
A7 component shim and A9 branding link where declared, and an A8-shaped evals/
skeleton (including the de-id fixture pair). It produces no HSE artifact — no
risk assessment, no toolbox talk, no investigation; it produces the .
## Output format
next skill
The forge dogfoods the very contract it scaffolds: this SKILL.md is itself a
conformant six-block skill (it is how the pack proves the contract is satisfiable
in practice — A10 AC#8).
When to use this skill
Use this skill at build time when you are adding a new skill to the HSE
Leadership pack or regenerating an existing skill's contract surface — for example:
"Scaffold a new permit-to-work skill" / "add a behaviour-based-safety skill".
"Re-sync this skill's inline blocks against the canonical template/blocks/*"
(the --sync anti-drift verb).
"Give me a contract-clean skeleton I can drop a domain body into."
Do not reach for this skill to produce an HSE deliverable for a real task or
site — that is what the hse-core advice skills (risk-assessment, toolbox-talk,
incident-investigation, …) are for. This skill lives in the hse-systems bundle,
deliberately outside the advice grouping, so it is never mistaken for one.
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
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
Workflow
The forge's Workflow is an author-interview: a build-time Q&A that asks WHAT
skill to build, not what HSE problem to solve.
The two intakes are categorically distinct — never conflate them (A10 D4, "the
single most important error to avoid"). The author-interview below is the
forge's own Workflow; it asks the author about the skill they want to create.
It is NOT the §2.7 runtime intake. The runtime intake is a seeded STEP — a
<!-- TODO --> scaffold (templates/intake-todo.md) that the forge plants into
the NEW skill's Workflow for the author to fill with that skill's domain
questions later. The forge never invents the new skill's domain question VALUES;
it only seeds the intake STEP. See references/mandatory-blocks.md for the full
contrast.
Step 1 — Author-interview (one question at a time)
Ask these ten questions, MCQ where the answer space is enumerable, free-text where
it is open; branch on the answers; echo the captured facts back before scaffolding:
Skill name — lowercase [a-z0-9-], ≤64 chars, MCP-safe (free-text).
One-line domain — what artifact does it produce? (free-text → description).
Category — MCQ from the A2 §4.1 category vocab (risk-assessment, training,
incident-management, compliance, ms-admin, …).
Audience — MCQ, one or more of M / E / F / C.
Industry — MCQ from the industry vocab (All, Con, Chem, Min, Avi, …).
Jurisdictions — which the skill serves (All / UK / US / IN / EU).
Single-thread vs roster — MCQ: single-thread · moderate fan-out · the
flagship-b5 four-agent roster (references/orchestration-patterns.md).
A7 components — MCQ: which deterministic engines it calls (risk_matrix,
controls, rca, smart_actions, incident_rates) — or none (no scripts/).
Trigger keywords — the discovery phrases (reinforce description).
Tier + status — MCQ from the tier (1–4) and status (stable/beta/assistive) vocab.
Serialize the answers to an answers.json (the metadata{} block + roster /
a7_components / kb_ids flags — see references/mandatory-blocks.md).
Run scripts/scaffold.py --name <name> --answers <answers.json> (add
--from-skill-creator <draft.md> to wrap a skill-creator domain draft, or
--standalone to use the templates/* fallback skeletons).
The scaffolder self-validates: it refuses exit 0 unless its output lints clean.
Run scripts/validate_repo_skill.py <skill> (the lint_skills.py re-export) to
confirm; --sync re-pulls any drifted canonical block from template/blocks/*.
Hand off assets/forge-handoff.template.json listing the seeded TODOs the author
must fill (the domain body, the intake question VALUES, the eval expectations).
This Workflow performs no HSE analysis and circulates no personal data; the
deterministic blocks above are inherited because the contract is invariant.
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
Single-threaded by design — no subagents. The forge's author-interview +
scaffold + self-lint runs in one context. (NOTE: this is the forge's own
runtime roster — distinct from the BUILD-TIME §3.7 campaign fan-out, where
one subagent authors each skill in parallel; the forge SEEDS rosters into other
skills via references/orchestration-patterns.md, it does not run a fan-out itself.)
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/mandatory-blocks.md — the human-readable six-block contract; what
each block is, its marker, and that its text is canonical in template/blocks/*.
references/orchestration-patterns.md — the roster-authoring menu (single-thread
· moderate · flagship-b5), pointing at KB-SNIP-ARCHETYPES.
references/_skill-kb.md — the knowledge-base fragments this skill resolves.
references/METHODOLOGY.md — the scaffold→validate→handoff method.
references/deid-checklist.md — the full de-identification checklist (A5).
references/QUALITY_CHECKLIST.md — the pre-output validation gate.
