Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add equinor/neqsim --skill neqsim-firewater-deluge-designgit clone --depth 1 https://github.com/equinor/neqsimWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/equinor/neqsim/neqsim-firewater-deluge-design)<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-firewater-deluge-design"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-firewater-deluge-design/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-firewater-deluge-design"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-firewater-deluge-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00111 | $0.02561 |
| Opus 5.5 | $0.00044 | $0.01024 |
| Sonnet 5.5 | $0.00022 | $0.00512 |
| Haiku 4.5 | $0.00011 | $0.00256 |
Grade A, and why
neqsim-firewater-deluge-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 20d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fire-water and deluge coverage design
Sizing and adjudicating active fire protection for a process area. Complements
neqsim-consequence-analysis (which sizes the fire), neqsim-relief-flare-network
(which sizes the relief), and neqsim-depressurization-mdmt (which removes the
inventory). This skill answers the question those three do not: how much water,
where, and is it even the right barrier?
When to use
- A finding or a TTS/verification item says an area lacks deluge coverage.
- A modification adds equipment to an area and the fire-water demand must be re-established.
- Somebody proposes passive fire protection, or fire monitors, instead of deluge.
- You must decide between blanket area coverage and dedicated object protection.
- You need to know whether an existing fire-water system can take a new deluge section.
The four questions, in order
Answer them in this order. Reversing the order is the usual way these studies go wrong.
- What fire are we protecting against? Get this from
neqsim-consequence-analysis. A pressurised gas jet fire is not extinguished by water — the creditable function is cooling of exposed surfaces and control of escalation. A liquid pool fire can be controlled and extinguished by foam-water. If the area is labelled "gas" but holds lube and seal-oil tanks, the pool-fire case is still live and is a common omission. - Can the inventory be removed faster than the target fails? NORSOK S-001 makes
blowdown the primary means of protecting a pressurised inventory. Run
DepressurizationSimulatoragainstPfpDemandCalculator.bareSteelTimeToCriticalS(). Thick-walled vessels frequently outlive the blowdown; thin support steel frequently does not — that asymmetry, not a blanket rule, is what decides where protection goes. - What does the requirement actually demand? See the requirement table below, and read the edition of the standard carefully (see "Traps").
- Only then: size the water, lay out the nozzles, and test the hydraulics.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 20d ago Changed · -41 tokens per session 5f35fd44c50d
- 1mo ago Changed · +1 lines 229770edc7cc
- 1mo ago Changed · +5 lines 9d50f3ca3e4f
- 1mo ago First seen · 163 lines · 152 tokens per session scan A 1445de9fba4f
neqsim-firewater-deluge-design is a skill published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 111 tokens to every session and 2,561 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-11.
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