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 agentmods add skills/equinor/neqsim/neqsim-consequence-analysisnpx skills add equinor/neqsim --skill neqsim-consequence-analysisgit 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-consequence-analysis)<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-consequence-analysis"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-consequence-analysis.svg" alt="Measured on agentmods" 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 | $0.00124 | $0.03280 |
| Opus 5 | $0.00062 | $0.01640 |
| Sonnet 5 | $0.00025 | $0.00656 |
| Haiku 4.5 | $0.00012 | $0.00328 |
Grade A, and why
neqsim-consequence-analysis 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 5d 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NeqSim Consequence Analysis Skill
Quantitative consequence modelling that converts a release scenario (mass flow, inventory, ignition probability) into thermal radiation contours, overpressure contours, dispersion footprints, and finally individual / societal fatality risk per ISO 17776, NORSOK Z-013, API 752 and the CCPS Guidelines for Chemical Process Quantitative Risk Analysis.
When to Use
- Jet-fire, pool-fire, VCE or BLEVE source-term modelling
- Toxic / flammable dispersion to LFL, IDLH, ERPG-2/3 or 1 % fatality contours
- Probit-based fatality probability for thermal radiation, overpressure or toxic dose
- QRA roll-up: combine release frequency × ignition probability × fatality probability
- Source-term generation as input to PHAST / FLACS / KFX
Distinct from neqsim-process-safety (HAZOP / LOPA / SIL — frequency side) and
neqsim-relief-flare-network (PSV sizing / flare radiation — design side). This
skill is the consequence side of QRA.
Standards
- API 521 §6 — flare and vent radiation, fire heat input
- API 752 / 753 / 756 — facility siting, occupied buildings
- NORSOK Z-013 / S-001 — risk acceptance, fire & explosion loads
- CCPS QRA Guidelines — probit constants, ignition probabilities
- TNO Yellow Book — multi-energy / Baker-Strehlow VCE
- EI 15 — hazardous area classification
Method 1 — Jet Fire (API 521 + CCPS solid-flame)
import neqsim.process.safety.fire.JetFireModel;
import neqsim.process.safety.dispersion.ProbitModel;
// 30 kg/s gas leak, 50 MJ/kg HoC, 25 % radiative fraction
JetFireModel jet = new JetFireModel(30.0, 50.0e6, 0.25);
double flux50m = jet.radiationFluxAt(50.0); // W/m²
double dist125 = jet.distanceForFlux(12500.0); // m where flux = 12.5 kW/m²
Typical thermal radiation criteria (API 521 / NORSOK S-001):
| Flux (kW/m²) | Effect | Use |
|---|---|---|
| 1.6 | No discomfort for long exposure | Public area limit |
| 4.7 | Sufficient for evacuation in 30 s | Escape route |
| 12.5 | Wood ignites, equipment failure (5 min) | Process equipment limit |
| 37.5 | Structural failure of process equipment | Damage to steel structure |
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.
- 5d ago First seen · 273 lines · 124 tokens per session scan A 61bcb8355e7a
neqsim-consequence-analysis is a skill published in the GitHub repository equinor/neqsim (150 stars, last pushed today), licensed Apache-2.0. It adds 124 tokens to every session and 3,280 once invoked, about $0.0006 per session on Opus 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 2026-08-30.
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