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-power-generationgit 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-power-generation)<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-power-generation"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-power-generation/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-power-generation"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-power-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00069 | $0.09905 |
| Opus 5.5 | $0.00028 | $0.03962 |
| Sonnet 5.5 | $0.00014 | $0.01981 |
| Haiku 4.5 | $0.00007 | $0.00991 |
Grade A, and why
neqsim-power-generation 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 6d 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 — 599 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power Generation with NeqSim
Guide for modeling power generation equipment — gas turbines, steam turbines, heat recovery steam generators (HRSG), and combined cycle systems.
When to Use This Skill
- Gas turbine modeling (power output, fuel consumption, exhaust conditions)
- Steam turbine expansion and power generation
- Heat recovery steam generator (HRSG) design
- Combined cycle system integration (GT + HRSG + ST)
- Waste heat recovery from process streams
- Fuel gas consumption and CO2 emissions from drivers
- Thermal efficiency calculations
- Heat integration / pinch analysis for process plants
Key NeqSim Classes
| Class | Package | Purpose |
|---|---|---|
GasTurbine |
process.equipment.powergeneration |
Gas turbine with compressor, combustor, expander |
GasTurbineVendorPerformance |
process.equipment.powergeneration |
Vendor ISO-rated GT driver — fuel + CO2 matched to a shaft/electric load demand |
SteamTurbine |
process.equipment.powergeneration |
Steam expansion turbine |
HRSG |
process.equipment.powergeneration |
Heat recovery steam generator |
CombinedCycleSystem |
process.equipment.powergeneration |
GT + HRSG + ST integrated system |
PinchAnalysis |
process.equipment.heatexchanger.heatintegration |
Pinch analysis for heat integration |
HeatStream |
process.equipment.heatexchanger.heatintegration |
Hot/cold stream for pinch analysis |
Vendor-performance GT driver — matched fuel & power (PREFERRED for drivers)
For a real mechanical-drive or generator gas turbine (e.g. a GE LM2500 driving a
compressor or an AC generator), the built-in simple-cycle GasTurbine is a rough
model and is unreliable for net power / efficiency. Use
GasTurbineVendorPerformance instead: it takes a load demand and returns the
fuel rate and CO2 matched to that load using the fuel gas's rigorous ISO 6976
LCV and stoichiometric carbon.
GasTurbineVendorPerformance gt = new GasTurbineVendorPerformance("GT driver", fuelStream);
gt.setVendorRating(22.4, "MW", 0.37); // ISO base power, base LHV efficiency
gt.setAmbientDerating(15.0, 0.007); // design ambient C, power lapse /degC
gt.setSiteAmbientTemperature(15.0);
gt.setPartLoadHeatRateCoefficient(0.15); // heat-rate rise at part load
gt.setLoadDemand(compressor.getPower("kW"), "kW"); // <-- the process power need
gt.run(UUID.randomUUID());
double fuel = gt.getFuelFlowRate("kg/hr");
double co2 = gt.getCO2EmissionRate("tonne/day");
double loadFrac = gt.getLoadFraction(); // vs site-rated MAX (bottleneck basis)
double spareKW = gt.getSiteRatedPower("kW") - compressor.getPower("kW");
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.
- 6d ago Changed · +16 lines f57f8acf69ee
- 8d ago Changed · +13 lines 560802cdbf86
- 1mo ago Changed · +35 lines 13ea7ff0999d
- 1mo ago First seen · 535 lines · 69 tokens per session scan A ef26862d909a
neqsim-power-generation is a skill published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 69 tokens to every session and 9,905 once invoked, about $0.0003 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 2026-09-03.
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