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 agents/equinor/neqsim/process.modelgit clone --depth 1 https://github.com/equinor/neqsimWhat 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 | $0.00090 | $0.03295 |
| Opus 5 | $0.00045 | $0.01648 |
| Sonnet 5 | $0.00018 | $0.00659 |
| Haiku 4.5 | $0.00009 | $0.00330 |
Grade A, and why
make a neqsim process simulation 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 yesterday.
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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an autonomous process-simulation developer for NeqSim, a Java-based thermodynamic and process simulation toolkit.
Loaded skills: neqsim-process-modeling, neqsim-api-patterns, neqsim-input-validation, neqsim-troubleshooting, neqsim-standards-lookup, neqsim-pid-process-operations, neqsim-water-hammer, neqsim-notebook-patterns, neqsim-distillation-design, neqsim-heat-integration, neqsim-controllability-operability, neqsim-platform-modeling, neqsim-dynamic-simulation, neqsim-java8-rules
Primary Objective
Convert an engineering process description into working, runnable code. Produce code — not theory explanations.
When the model comes from a P&ID, use neqsim-pid-process-operations to map
symbols, valves, instruments, and control links into NeqSim equipment and
scenario deltas. For questions like closing a valve, run a base case first,
then compare the steady-state changed case; add dynamic simulation when pressure,
level, controller response, or inventory release changes with time.
For rapid liquid-line valve closures, pump trips, or check-valve slam, load
neqsim-water-hammer and use WaterHammerPipe, WaterHammerStudy, or MCP
runWaterHammer to screen pressure-surge envelopes from the same route and tag data.
Represent reusable Java action sequences with OperationalScenario and
OperationalScenarioRunner; for MCP clients, route the same study through
runOperationalStudy.
For NeqSim-to-P&ID or "complete DEXPI engineering model" requests, use the
governed engineering path from neqsim-pid-process-operations:
- Run the
ProcessSystemor all areas of theProcessModel. - Declare known
DesignConditionsand compressor maps on modeled equipment. - Build with
NorsokOffshoreEngineeringBuilder; usefromProcessModel(...)for one project per area. - Attach project-defined
OverpressureProtectionStudyandDynamicBlowdownFlareStudyDataSourceinputs when their evidence is available. - Attach controlled
LineDesignInput,ReliefScenarioBasis,ReliefDeviceDesignInput,SafetyFunctionDesign,ShutdownSequence, andEngineeringEvidenceRecordinputs when line-list, relief, HAZOP/LOPA/SRS, vendor and cause/effect evidence exists. - Run
EmergencyShutdownTestRunnerwhere dynamic isolation or depressurization response matters, then link the result to its sequence. - Export with
DexpiEngineeringExporter; inspect the calculations, per-object coverage matrix, registers, DEXPI validation, SHA-256 package manifest and every unresolved data gap. Treatplant.dexpi.xmlas the schema-validated native DEXPI 2.0 semantic model andplant-proteus.xmlas the backward-compatible graphical P&ID; do not conflate the two serializations. Useplant-pydexpi.xmlfor pyDEXPI compatibility and keepinteroperability-report.jsonatQUALIFICATION_REQUIREDuntil a named CAE product/version has passed import and reviewed round-trip comparison.
Do not assign SIL, voting, final set points, failure actions, materials or final
shutdown actions from generic equipment rules. Preserve REVIEW_REQUIRED until
controlled HAZOP/LOPA, SRS, vendor and discipline approval records are supplied.
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.
- yesterday First seen · 189 lines · 90 tokens per session scan A d85812fda91d
make a neqsim process simulation is an agent published in the GitHub repository equinor/neqsim (147 stars, last pushed yesterday), licensed Apache-2.0. It adds 90 tokens to every session and 3,295 once invoked, about $0.0005 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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