neqsim-capacity-and-utilization-analysis

neqsim-capacity-and-utilization-analysis is a skill for Claude Code, Codex from equinor/neqsim. It costs 102 tokens per session (4,761 once invoked), scanned A, original, Apache-2.0.

A capacity and utilization analysis toolkit for process equipment and flowsheets. It identifies limiting constraints, records equipment usage and key performance measures, and fits production rates to measurements.

In plain words
What is it for?
Use it to find bottlenecks, compare scenario KPIs, inspect constraint snapshots, calibrate capacity limits, apply checked process inputs, and fit gas, water, GOR, or GVF rates to measurements.
Why use it?
It helps reveal what is limiting a process and whether reported data or design values are credible, without relying on isolated equipment readings.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find bottlenecks, compare scenario KPIs, inspect constraint snapshots, calibrate capacity limits, apply checked process inputs, and fit gas, water, GOR, or GVF rates to measurements.

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Install with agentmods
npx agentmods add skills/equinor/neqsim/neqsim-capacity-and-utilization-analysis
Install

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.

Any agent
npx skills add equinor/neqsim --skill neqsim-capacity-and-utilization-analysis
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for neqsim-capacity-and-utilization-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-capacity-and-utilization-analysis/github.svg)](https://agentmods.dev/skills/equinor/neqsim/neqsim-capacity-and-utilization-analysis)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-capacity-and-utilization-analysis"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-capacity-and-utilization-analysis/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.

agentmods 80×15 button for neqsim-capacity-and-utilization-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-capacity-and-utilization-analysis"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-capacity-and-utilization-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,761 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00102 $0.04761
Opus 5.5 $0.00041 $0.01904
Sonnet 5.5 $0.00020 $0.00952
Haiku 4.5 $0.00010 $0.00476

Measured 6d ago against content hash 03a2c2b5f87f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-capacity-and-utilization-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 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.

.github/skills/neqsim-capacity-and-utilization-analysis/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Capacity and Utilization Analysis

Use this skill for capacity observations and safe input/data reconciliation. It complements neqsim-agentic-process-optimization (decision-space discovery and closed-loop objectives), neqsim-optimization-and-doe (optimizer algorithms), and neqsim-controllability-operability (operating envelopes and control performance). It does not replace equipment-specific engineering validation.

When to use this

  • Find the enabled capacity constraint with highest utilization in a ProcessSystem or ProcessModel, and track its identity over a sweep or field-life timeline.
  • Inspect the per-unit, per-constraint JSON snapshot including source and data-source metadata.
  • Add or calibrate a hard, soft, design or empirical capacity constraint, or decide whether a fallback design value is credible enough for a decision.
  • Compare process scenarios with KPIDashboard/ScenarioKPI and serialize equipment response DTOs for a reporting boundary.
  • Apply validated single writes or transactional batches through ProcessAutomation.
  • Fit a stream's produced gas rate, water rate, GOR or GVF to field/MPFM measurements; use Broyden only as an acceleration method inside a solver loop.

Use the existing optimizer skills for variable bounds, objective construction and optimizer selection. A high utilization number is a model observation, not by itself an approved operating limit.

Class map

Class Package What it does Key methods verified
CapacityConstraint, CapacityConstrainedEquipment, EquipmentDesignData process.equipment.capacity Defines typed limits and attaches design-capacity inputs to supported equipment. setDesignValue, setValueSupplier, getUtilization, isViolated, setConfidence, setValidityRange, EquipmentDesignData.apply
EquipmentCapacityStrategy, EquipmentCapacityStrategyRegistry, *CapacityStrategy process.equipment.capacity Selects equipment-specific utilization/constraint logic; defaults include compressor, separator, pipe, valve, pump, exchanger, column, reactor and others. findStrategy, evaluateCapacity, getConstraints, getAllStrategies, register
BottleneckResult, BottleneckTracker process.equipment.capacity Represents the current binding limit and tracks changes/peak loading across caller-defined time points. getEquipmentName, getConstraintName, getUtilizationPercent, record, getMigrationEvents, getPeakSnapshot, toJson
EmpiricalCarryOverConstraint process.equipment.capacity Adds piecewise-linear measured carry-over as a hard empirical constraint. fromObservations, getCalibrationX, getCalibrationY
ProcessSystem, ProcessModel process.processmodel Runs flowsheets/areas and aggregates bottleneck and utilization observations. findBottleneck, getCapacityUtilizationSummary, getUtilizationSnapshotJson, isAnyHardLimitExceeded
KPIDashboard, ScenarioKPI process.util.monitor Stores scenario KPI records, computes category/overall scores and prints comparisons. addScenario, getScenarioCount, calculateSafetyScore, calculateProcessScore, calculateEnvironmentalScore, calculateOverallScore
BaseResponse, CompressorResponse, SeparatorResponse, StreamResponse, ValveResponse, *Response process.util.monitor Equipment/report DTOs with public fields populated from a live object; the response classes do not share a toJson() method. Equipment constructors and applyConfig(ReportConfig) where defined
ProcessAutomation, SimulationVariable, AdjustableParameter, AutomationDiagnostics process.automation Lists/read/writes variables, validates safe writes and exposes model inputs/diagnostics. setVariableValueSafe, setVariableValueValidated, getAdjustableParameters, getUtilizationSnapshot, validateAddress
WriteValidatorRegistry, DefaultWriteValidators, WriteValidationResult, TransactionalBatchResult process.automation Validates equipment writes and reports commit/rollback per address. createDefault, register, validate, isAllowed, setValuesTransactional, isCommitted, getRollbackCategory
ProductionRateFitter, GORfitter, MPFMfitter, FlowSetter, FlowRateAdjuster process.equipment.util Reconciles a stream to production-rate measurements, GOR/GVF or component-flow targets. setGasRate, setWaterRate, setGOR, setGVF, getGOR, getGFV, setAdjustedFlowRates
BroydenAccelerator, MultiVariableAdjuster process.equipment.util Accelerates fixed-point iterations and solves coupled adjustable-variable targets. accelerate, initialize, addAdjustedVariable, addTargetSpecification, setVariableBounds, isConverged
CalculatorLibrary, EmissionsCalculator process.equipment.util Provides adjuster presets and emissions calculations for a stream or separator. byName, preset, energyBalance, dewPointTargeting, calculate, getCO2EmissionRate
ProductionOptimizer, SQPoptimizer, MultiObjectiveOptimizer, ProcessSimulationEvaluator, BatchStudy, MonteCarloSimulator process.util.optimizer Algorithm families for single/multi-objective search, DoE, external bridges and uncertainty. Use neqsim-optimization-and-doe for verified selection and recipes.

Read the full file on GitHub · 196 lines

Changes

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.

  1. 6d ago Changed · +14 lines 03a2c2b5f87f
  2. 8d ago Changed · +13 lines 82a6778d61ee
  3. 12d ago First seen · 169 lines · 102 tokens per session scan A a358a62c16ab

Subscribe to this mod's changes

neqsim-capacity-and-utilization-analysis is a skill published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 102 tokens to every session and 4,761 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 2026-10-05.

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