neqsim-dynamic-process-preparation

neqsim-dynamic-process-preparation is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 62 tokens per session (1,505 once invoked), scanned A, original, Apache-2.0.

A preparation workflow for turning a steady-state NeqSim process model into one suitable for dynamic simulation. Dynamic simulation follows how pressures, levels, temperatures, and flows change over time, so equipment volumes and starting conditions must be defined.

In plain words
What is it for?
Use it to prepare ProcessSystem or ProcessModel flowsheets, estimate equipment design data, initialise stored states, choose a time step, and run transient calculations.
Why use it?
It finds missing holdups, volumes, liquid levels, and mechanical-design information before transient calculations fail or produce unusable results.

Skill for Claude CodeCodex

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

Good fit Use it to prepare ProcessSystem or ProcessModel flowsheets, estimate equipment design data, initialise stored states, choose a time step, and run transient calculations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-dynamic-process-preparation
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-community-skills --skill neqsim-dynamic-process-preparation
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim-community-skills

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-dynamic-process-preparation

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-dynamic-process-preparation/github.svg)](https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-dynamic-process-preparation)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-dynamic-process-preparation"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-dynamic-process-preparation/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-dynamic-process-preparation

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-dynamic-process-preparation"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-dynamic-process-preparation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,505 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 $0.00062 $0.01505
Opus 5.5 $0.00025 $0.00602
Sonnet 5.5 $0.00012 $0.00301
Haiku 4.5 $0.00006 $0.00151

Measured 1mo ago against content hash 523e6f0a6085, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-dynamic-process-preparation 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 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_dynamic_preparation.py, src/dynamic_process_preparation/__init__.py, src/dynamic_process_preparation/model.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/process/neqsim-dynamic-process-preparation/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dynamic Process Preparation

Use this skill when an agent must prepare a NeqSim ProcessSystem or multi-area ProcessModel for dynamic calculations. It focuses on model-readiness checks, mechanical-design handoff, equipment holdup and volume initialization, and the transient run sequence.

When to Use

  • When a user asks to turn a steady-state NeqSim process into a dynamic-ready process.
  • When a ProcessSystem or ProcessModel needs equipment volumes, holdups, or initial liquid levels before transient simulation.
  • When an agent needs a documented workflow for run(), storeInitialState(), setTimeStep(...), and runTransient().
  • When mechanical design should be estimated with NeqSim classes before dynamic calculations.

Inputs

  • process_name: public process or model name used in reports.
  • process_kind: ProcessSystem or ProcessModel.
  • equipment: dynamic candidate equipment records with name, equipment_type, optional length_m, diameter_m, liquid_level_fraction, and requires_mechanical_design.
  • time_step_seconds: proposed transient time step.
  • total_time_seconds: optional total transient duration.
  • initialization_basis: steady-state case, public design point, or synthetic example basis.

Outputs

  • dynamic_ready: boolean indicator for whether the supplied preparation metadata passes basic checks.
  • equipment_actions: per-equipment actions such as enable dynamic mode, estimate mechanical design, set vessel geometry, and set initial level.
  • estimated_volumes_m3: geometric cylindrical volume estimates for public readiness checks when dimensions are supplied.
  • neqsim_sequence: NeqSim API sequence for initialization and transient execution.
  • warnings: missing information or setup gaps that should be fixed before transient calculations.

Engineering Method

The Python class DynamicProcessPreparationModel is a public planning and validation helper. It does not run NeqSim itself. It checks that a dynamic-ready NeqSim workflow has the minimum metadata needed to initialize dynamic equipment and points the user to the NeqSim APIs that should do the real work.

Read the full file on GitHub · 144 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 144 lines · 62 tokens per session scan A 523e6f0a6085

Subscribe to this mod's changes

neqsim-dynamic-process-preparation is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 62 tokens to every session and 1,505 once invoked, about $0.0002 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 2026-09-19.

Related

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