What is neqsim-flow-assurance?

A guide to checking flow-assurance risks in pipelines and process equipment, including hydrates, wax, asphaltenes, corrosion, mineral scale, slugging, and water hammer. Flow assurance means keeping fluids moving safely and reliably.

Use it to estimate hydrate and wax risks, screen corrosion and scale, predict flow patterns, check pressure and temperature changes, and assess pipeline stability.

It helps identify deposits, blockages, corrosion, unstable flow, and temperature problems before they interrupt operation or damage equipment.

neqsim-flow-assurance — Skill for Claude Code and Codex by equinor

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-flow-assurance

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-flow-assurance/github.svg)](https://agentmods.dev/skills/equinor/neqsim/neqsim-flow-assurance)

Your own site

<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-flow-assurance"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-flow-assurance/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-flow-assurance"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-flow-assurance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 24,284 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium analysis-evasion · line 1
Suspicious Unicode normalization or mixed-script content

Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
medium Excessive Agency · line 911
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00105	$0.24284
Opus 5.5	$0.00042	$0.09714
Sonnet 5.5	$0.00021	$0.04857
Haiku 4.5	$0.00011	$0.02428

Measured 2d ago against content hash 05b0771ad917, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-flow-assurance 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 2d 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-flow-assurance/SKILL.md · 1,604 lines

How it starts

The opening of the file, as written. The whole thing — 1,604 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Flow Assurance Analysis with NeqSim

Consolidated guide for all flow assurance threats — hydrate, wax, asphaltene, corrosion, hydraulics, water/liquid hammer screening, slugging, and thermal management — with NeqSim code patterns.

When to Use This Skill

Hydrate formation temperature/pressure prediction
Hydrate inhibitor dosing (MEG, methanol, ethanol)
Wax appearance temperature (WAT) and wax deposition risk
Asphaltene stability screening (de Boer, CII)
CO2 and H2S corrosion rate estimation
Elemental sulfur (S8) deposition risk at pressure/temperature letdown (compressor inlets, control/letdown valves, dry-gas seals, filters)
Pipeline pressure drop and temperature profile
DNV-RP-F109 vertical and lateral on-bottom stability screening
Water hammer/liquid hammer screening for fast valve closure, pump trip, or check-valve slam
Multiphase flow pattern prediction (slug, annular, stratified)
Thermal insulation sizing for subsea pipelines
Arrival temperature and cooldown calculations

Applicable Standards

Domain	Standards	Key Requirements
Pipeline design	DNV-ST-F101, DNV-RP-F104 for CO2, NORSOK L-001, ASME B31.4/B31.8	Structural design plus composition-specific CO2 phase/hydraulic and lifecycle basis
Corrosion	NORSOK M-001, DNV-RP-F112, ISO 21457	Material selection, CO2/H2S corrosion rates
On-bottom stability	DNV-RP-F109	Vertical stability, absolute lateral stability, displacement acceptance
Free spans	DNV-RP-F105	Free-span response and fatigue assessment
Global buckling and pipe-soil interaction	DNV-RP-F110, DNV-RP-F114	Caller-controlled external response and demand-resistance screening
Subsea systems	NORSOK U-001	Subsea production-system requirements
Hydrate management	DNV-RP-F116	Hydrate prevention and remediation
GRP piping	ISO 14692	Non-metallic pipe design
Pipeline integrity	DNV-RP-F101, DNV-RP-F116, API 1160	Inspected metal-loss remaining strength and integrity management

Read the full file on GitHub · 1,604 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.

2d ago Changed · +15 lines 05b0771ad917
4d ago Changed · +9 lines 6908df2df2a3
8d ago Changed · +9 lines 01939fd522b6
9d ago Changed · +13 lines 24829232d457
13d ago Changed · +28 lines 6c40d28ac30d
14d ago Changed · +138 lines e855d0e34d03
28d ago Changed · -117 tokens per session 70f3214a4709
1mo ago Changed · +6 lines · -38 tokens per session 86f7eace8094
1mo ago Changed · +11 lines 53c12037bcf8
1mo ago First seen · 1,375 lines · 260 tokens per session scan A 73d1b1923ef3

Subscribe to this mod's changes

neqsim-flow-assurance is a skill published in the GitHub repository equinor/neqsim (158 stars, last pushed today), licensed Apache-2.0. It adds 105 tokens to every session and 24,284 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 2026-09-03.

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