neqsim-pressure-drop-screening

neqsim-pressure-drop-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 62 tokens per session (1,268 once invoked), scanned A, original, Apache-2.0.

An early calculation of pressure loss in a single-phase pipe using the Darcy-Weisbach method. It estimates pressure drop and compares the pressure gradient with a recommended limit.

In plain words
What is it for?
Use it to review flow velocity, pipe size, roughness, fluid properties, total pressure drop, and compliance with a pressure-gradient guideline.
Why use it?
It quickly flags lines where friction may cause excessive pressure loss before detailed hydraulic design. It is intended for screening, not final pipe sizing.

Skill for Claude CodeCodex

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

Good fit Use it to review flow velocity, pipe size, roughness, fluid properties, total pressure drop, and compliance with a pressure-gradient guideline.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-pressure-drop-screening
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-pressure-drop-screening
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-pressure-drop-screening

README.md
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Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-pressure-drop-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-pressure-drop-screening/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-pressure-drop-screening

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-pressure-drop-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-pressure-drop-screening.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 1,268 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 $0.01268
Opus 5.5 $0.00025 $0.00507
Sonnet 5.5 $0.00012 $0.00254
Haiku 4.5 $0.00006 $0.00127

Measured 1mo ago against content hash 55315af2edd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-pressure-drop-screening 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_pressure_drop_screening.py, src/pressure_drop_screening/__init__.py, src/pressure_drop_screening/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-pressure-drop-screening/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pressure Drop Screening

Use this skill for public, educational line pressure-drop screening. It estimates a single-phase Darcy-Weisbach pressure gradient and compares it to a recommended pressure-gradient guideline so an agent can flag lines that may exceed standard hydraulic limits before moving to validated line sizing.

When to Use

  • When a user asks whether a line pressure drop sits within recommended limits.
  • When an agent needs a quick pressure-gradient triage to scope a hydraulic or debottlenecking study.
  • When examples must run without confidential piping classes, project line lists, or company piping specs.

Inputs

  • fluid_velocity: actual flowing velocity in the line in m/s.
  • mixture_density: flowing mixture density in kg/m3.
  • viscosity: flowing dynamic viscosity in Pa.s.
  • pipe_inner_diameter: pipe inner diameter in m.
  • length: line length used for the total pressure drop in m, default 100.0.
  • roughness: absolute pipe roughness in m, default 4.6e-5 (commercial steel).
  • guideline_bar_per_100m: recommended maximum pressure gradient in bar per 100 m, default 0.5.

Outputs

  • reynolds_number: flow Reynolds number.
  • friction_factor: Darcy friction factor from laminar or Haaland turbulent form.
  • dp_per_100m_bar: screening pressure gradient in bar per 100 m.
  • dp_total_bar: screening total pressure drop over the line length in bar.
  • guideline_ratio: ratio of the pressure gradient to the recommended guideline.
  • pressure_drop_warning: ok, watch, or high.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class PressureDropModel uses open, published correlations only:

  • the Reynolds number uses the standard Re = rho v D / mu form.
  • the friction factor uses f = 64 / Re in laminar flow and the public Haaland explicit approximation of the Colebrook equation in turbulent flow.
  • the pressure gradient uses the Darcy-Weisbach form dP/L = f (1/D) (rho v^2 / 2).
  • the guideline ratio compares the pressure gradient to a configurable recommended gradient aligned with NORSOK P-002 and GPSA style line pressure-gradient guidelines.

Read the full file on GitHub · 112 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 · 112 lines · 62 tokens per session scan A 55315af2edd9

Subscribe to this mod's changes

neqsim-pressure-drop-screening 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 1,268 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

neqsim-pressure-drop-screening compared with skills from other repositories

neqsim-pressure-drop-screening next to 6 skills from other repositories
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