neqsim-pump-hydraulics-screening

neqsim-pump-hydraulics-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 75 tokens per session (1,342 once invoked), scanned A, original, Apache-2.0.

An early hydraulic check for a centrifugal pump, which uses a rotating impeller to move liquid. It estimates hydraulic and shaft power, available suction margin, and whether the flow is near the pump's best-efficiency-point range.

In plain words
What is it for?
Use it to screen pump power, available net positive suction head, and flow suitability for a pumping duty.
Why use it?
It provides quick power and cavitation-risk checks before detailed pump selection. It can also flag operation far from the pump's most efficient flow range.

Skill for Claude CodeCodex

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

Good fit Use it to screen pump power, available net positive suction head, and flow suitability for a pumping duty.

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Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-pump-hydraulics-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-pump-hydraulics-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-pump-hydraulics-screening

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-pump-hydraulics-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-pump-hydraulics-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,342 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 $0.00075 $0.01342
Opus 5.5 $0.00030 $0.00537
Sonnet 5.5 $0.00015 $0.00268
Haiku 4.5 $0.00007 $0.00134

Measured 1mo ago against content hash 89cb8c5d7413, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-pump-hydraulics-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_pump_hydraulics_screening.py, src/pump_hydraulics_screening/__init__.py, src/pump_hydraulics_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-pump-hydraulics-screening/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pump Hydraulics Screening

Use this skill for public, educational centrifugal-pump hydraulics screening. It estimates hydraulic and shaft power, the available net positive suction head (NPSHa), and the best-efficiency-point (BEP) flow ratio so an agent can scope a pumping duty and decide whether to invoke validated NeqSim pump calculations.

When to Use

  • When a user asks roughly how much power a pump duty needs.
  • When an agent needs a quick NPSH-available margin and cavitation triage.
  • When an agent must check that an operating flow sits inside a sensible BEP window.
  • When examples must run without confidential pump curves, vendor data, or company specs.

Inputs

  • flow_rate: operating volumetric flow in m3/h.
  • head: pump differential head in m.
  • density: pumped-fluid density in kg/m3.
  • efficiency: pump hydraulic efficiency, default 0.70.
  • suction_pressure: optional suction pressure in bar absolute (for NPSHa).
  • vapor_pressure: optional fluid vapor pressure in bar absolute (for NPSHa).
  • static_suction_head: optional static suction head in m, default 0.
  • friction_loss: optional suction friction loss in m, default 0.
  • npsh_required: optional NPSH required in m (for the margin).
  • bep_flow_rate: optional best-efficiency-point flow in m3/h (for the ratio).

Outputs

  • hydraulic_power_kw: hydraulic (fluid) power.
  • shaft_power_kw: estimated shaft power.
  • npsh_available_m: available NPSH, or null if suction data is not supplied.
  • npsh_margin_m: NPSHa - NPSHr, or null if not enough data.
  • bep_ratio: flow_rate / bep_flow_rate, or null if BEP flow not supplied.
  • pump_warning: ok, watch, off-bep, npsh-deficit, or no-rating.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class PumpHydraulicsModel uses public pump relations only:

  • hydraulic power uses P = rho * g * Q * H, with Q converted from m3/h to m3/s.
  • shaft power uses P_shaft = P_hydraulic / efficiency.
  • available NPSH uses NPSHa = (P_suction - P_vapor) / (rho * g) + static_suction_head - friction_loss.
  • the BEP check uses the flow ratio Q / Q_bep against a public preferred window (default 0.70 to 1.20).

Read the full file on GitHub · 120 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 · 120 lines · 75 tokens per session scan A 89cb8c5d7413

Subscribe to this mod's changes

neqsim-pump-hydraulics-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 75 tokens to every session and 1,342 once invoked, about $0.0003 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.

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