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.
npx skills add equinor/neqsim-community-skills --skill pump-hydraulics-screeninggit clone --depth 1 https://github.com/equinor/neqsim-community-skillsWrote 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.
[](https://agentmods.dev/skills/equinor/neqsim-community-skills/pump-hydraulics-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/pump-hydraulics-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/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.
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/pump-hydraulics-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/pump-hydraulics-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00075 | $0.01342 |
| Opus 5 | $0.00037 | $0.00671 |
| Sonnet 5 | $0.00015 | $0.00268 |
| Haiku 4.5 | $0.00007 | $0.00134 |
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 11d 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.
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, ornullif suction data is not supplied.npsh_margin_m:NPSHa - NPSHr, ornullif not enough data.bep_ratio:flow_rate / bep_flow_rate, ornullif BEP flow not supplied.pump_warning:ok,watch,off-bep,npsh-deficit, orno-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, withQconverted 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_bepagainst a public preferred window (default 0.70 to 1.20).
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.
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.
- 11d ago First seen · 120 lines · 75 tokens per session scan A 89cb8c5d7413
neqsim-pump-hydraulics-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 75 tokens to every session and 1,342 once invoked, about $0.0004 per session on Opus 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 2026-08-31.
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