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 two-phase-flow-regime-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/two-phase-flow-regime-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/two-phase-flow-regime-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/two-phase-flow-regime-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/two-phase-flow-regime-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/two-phase-flow-regime-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 | $0.00087 | $0.01265 |
| Opus 5 | $0.00044 | $0.00633 |
| Sonnet 5 | $0.00017 | $0.00253 |
| Haiku 4.5 | $0.00009 | $0.00127 |
Grade A, and why
neqsim-two-phase-flow-regime-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 12d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Two-Phase Flow Regime Screening
Use this skill for public, educational two-phase flow-regime screening. It classifies a horizontal gas-liquid flow pattern from the superficial gas and liquid velocities using a simplified Mandhane-style decision tree and flags slug risk so an agent can decide whether to invoke validated NeqSim multiphase pipe-flow modelling.
When to Use
- When a user asks what flow regime a horizontal line is likely in.
- When an agent needs a quick slug-risk flag before slug or vibration work.
- When examples must run without confidential pipeline models or field data.
Inputs
Provide either the superficial velocities directly, or enough data to compute them:
superficial_gas_velocity: gas superficial velocityVsgin m/s.superficial_liquid_velocity: liquid superficial velocityVslin m/s.
or
pipe_inner_diameter: pipe inner diameter in m.gas_mass_flow: gas mass flow in kg/s.liquid_mass_flow: liquid mass flow in kg/s.gas_density: gas density in kg/m3.liquid_density: liquid density in kg/m3.
Outputs
superficial_gas_velocity_m_s: gas superficial velocity used.superficial_liquid_velocity_m_s: liquid superficial velocity used.mixture_velocity_m_s:Vsg + Vsl.flow_regime:stratified-smooth,stratified-wavy,elongated-bubble,slug,dispersed-bubble, orannular-mist.slug_risk:truewhen the regime is slug or elongated-bubble.regime_warning:ok,slug-risk, orhigh-velocity.assumptions: public assumptions used by the placeholder model.
Engineering Method
The Python class TwoPhaseRegimeModel uses a simplified public Mandhane-style classifier for horizontal flow:
- superficial velocities use
Vs = (mdot / rho) / (pi/4 * D^2)when computed from flows. - the regime is selected from public approximate boundaries: annular-mist above
Vsg = 10 m/s, dispersed-bubble aboveVsl = 2 m/s, stratified belowVsl = 0.1 m/s, elongated-bubble for low gas velocity, otherwise slug. slug_riskis flagged for the slug and elongated-bubble regimes.
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.
- 12d ago First seen · 113 lines · 87 tokens per session scan A b38c22925d02
neqsim-two-phase-flow-regime-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 87 tokens to every session and 1,265 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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