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neqsim-gas-scrubber-sizing-screening

neqsim-gas-scrubber-sizing-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 86 tokens per session (1,422 once invoked), scanned A, original, Apache-2.0.

A screening calculation for the size of a vertical gas scrubber, a vessel that removes liquid droplets from a gas stream. It uses the Souders-Brown relation to estimate gas velocity, vessel diameter, and mist-eliminator loading.

In plain words
What is it for?
Use it to estimate the required scrubber diameter or check an existing vessel. It also screens the gas load on a fitted mist eliminator.
Why use it?
It gives an early indication of whether a vessel is large enough and whether its droplet-removal device may be overloaded. It avoids needing detailed vendor internals data at the initial stage.

Skill for Claude CodeCodex

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

not rated 4repo today A scan 86 tokens original Apache-2.0

Good fit Use it to estimate the required scrubber diameter or check an existing vessel. It also screens the gas load on a fitted mist eliminator.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-gas-scrubber-sizing-screening
View source ↗ equinor/neqsim-community-skills equinor.github.io
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-gas-scrubber-sizing-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.

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README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-gas-scrubber-sizing-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-gas-scrubber-sizing-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,422 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 $0.00086 $0.01422
Opus 5.5 $0.00034 $0.00569
Sonnet 5.5 $0.00017 $0.00284
Haiku 4.5 $0.00009 $0.00142

Measured 1mo ago against content hash 4bd9f53bcd5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-gas-scrubber-sizing-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_gas_scrubber_sizing_screening.py, src/gas_scrubber_sizing_screening/__init__.py, src/gas_scrubber_sizing_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-gas-scrubber-sizing-screening/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gas Scrubber Sizing Screening

Use this skill for public, educational gas-scrubber (vertical separator) sizing screening. It estimates the Souders-Brown maximum gas velocity, the required vessel diameter, the velocity utilisation against an existing diameter, and a mist-eliminator gas-load check so an agent can scope a separator-sizing study before detailed design.

When to Use

  • When a user asks what diameter a vertical gas scrubber needs or whether an existing vessel is large enough.
  • When an agent needs a quick Souders-Brown velocity and mist-eliminator load estimate.
  • When examples must run without confidential vessel data, vendor internals data, or company specs.

Inputs

  • gas_mass_flow_kg_s: gas mass flow in kg/s.
  • gas_density_kg_m3: gas density in kg/m3.
  • liquid_density_kg_m3: liquid density in kg/m3.
  • k_factor_m_s: Souders-Brown K-factor in m/s, default 0.107.
  • vessel_inside_diameter_m: optional existing vessel inside diameter; if given it is checked, otherwise the required diameter is sized.
  • mist_eliminator_k_factor: mist-eliminator K-factor in m/s, default 0.12.
  • demister_present: whether a mist eliminator is installed, default True.

Outputs

  • souders_brown_velocity_m_s: maximum gas velocity v_max.
  • gas_volumetric_flow_m3_s: actual gas volumetric flow Q.
  • required_area_m2: required cross-sectional area Q / v_max.
  • required_diameter_m: required vessel inside diameter.
  • actual_velocity_m_s: actual gas velocity at the given diameter, or null.
  • velocity_utilisation: actual velocity divided by v_max, or null.
  • gas_load_factor: effective K-factor from the actual velocity, or null.
  • demister_velocity_limit_m_s: mist-eliminator Souders-Brown limit.
  • demister_utilisation: gas velocity divided by the demister limit, or null.
  • sizing_warning: ok, watch, undersized, or oversized.
  • demister_warning: ok, watch, mist-eliminator-overloaded, or no-demister.
  • assumptions: public assumptions used by the placeholder model.

Read the full file on GitHub · 118 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 · 118 lines · 86 tokens per session scan A 4bd9f53bcd5b

Subscribe to this mod's changes

neqsim-gas-scrubber-sizing-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 86 tokens to every session and 1,422 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.

Scientific
Related

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neqsim-gas-scrubber-sizing-screening next to 6 skills from other repositories
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