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neqsim-water-dewpoint-dehydration-screening

neqsim-water-dewpoint-dehydration-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 101 tokens per session (2,140 once invoked), scanned A, original, Apache-2.0.

A screening calculation for estimating how much water natural gas can hold at a given pressure and temperature, using the public GPSA Bukacek correlation. It compares that estimate with a sales-gas water limit.

In plain words
What is it for?
Use it to estimate saturated water content, compare a gas stream with a water specification, and decide whether a dehydration study is warranted.
Why use it?
It provides an early check on whether dehydration may be needed before detailed design. It also helps avoid claiming that free water or hydrates are present without first checking saturation.

Skill for Claude CodeCodex

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

not rated 4repo today A scan 101 tokens original Apache-2.0

Good fit Use it to estimate saturated water content, compare a gas stream with a water specification, and decide whether a dehydration study is warranted.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-water-dewpoint-dehydration-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-water-dewpoint-dehydration-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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<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-water-dewpoint-dehydration-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-water-dewpoint-dehydration-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,140 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 $0.00101 $0.02140
Opus 5.5 $0.00040 $0.00856
Sonnet 5.5 $0.00020 $0.00428
Haiku 4.5 $0.00010 $0.00214

Measured 1mo ago against content hash 0699a9960b9d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-water-dewpoint-dehydration-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_water_dewpoint_dehydration_screening.py, src/water_dewpoint_dehydration_screening/__init__.py, src/water_dewpoint_dehydration_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-water-dewpoint-dehydration-screening/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Water Dewpoint Dehydration Screening

Use this skill for public, educational gas water-content screening. It estimates the saturated water content of natural gas using the open GPSA Bukacek correlation and compares it to a sales-gas water specification so an agent can flag whether dehydration is likely required before detailed design.

When to Use

  • When a user asks whether a gas stream needs dehydration to meet a water spec.
  • When an agent needs a quick saturated-water-content estimate to scope a dehydration study.
  • When examples must run without confidential dehydration designs, glycol data, or company gas specs.
  • Before asserting any hydrate, ice, or free-water finding — run the saturation test below to establish whether free water is actually available. A hydrate finding built on an unverified water number is the single easiest way to produce a confident wrong answer.

Is the stream already dehydrated? — the saturation test

A stated water content in a datasheet or stream table tells you nothing on its own; you have to compare it against saturation at the same pressure and temperature.

ratio = stated_water_content / saturated_water_content(P, T)

ratio ~ 1.0   -> stream is AT SATURATION: wet gas, free water available.
                 Water was removed (if at all) by COOLING + KNOCK-OUT, not dehydration.
ratio << 1    -> stream is DEHYDRATED (glycol contactor or molecular sieve upstream).
                 Typical TEG: 30-50 ppm(mol); typical sales-gas spec: ~100 ppm(mol).
ratio > 1.0   -> the stated composition carries entrained/free water, or the stated
                 P/T is not the condition the composition belongs to. Resolve before use.

Dewatering is not dehydration

This is the trap the test exists to catch. A suction scrubber, knock-out drum, or cooler + separator removes free water and leaves the gas exactly at saturation at the separator outlet condition. It lowers the absolute water content but gives zero dryness margin — the stream re-condenses water on any subsequent cooling or expansion. Only a glycol contactor or a molecular sieve produces an actual water dew-point depression.

Read the full file on GitHub · 162 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 · 162 lines · 101 tokens per session scan A 0699a9960b9d

Subscribe to this mod's changes

neqsim-water-dewpoint-dehydration-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 101 tokens to every session and 2,140 once invoked, about $0.0004 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
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neqsim-water-dewpoint-dehydration-screening next to 6 skills from other repositories
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