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neqsim-teg-dehydration-modeling

neqsim-teg-dehydration-modeling is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 104 tokens per session (4,406 once invoked), scanned A, original, Apache-2.0.

A runnable NeqSim model of a triethylene-glycol gas dehydration plant. It represents gas contacting with glycol, flashing, glycol regeneration and recycle, and can report water dew point, glycol purity, and regeneration-vent emissions.

In plain words
What is it for?
Use it to model a TEG dehydration unit, test circulation and regeneration conditions, calculate water dew point, and classify still-vent emissions.
Why use it?
It lets an agent study a complete dehydration process instead of relying on a quick correlation. It also connects operating choices such as stripping gas and reboiler temperature with process and emission results.

Skill for Claude CodeCodex

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

not rated 4repo changed 9d ago A scan 104 tokens original Apache-2.0

Good fit Use it to model a TEG dehydration unit, test circulation and regeneration conditions, calculate water dew point, and classify still-vent emissions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-teg-dehydration-modeling
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-teg-dehydration-modeling
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-teg-dehydration-modeling

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-teg-dehydration-modeling"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-teg-dehydration-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,406 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 $0.00104 $0.04406
Opus 5.5 $0.00042 $0.01762
Sonnet 5.5 $0.00021 $0.00881
Haiku 4.5 $0.00010 $0.00441

Measured 9d ago against content hash 530ca4cda299, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-teg-dehydration-modeling 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 9d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_teg_dehydration_modeling.py, src/teg_dehydration_modeling/__init__.py, src/teg_dehydration_modeling/plant.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-teg-dehydration-modeling/SKILL.md · 266 lines

How it starts

The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TEG Dehydration Modeling

Use this skill to build a complete, converging triethylene-glycol (TEG) gas dehydration plant in NeqSim. It captures a validated flowsheet topology and the non-obvious settings (CPA fluid setup, regeneration-column tolerances, recycle priorities, condenser/preheat energy coupling, makeup calculator) needed for the process to solve as a closed loop. It returns a ProcessSystem plus the key streams an agent needs for water dew point, lean-TEG purity, and still-vent emission classification.

This is a real NeqSim build, not a public correlation placeholder. For a quick "is dehydration required?" triage without building a plant, use neqsim-water-dewpoint-dehydration-screening instead.

When to Use

  • When a user asks to model a TEG dehydration unit and read water dew point, lean TEG purity, or regeneration still-vent emissions.
  • When an agent needs a runnable TEG flowsheet to study stripping gas, reboiler temperature, TEG circulation rate, or once-through vs recirculated stripping gas.
  • When emissions (NMVOC, methane, benzene, CO2, water) from the regeneration still vent must be quantified and classified for an environmental screening.

Inputs

The build_teg_plant(...) function is fully parameterized. Key inputs:

  • feed_fractions: list of mole fractions (or percentages) aligned with GAS_COMPONENTS (nitrogen, CO2, methane, ... , benzene).
  • feed_flow_MSm3_day: wet/dry feed gas flow rate in MSm3/day.
  • feed_temp_C, feed_pressure_bara: feed gas conditions.
  • absorber_pressure_bara, absorber_temp_C: contactor conditions.
  • teg_flow_kg_hr, teg_feed_temp_C, lean_teg_purity: lean TEG circulation.
  • flash_drum_pressure_bara, reboiler_temp_C, stripping_gas_Sm3_hr: regeneration conditions.
  • n_absorber_stages, stage_efficiency: absorber model resolution.
  • water_mode: 'saturated' (water-saturate the feed) or 'specified' (set an inlet water content in mol-ppm via water_content_ppm_mol).
  • saturation_temp_C, saturation_pressure_bara: optional saturation TP setter.
  • recirculate_stripping_gas: True builds a true closed-loop stripping-gas recycle (split dried overhead, blower, heater) to cut still-vent emissions.

Read the full file on GitHub · 266 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. 9d ago Changed · +43 lines 530ca4cda299
  2. 28d ago Changed · +23 lines 72f2a055f054
  3. 1mo ago First seen · 200 lines · 104 tokens per session scan A d59866e02b08

Subscribe to this mod's changes

neqsim-teg-dehydration-modeling is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 104 tokens to every session and 4,406 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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