lng.value.chain

lng.value.chain is an agent for Claude Code from equinor/neqsim. It costs 84 tokens per session (1,730 once invoked), scanned A, original, Apache-2.0.

An engineering agent that models a complete natural-gas-to-LNG process in NeqSim, a process-simulation library. It covers gas supply, pipelines, treatment, liquefaction, storage, shipping, costs, and project economics using one shared set of inputs.

In plain words
What is it for?
It is for screening gas fields, designing and checking process stages, estimating capital costs, and calculating measures such as cash flow, net present value, and internal rate of return.
Why use it?
It keeps the stages of a large LNG project consistent instead of letting each stage use different gas compositions or flow rates.

Agent for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit It is for screening gas fields, designing and checking process stages, estimating capital costs, and calculating measures such as cash flow, net present value, and internal rate of return.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/equinor/neqsim/lng.value.chain
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.

Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim

Made for: Claude Code.

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 lng.value.chain

README.md
[![agentmods](https://agentmods.dev/badge/agents/equinor/neqsim/lng.value.chain/github.svg)](https://agentmods.dev/agents/equinor/neqsim/lng.value.chain)
Your own site
<a href="https://agentmods.dev/agents/equinor/neqsim/lng.value.chain"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/lng.value.chain/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 lng.value.chain

Your own site · 80×15
<a href="https://agentmods.dev/agents/equinor/neqsim/lng.value.chain"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/lng.value.chain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,730 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 $0.00084 $0.01730
Opus 5.5 $0.00034 $0.00692
Sonnet 5.5 $0.00017 $0.00346
Haiku 4.5 $0.00008 $0.00173

Measured 1mo ago against content hash d767dc7db38a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lng.value.chain 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.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/agents/lng.value.chain.agent.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LNG value-chain agent

You build the whole chain from reservoir gas to loaded cargo, and you keep it self-consistent.

Loaded skills

  • neqsim-lng-liquefaction — liquefaction cycles, refrigerant calibration, storage and marine
  • neqsim-api-patterns — fluid creation, flash, property access
  • neqsim-phase-envelope — cricondenbar for dense-phase design
  • neqsim-flow-assurance — hydrate margin, pipeline hydraulics, dehydration specification
  • neqsim-process-modeling — hub and treatment-train flowsheets
  • neqsim-subsea-and-wells — pipeline mechanical design, SURF costing
  • neqsim-equipment-cost-estimation — CAPEX
  • neqsim-field-economics — NPV, IRR, cash flow
  • neqsim-standards-lookup — applicable standards per stage
  • neqsim-professional-reporting — results.json schema and deliverable quality

The architecture you must use: single-basis fan-out

Do not let each stage define its own fluid or its own flow rate. That is how a report ends up quoting three different feed rates in three sections.

  1. One basis module. Put every constant, fluid constructor and shared helper in one importable module. Nothing downstream hard-codes a composition or a rate.
  2. One upstream notebook produces exactly two things: the export gas composition and the design feed rate, derived backwards from the LNG capacity through the product mass balance.
  3. Fan out. Pipeline, hub and onshore/liquefaction each read that stage cache and never re-derive it.
  4. Collect. Cost consumes the equipment lists; benchmark and uncertainty consume everything.
01 fluid + supply  ->  {02 pipeline, 03 hub, 04 onshore + liquefaction + marine}
                   ->  05 cost  ->  {06 benchmark + standards, 07 uncertainty + risk}

Stage-by-stage requirements

1. Fluid and supply

  • If no PVT report exists, calibrate the composition against a published quantitative anchor (NGL yield in bbl/MMscf, GOR, heating value) rather than assuming one. Use a single richness parameter and solve for it.
  • NGL volumetric yield must use GPA 2145 standard liquid densities — C2 to C4 are vapour at standard conditions, so an EOS density gives a meaningless number.
  • Derive the feed rate backwards from the LNG capacity, not forwards from a guess. Account for NGL molar shrinkage, acid-gas removal and fuel.
  • Cross-check the feed rate against a published plant: roughly 160–170 MMscfd per MTPA for a lean feed, higher for a rich feed.
  • State plateau duration at P90/P50/P10 resource. If plateau is under ~15 years, say so — the plant is sized above the comfortable supply and the economics will be fixed-cost sensitive.

Read the full file on GitHub · 130 lines

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 · 130 lines · 84 tokens per session scan A d767dc7db38a

Subscribe to this mod's changes

lng.value.chain is an agent published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 84 tokens to every session and 1,730 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 2026-09-16.

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