neqsim-capability-map

neqsim-capability-map is a skill for Claude Code, Codex from equinor/neqsim. It costs 69 tokens per session (11,681 once invoked), scanned A, original, Apache-2.0.

A reference guide that lists NeqSim, a software library for engineering calculations, by discipline and capability.

In plain words
What is it for?
Use it to plan implementations, find relevant areas such as thermodynamics or process equipment, assess gaps, and route tasks to the right agent.
Why use it?
It helps you check whether NeqSim already supports a needed engineering task before searching its source code or assigning work.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/equinor/neqsim/neqsim-capability-map
Any agent
npx skills add equinor/neqsim --skill neqsim-capability-map
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim

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-capability-map

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-capability-map.svg)](https://agentmods.dev/skills/equinor/neqsim/neqsim-capability-map)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-capability-map"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-capability-map.svg" alt="Measured on agentmods" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,681 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00069 $0.11681
Opus 5 $0.00034 $0.05840
Sonnet 5 $0.00014 $0.02336
Haiku 4.5 $0.00007 $0.01168

Measured 5d ago against content hash 6ff8c106f76d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

neqsim-capability-map 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 5d 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.

.github/skills/neqsim-capability-map/SKILL.md · 685 lines

How it starts

The opening of the file, as written. The whole thing — 685 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NeqSim Capability Map

Structured reference of what NeqSim can do, organized by engineering discipline. Use this to quickly check if a capability exists before searching the source code.

Last updated: 2026-08-02


A. Thermodynamic Models (Equations of State)

Cubic EOS

Class Fluid Type Mixing Rule Notes
SystemSrkEos Dry/lean gas, simple HC "classic" Most common choice
SystemPrEos General HC, oil systems "classic" Better liquid densities than SRK
SystemPrEos1978 HC with Peng-Robinson 1978 "classic" Updated alpha function
SystemPrEosvolcor PR with volume correction "classic" Volume-translated PR
SystemSrkEosvolcor SRK with volume correction "classic" Volume-translated SRK
SystemSrkPenelouxEos SRK with Peneloux correction "classic" Volume shift
SystemSrkMathiasCopeman SRK + Mathias-Copeman alpha "classic" Better vapor pressure fit
SystemPrMathiasCopeman PR + Mathias-Copeman alpha "classic" Better vapor pressure fit
SystemSrkTwuCoonEos SRK + Twu-Coon alpha "classic" TST-type alpha function
SystemRKEos Redlich-Kwong (original) "classic" Historical / teaching
SystemPrDanesh PR-Danesh variant "classic" Oil recovery applications
SystemPsrkEos Predictive SRK (group contribution) No BIPs needed for some systems
SystemSrkSchwartzentruberEos SRK + Schwarzentruber-Renon "classic" Polar compounds

Association & Polar EOS (CPA)

Class Fluid Type Mixing Rule Notes
SystemSrkCPAstatoil Water, MEG, methanol, polar 10 (numeric) Primary CPA choice
SystemSrkCPA CPA (generic) 10 Base CPA
SystemSrkCPAs CPA simplified 10 Faster CPA variant
SystemPrCPA PR-based CPA 10 PR + association
SystemElectrolyteCPAstatoil Brines, salt solutions 10 Electrolyte + CPA
SystemElectrolyteCPA Electrolyte CPA 10 Base electrolyte

Read the full file on GitHub · 685 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. 5d ago First seen · 685 lines · 69 tokens per session scan A 6ff8c106f76d

Subscribe to this mod's changes

neqsim-capability-map is a skill published in the GitHub repository equinor/neqsim (150 stars, last pushed today), licensed Apache-2.0. It adds 69 tokens to every session and 11,681 once invoked, about $0.0003 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 2026-08-30.

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