neqsim-fluid-quality-check

neqsim-fluid-quality-check is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 47 tokens per session (1,033 once invoked), scanned A, original, Apache-2.0.

A checker for the quality of a fluid composition, where each component has a mole fraction showing its share of the mixture. It checks totals, negative values, required components, and the presence of water, carbon dioxide, or hydrogen sulfide.

In plain words
What is it for?
Use it to validate gas, oil, condensate, or synthetic composition tables and produce warnings about unusable or potentially important components.
Why use it?
It catches malformed or incomplete compositions before they are used in examples or fluid simulations. This helps separate input-data problems from later simulation problems.

Skill for Claude CodeCodex

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

Good fit Use it to validate gas, oil, condensate, or synthetic composition tables and produce warnings about unusable or potentially important components.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-fluid-quality-check
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-fluid-quality-check
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-fluid-quality-check

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-fluid-quality-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-fluid-quality-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,033 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 $0.00047 $0.01033
Opus 5.5 $0.00019 $0.00413
Sonnet 5.5 $0.00009 $0.00207
Haiku 4.5 $0.00005 $0.00103

Measured 1mo ago against content hash cfe6a40fb34b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-fluid-quality-check 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/check_public_composition.py, src/fluid_quality_check/__init__.py, src/fluid_quality_check/checker.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/pvt/neqsim-fluid-quality-check/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fluid Quality Check

Use this skill to check whether a public fluid composition is well-formed before it is used in examples, notebooks, or NeqSim simulations.

When to Use

  • When a task includes a gas, oil, condensate, or synthetic composition table.
  • When mole fractions should sum close to 1.0 before simulation.
  • When an agent should flag negative fractions, missing required components, water, CO2, or H2S.
  • When composition validation must avoid confidential or proprietary data.

Inputs

  • composition: mapping of component name to mole fraction.
  • required_components: optional sequence of components that must be present.
  • tolerance: acceptable absolute deviation from a total mole fraction of 1.0.

Outputs

  • total_fraction: sum of all fractions.
  • total_within_tolerance: whether the total is close to 1.0.
  • negative_components: components with negative fractions.
  • missing_components: required components absent from the composition.
  • flagged_components: values for water, CO2, and H2S when present.
  • warnings: human-readable quality messages.
  • is_usable: true only when no blocking quality issue is found.

Engineering Method

The checker performs transparent public data-quality checks only. It does not estimate missing components, tune an equation of state, characterize plus fractions, regress binary interaction parameters, or validate laboratory procedures.

Python Usage Pattern

from fluid_quality_check import FluidQualityChecker

composition = {
    "methane": 0.82,
    "ethane": 0.08,
    "propane": 0.04,
    "CO2": 0.03,
    "water": 0.03,
}

checker = FluidQualityChecker(required_components=("methane", "ethane", "propane"))
result = checker.check(composition)

print(result.is_usable)
print(result.warnings)

If the optional neqsim Python package is available, the result records that fact so an agent can proceed to NeqSim-specific setup checks. If not, the quality checks still run.

Validation Checklist

Read the full file on GitHub · 112 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 · 112 lines · 47 tokens per session scan A cfe6a40fb34b

Subscribe to this mod's changes

neqsim-fluid-quality-check is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 1,033 once invoked, about $0.0002 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.

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