neqsim-notebook-patterns

neqsim-notebook-patterns is a skill for Claude Code, Codex from equinor/neqsim. It costs 62 tokens per session (5,623 once invoked), scanned A, original, Apache-2.0.

A set of patterns for building Jupyter notebooks that use NeqSim, a process-simulation library. It covers project setup, notebook structure, charts, and the format used to save results.

In plain words
What is it for?
Use it when creating or reviewing notebooks for process simulation, thermodynamics, or pressure-volume-temperature analysis.
Why use it?
It keeps simulation notebooks connected to the project's current Java code and makes their outputs consistent. This reduces setup mistakes and makes results easier to review.

Skill for Claude CodeCodex

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

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is "python", "../../devtools/pdf_to_figures.py",.

Good fit Use it when creating or reviewing notebooks for process simulation, thermodynamics, or pressure-volume-temperature analysis.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim
agentmods
npx agentmods add skills/equinor/neqsim/neqsim-notebook-patterns

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-notebook-patterns

README.md
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Your own site · 80×15
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Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,623 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00062 $0.05623
Opus 5.5 $0.00025 $0.02249
Sonnet 5.5 $0.00012 $0.01125
Haiku 4.5 $0.00006 $0.00562

Measured today against content hash f453375f64cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-notebook-patterns scanned grade A with 1 finding 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 today.

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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

subprocess.run([
.github/skills/neqsim-notebook-patterns/SKILL.md · 587 lines

How it starts

The opening of the file, as written. The whole thing — 587 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Jupyter Notebook Patterns for NeqSim

Standard patterns for creating Jupyter notebooks that use workspace NeqSim Java classes via devtools.

Devtools Setup Cell (Use in Every Task Notebook)

Task notebooks under task_solve/ MUST load NeqSim through devtools/neqsim_dev_setup.py. This puts workspace Java classes from target/classes on the JVM classpath, so new or modified Java classes are available without copying a packaged JAR into the neqsim Python package.

import os
import sys
from pathlib import Path


def find_neqsim_project_root():
    env_root = os.environ.get("NEQSIM_PROJECT_ROOT")
    candidates = []
    if env_root:
        candidates.append(Path(env_root).resolve())
    cwd = Path.cwd().resolve()
    candidates.extend([cwd] + list(cwd.parents))
    for candidate in candidates:
        if (candidate / "pom.xml").exists() and (candidate / "devtools" / "neqsim_dev_setup.py").exists():
            return candidate
    raise RuntimeError("Could not find NeqSim project root. Set NEQSIM_PROJECT_ROOT.")


PROJECT_ROOT = find_neqsim_project_root()
sys.path.insert(0, str(PROJECT_ROOT / "devtools"))

from neqsim_dev_setup import neqsim_init, neqsim_classes

ns = neqsim_init(project_root=PROJECT_ROOT, recompile=False, verbose=True)
ns = neqsim_classes(ns)
NEQSIM_MODE = "devtools"
print("NeqSim loaded via devtools workspace classes")

Class Import Cell

# Classes are already available on ns from neqsim_classes(ns):
SystemSrkEos = ns.SystemSrkEos
ProcessSystem = ns.ProcessSystem
Stream = ns.Stream
Separator = ns.Separator
Compressor = ns.Compressor
Cooler = ns.Cooler
Heater = ns.Heater
ThrottlingValve = ns.ThrottlingValve
Mixer = ns.Mixer
Splitter = ns.Splitter

Do not use from neqsim import jneqsim in task notebooks or runner workflows. That imports the installed Python package and can miss workspace Java changes. Only published Colab-style examples outside task_solve/ may use jneqsim as an external-user pattern.

Common Class Paths

Read the full file on GitHub · 587 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. today Changed f453375f64cd
  2. 1mo ago First seen · 587 lines · 62 tokens per session scan A d933dc6853cd

Subscribe to this mod's changes

neqsim-notebook-patterns is a skill published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 62 tokens to every session and 5,623 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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