neqsim-regression-baselines SKILL.md skillA

neqsim-regression-baselines from equinor/neqsim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add equinor/neqsim/neqsim-regression-baselines@git:20260418.a3c26d6

Pins git:20260418.a3c26d6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
equinor/neqsim
Path
.github/skills/neqsim-regression-baselines/SKILL.md
Versions recorded
2
Latest version
git:20260418.a3c26d6, committed Apr 18, 2026
First version recorded
Mar 21, 2026
Size
6,827 bytes
Repository stars
167
License
Apache-2.0

Regression baseline management for NeqSim. USE WHEN: modifying solver logic, property correlations, or EOS implementations. Ensures changes don't silently degrade accuracy. Covers creating baseline fixtures, writing regression tests, and detecting accuracy drift.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# NeqSim Regression Baseline Management

Preventing silent accuracy drift in a physics engine requires committed baseline
values that CI validates on every build.

## Why Baselines Matter

A property correlation change that improves methane density by 0.1% might
degrade ethane viscosity by 5%. Without baselines, these regressions are invisible
until a downstream user reports wrong results months later.

## Baseline Workflow

### When to Create Baselines

Create baselines **before** modifying:
- Flash calculation algorithms (`flashops/`)
- Phase property calculations (`phase/`, `physicalproperties/`)
- Component parameter databases (`COMP.csv`, `mbwr32param.csv`)
- Mixing rule implementations
- Process equipment calculations that depend on thermodynamic properties
- Cost estimation or mechanical design correlations

### Step 1: Capture Current Values

Run the existing code and record results in a JSON fixture file:

```java
@Test
void captureBaseline_SRK_methane_density() {
    SystemInterface fluid = new SystemSrkEos(273.15 + 25.0, 60.0);
    fluid.addComponent("methane", 1.0);
    fluid.setMixingRule("classic");
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add equinor/neqsim/neqsim-regression-baselines@sha256:a8ae624389af14af

The line at the top of this page pins the label git:20260418.a3c26d6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bisqw2khh5puc5ze.svg)](https://markdownregistry.com/a/art_bisqw2khh5puc5ze)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Mar 21, 2026 and Apr 18, 2026, about one every 28 days.

versioncommittedcommitsizeaudit
git:20260418.a3c26d6 latest2026-04-18 a3c26d6 6,827 BA view · diff
git:20260321.1d018442026-03-21 1d01844 6,799 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6827 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

equinor/neqsim · 167 stars · license Apache-2.0 · pushed 2026-11-08 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_bisqw2khh5puc5ze
GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-regression-baselines
GET https://markdownregistry.com/api/v1/blob/a8ae624389af14afb69f3ddd795b0a1b30bfdb3c6a1be2a160fdf78098b7f9ea

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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