neqsim-wax-calculations SKILL.md skillA

neqsim-wax-calculations 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-wax-calculations@v0.1.0

Pins v0.1.0 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-wax-calculations/SKILL.md
Versions recorded
4
Latest version
v0.1.0, committed Oct 15, 2026
First version recorded
Jul 9, 2026
Size
12,111 bytes
Repository stars
167
License
Apache-2.0

Use when: performing NeqSim wax calculations, wax appearance temperature (WAT), wax fraction versus temperature curves, wax precipitation, waxy-oil viscosity, wax model tuning, or wax inhibitor screening for flow assurance studies. Covers the verified Java and Python API setup for wax-forming oils with TBP and plus fractions.

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 Wax Calculations

Use this skill when a task needs a real NeqSim wax workflow rather than the simple wax-margin screening placeholder. Typical outputs are wax appearance temperature (WAT), wax weight fraction versus temperature, wax fraction along a pressure profile, waxy-oil viscosity sensitivity, and optional inhibitor dose-response screening.

## When to Use

- A user asks for wax appearance temperature, WAT, wax precipitation, or wax phase calculations.
- A flow-assurance study needs wax fraction as a function of temperature or pressure.
- A crude assay contains TBP or plus fractions that can be characterized into wax-forming pseudo-components.
- A wax inhibitor, pour-point depressant, or cold-restart discussion needs a NeqSim WAT basis.
- A task needs to compare an operating or pipeline temperature profile against wax onset.

For a quick margin calculation when WAT is already known, use `neqsim-wax-margin-check`. For broader pipeline and hydrate/wax/asphaltene context, also load `neqsim-flow-assurance`.

## Required Inputs

- Oil or condensate composition including wax-forming heavy fractions. Prefer measured TBP cuts and plus-fraction molar mass and density.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add equinor/neqsim/neqsim-wax-calculations@sha256:1661e047035fdc5d

The line at the top of this page pins the label v0.1.0, 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_36l5ryicmqrbmsmk.svg)](https://markdownregistry.com/a/art_36l5ryicmqrbmsmk)

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

Versions

The registry has recorded 4 versions of this file, between Jul 9, 2026 and Oct 15, 2026, about one every 32 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-10-15 c807b9e 12,111 BA view · diff
v0.1.02026-09-07 9ca9ea2 11,843 BA view · diff
v0.1.02026-08-10 05d3ba9 11,531 BA view · diff
v0.1.02026-07-09 4a016a7 10,665 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 (12111 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_36l5ryicmqrbmsmk
GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-wax-calculations
GET https://markdownregistry.com/api/v1/blob/1661e047035fdc5d68ea7d383dedd8336ac49b6e37385547a15bfca9e136ff7b

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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