neqsim-production-system-modeling SKILL.md skillA

neqsim-production-system-modeling 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-production-system-modeling@git:20261026.b9133bb

Pins git:20261026.b9133bb 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-production-system-modeling/SKILL.md
Versions recorded
2
Latest version
git:20261026.b9133bb, committed Oct 26, 2026
First version recorded
Oct 24, 2026
Size
8,040 bytes
Repository stars
167
License
Apache-2.0

Build NeqSim models from natural language in Python or Java: reservoir, production/injection wells, SURF templates/manifolds/PLEMs, multiphase flowlines and risers, facilities, utilities and downstream processing. USE WHEN: building reservoir-to-products models, coupled deliverability/capacity and equivalent language implementations. Compose core/community specialists and optional enterprise overlays.

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

# Natural-language production-system modeling

Translate the requested system into one explicit topology, physics basis and
executable model in the user's chosen language. Reuse NeqSim Java models through
the Python bridge or directly from Java; do not create a second Python physics
implementation. Load [references/chain-contract.md](references/chain-contract.md)
for stage-specific inputs, APIs, specialist routes and evidence.

## 1. Translate the request into a model contract

Record the objective, requested Python/Java deliverable, steady/transient/time
horizon, production and injection paths, topology and fidelity at each stage.
Extract fluids, well count, routes, geometry, elevations, thermal environment,
facility/utility capacities, export/product requirements and controls. Distinguish
user data, measured/calibrated values, synthetic assumptions and unresolved gaps.
Ask only for missing decision-critical inputs; use labeled synthetic assumptions
when the request permits a demonstration. Do not invent plant or reservoir facts.

Represent every requested stage and interface in the plan. Keep the reservoir,
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add equinor/neqsim/neqsim-production-system-modeling@sha256:6bdb7f07ef1b7301

The line at the top of this page pins the label git:20261026.b9133bb, 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_upxou7foayf3peo6.svg)](https://markdownregistry.com/a/art_upxou7foayf3peo6)

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

Versions

The registry has recorded 2 versions of this file, between Oct 24, 2026 and Oct 26, 2026, about one every 2 days.

versioncommittedcommitsizeaudit
git:20261026.b9133bb latest2026-10-26 b9133bb 8,040 BA view · diff
git:20261024.ab0a14e2026-10-24 ab0a14e 8,012 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 (8040 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_upxou7foayf3peo6
GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-production-system-modeling
GET https://markdownregistry.com/api/v1/blob/6bdb7f07ef1b73013fe28f08a97884aead84ebe61c1de635609449fd328a5fcd

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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