neqsim-pipeline-survey-processing SKILL.md skillA

neqsim-pipeline-survey-processing 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-pipeline-survey-processing@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-pipeline-survey-processing/SKILL.md
Versions recorded
3
Latest version
v0.1.0, committed Oct 18, 2026
First version recorded
Aug 10, 2026
Size
14,506 bytes
Repository stars
167
License
Apache-2.0

Educational as-built pipeline survey processing: raw KP/depth/seabed/coordinate rows to a cleaned, sign-normalised pipeline profile with flagged points, free-span and cover candidates, repeat-survey comparison, processing log and a NeqSim-ready elevation profile. USE WHEN: a task needs a screening-level pipeline profile from survey or inspection data before DNV-RP-F105, F109, F114 or NeqSim thermal-hydraulic analysis.

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

# Pipeline Survey Processing

A pipeline hydraulic or integrity model needs an elevation profile. The profile
almost always starts life as a survey file: thousands of rows of KP, depth to top
of pipe, seabed depth and coordinates, produced by a different discipline, in a
different datum, with null markers, duplicated stations, sections that belong to a
neighbouring line, and a handful of points that are simply wrong.

The step from that file to a usable profile is where the numbers are decided, and
it is normally done by hand in a spreadsheet with no record of what was done. This
skill makes that step explicit and repeatable: every filter, sign flip, projection
and rejection is written into a processing log that travels with the result, so a
reviewer can see how the profile in front of them was produced.

It stops at the profile. Free spans and burial intervals are reported as geometric
*candidates* for a qualified assessment - it does not perform modal, VIV, fatigue
or stability analysis.

## When to Use

- A survey or inspection export must become a pipeline elevation profile for a
  NeqSim pipe model.
- Erroneous points, null markers or duplicated stations need to be identified
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add equinor/neqsim/neqsim-pipeline-survey-processing@sha256:49ce39df475ad08e

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_khwv5fnazwx4b2u6.svg)](https://markdownregistry.com/a/art_khwv5fnazwx4b2u6)

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

Versions

The registry has recorded 3 versions of this file, between Aug 10, 2026 and Oct 18, 2026, about one every 35 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-10-18 2bcd926 14,506 BA view · diff
v0.1.02026-09-26 08d0028 14,478 BA view · diff
v0.1.02026-08-10 05d3ba9 14,709 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 (14506 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_khwv5fnazwx4b2u6
GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-pipeline-survey-processing
GET https://markdownregistry.com/api/v1/blob/49ce39df475ad08e31d6f8bec397b32521e13951bff2d16e22a01e6d71605b12

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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