neqsim-pipeline-survey-processing

neqsim-pipeline-survey-processing is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 156 tokens per session (3,454 once invoked), scanned A, a copy of neqsim-pipeline-survey-processing, Apache-2.0.

An educational data-processing workflow that turns pipeline survey rows into a cleaned, standardised pipeline profile with a record of each processing decision.

In plain words
What is it for?
It is for preparing survey data for a NeqSim pipe model and flagging possible errors, free spans, and burial or cover changes. It reports geometric candidates, not engineering safety analyses.
Why use it?
It replaces undocumented spreadsheet cleanup with a repeatable process and reviewable log.

Skill for Claude CodeCodex

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

Good fit It is for preparing survey data for a NeqSim pipe model and flagging possible errors, free spans, and burial or cover changes. It reports geometric candidates, not engineering safety analyses.

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Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/pipeline-survey-processing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add equinor/neqsim-community-skills --skill pipeline-survey-processing
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim-community-skills

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-pipeline-survey-processing

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/pipeline-survey-processing/github.svg)](https://agentmods.dev/skills/equinor/neqsim-community-skills/pipeline-survey-processing)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/pipeline-survey-processing"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/pipeline-survey-processing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for neqsim-pipeline-survey-processing

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/pipeline-survey-processing"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/pipeline-survey-processing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 156 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,454 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 95% copy Near-identical to another mod 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 $0.00156 $0.03454
Opus 5 $0.00078 $0.01727
Sonnet 5 $0.00031 $0.00691
Haiku 4.5 $0.00016 $0.00345

Measured 9d ago against content hash 2b3d613c7bc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

neqsim-pipeline-survey-processing scanned grade A with 0 findings 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 9d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_pipeline_survey_processing.py, src/pipeline_survey_processing/__init__.py, src/pipeline_survey_processing/model.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

95% identical to neqsim-pipeline-survey-processing — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/subsea/pipeline-survey-processing/SKILL.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 before a profile is trusted.
  • Only part of a surveyed line is in scope, and the section between two structures must be extracted with the trim recorded.
  • Free-span or cover candidates need to be located along KP as input to a DNV-RP-F105 or DNV-RP-F114 assessment.
  • Two surveys of the same line, taken years apart, need a like-for-like change comparison.
  • The survey lacks outer diameter and a value has to be supplied manually with the override recorded as a data gap.

When Not to Use

  • As a free-span assessment. Span candidates here are geometry only; modal response, VIV screening and fatigue belong to DNV-RP-F105 and to a qualified pipeline engineer.
  • As a positioning or datum authority. This skill normalises a sign convention and projects coordinates for screening; it does not perform geodetic datum transformation and must not be used to reconcile survey datums.
  • To conclude that a pipeline has moved. A change between surveys can be datum, tide, or survey uncertainty as easily as real movement.
  • On confidential survey files in a public workspace. Inputs must be public, synthetic, or approved for open-source use.

Read the full file on GitHub · 267 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 267 lines · 156 tokens per session scan A 2b3d613c7bc2

Subscribe to this mod's changes

neqsim-pipeline-survey-processing is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 156 tokens to every session and 3,454 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to neqsim-pipeline-survey-processing, differing in 1 line, and is treated as a copy.

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