neqsim-surf-cooldown-screening

neqsim-surf-cooldown-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 74 tokens per session (1,596 once invoked), scanned A, original, Apache-2.0.

An educational calculator for estimating how long an insulated subsea pipe or riser stays above its hydrate-formation temperature after shutdown. SURF means subsea umbilicals, risers, and flowlines; hydrates are ice-like crystals that can block pipes.

In plain words
What is it for?
Estimating shutdown no-touch time, checking when remedial action may be needed, and explaining the assumptions behind a rough cooldown estimate.
Why use it?
It provides a quick public-data screening estimate before detailed engineering, while making clear that real cooldown and hydrate design need validated NeqSim methods.

Skill for Claude CodeCodex

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

Good fit Estimating shutdown no-touch time, checking when remedial action may be needed, and explaining the assumptions behind a rough cooldown estimate.

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Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/surf-cooldown-screening
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 surf-cooldown-screening
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-surf-cooldown-screening

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/surf-cooldown-screening/github.svg)](https://agentmods.dev/skills/equinor/neqsim-community-skills/surf-cooldown-screening)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/surf-cooldown-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/surf-cooldown-screening/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-surf-cooldown-screening

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/surf-cooldown-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/surf-cooldown-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,596 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 original No closer match found 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 $0.00074 $0.01596
Opus 5 $0.00037 $0.00798
Sonnet 5 $0.00015 $0.00319
Haiku 4.5 $0.00007 $0.00160

Measured 11d ago against content hash 5923bc483d40, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

neqsim-surf-cooldown-screening 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 11d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_surf_cooldown_screening.py, src/surf_cooldown_screening/__init__.py, src/surf_cooldown_screening/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.

skills/flow-assurance/surf-cooldown-screening/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SURF Cooldown Screening

Use this skill for a quick, public estimate of the no-touch time of an insulated subsea flowline or riser after a shutdown: how long the trapped fluid stays above its hydrate formation temperature (plus a safety margin) before remedial action (depressurization or inhibitor injection) is required. It is intentionally simple and should guide users toward validated NeqSim cooldown and hydrate workflows for real work.

When to Use

  • When a user asks roughly how long a subsea line can be left after shutdown before reaching the hydrate region.
  • When a validated NeqSim hydrate equilibrium temperature and a lumped thermal time constant (or the data to estimate one) are already available.
  • When an agent should explain that validated NeqSim methods are required for real cooldown, no-touch-time, and inhibitor design.

Inputs

  • initial_temperature: fluid temperature at shutdown in C.
  • seabed_temperature: ambient seabed (sink) temperature in C.
  • hydrate_equilibrium_temperature: hydrate formation temperature in C from a validated NeqSim calculation.
  • time_constant_hours: lumped exponential cooldown time constant in hours.
  • hydrate_margin: configurable margin above the hydrate temperature in C (constructor, default 3.0).
  • required_no_touch_time: optional operational target in hours (constructor).

A helper, time_constant_from_lumped_mass, estimates time_constant_hours from fluid density, specific heat, internal diameter, and an overall U-value using the public lumped relation tau = rho * cp * D / (4 * U).

Outputs

  • no_touch_time_hours: time to cool to the hydrate target temperature.
  • target_temperature_c: hydrate equilibrium temperature plus the margin.
  • verdict: ok, marginal, critical, or no_hydrate_risk.
  • neqsim_available: whether the optional NeqSim package is importable.
  • assumptions: public assumptions and required follow-up.

Engineering Method

The placeholder uses a single-node (lumped) exponential cooldown:

Read the full file on GitHub · 159 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. 11d ago First seen · 159 lines · 74 tokens per session scan A 5923bc483d40

Subscribe to this mod's changes

neqsim-surf-cooldown-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 74 tokens to every session and 1,596 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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