neqsim-hydrate-margin-check

neqsim-hydrate-margin-check is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 56 tokens per session (1,045 once invoked), scanned A, original, Apache-2.0.

A simple screening check for whether a process temperature stays above a known hydrate-formation temperature. Hydrates are ice-like solids that can block pipes carrying water and hydrocarbons.

In plain words
What is it for?
Use it with an operating temperature, a validated hydrate-equilibrium temperature, and an acceptable margin to calculate the margin, subcooling, and warning level.
Why use it?
It provides a quick temperature-margin warning while making clear that real hydrate prediction and inhibitor design need validated NeqSim calculations.

Skill for Claude CodeCodex

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

Good fit Use it with an operating temperature, a validated hydrate-equilibrium temperature, and an acceptable margin to calculate the margin, subcooling, and warning level.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/hydrate-margin-check
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 hydrate-margin-check
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-hydrate-margin-check

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/hydrate-margin-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/hydrate-margin-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,045 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 $0.00056 $0.01045
Opus 5 $0.00028 $0.00522
Sonnet 5 $0.00011 $0.00209
Haiku 4.5 $0.00006 $0.00104

Measured 11d ago against content hash 66594772f608, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

neqsim-hydrate-margin-check 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_hydrate_margin_check.py, src/hydrate_margin_check/__init__.py, src/hydrate_margin_check/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/hydrate-margin-check/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hydrate Margin Check

Use this skill for a quick, public check of whether a process or pipeline operating point keeps a temperature margin above a known hydrate equilibrium temperature. It is intentionally simple and should guide users toward validated NeqSim hydrate calculations for real work.

When to Use

  • When a user asks whether an operating temperature stays clear of the hydrate region.
  • When a validated NeqSim hydrate equilibrium temperature is already available.
  • When an agent should explain that validated NeqSim methods are required for real hydrate prediction and inhibitor design.

Inputs

  • operating_temperature: operating temperature in C.
  • hydrate_equilibrium_temperature: hydrate equilibrium (formation) temperature in C from a validated NeqSim calculation.
  • min_margin: configurable minimum acceptable margin in C (constructor, default 3.0).

Outputs

  • hydrate_margin_c: operating temperature minus the hydrate equilibrium temperature in C.
  • subcooling_c: subcooling into the hydrate region in C, zero when the operating point is outside the region.
  • margin_warning: ok, watch, or high.
  • neqsim_available: whether the optional NeqSim package is importable.
  • assumptions: public assumptions and required follow-up.

Engineering Method

The placeholder method computes the hydrate margin as operating_temperature - hydrate_equilibrium_temperature. A non-positive margin means the operating point is inside the hydrate region and is flagged high. A small positive margin below min_margin is flagged watch. A larger margin is flagged ok.

This is not a thermodynamic hydrate model. The hydrate equilibrium temperature must come from a validated NeqSim hydrate calculation with a defined fluid composition, water content, inhibitor basis, and operating envelope.

Python Usage Pattern

from hydrate_margin_check import HydrateMarginModel

model = HydrateMarginModel(min_margin=3.0)
result = model.evaluate(
    operating_temperature=10.0,
    hydrate_equilibrium_temperature=8.0,
)

print(result.hydrate_margin_c)
print(result.margin_warning)
print(result.assumptions)

Read the full file on GitHub · 100 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 · 100 lines · 56 tokens per session scan A 66594772f608

Subscribe to this mod's changes

neqsim-hydrate-margin-check is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 1,045 once invoked, about $0.0003 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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