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neqsim-depressurization-screening

neqsim-depressurization-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 57 tokens per session (1,195 once invoked), scanned A, original, Apache-2.0.

An educational screening calculator for emergency depressurisation, also called blowdown, where vessel pressure is reduced by venting gas. It estimates time to a target pressure and flags possible low temperatures from gas expansion.

In plain words
What is it for?
Use it for public screening examples, quick blowdown triage, and checks against a minimum design metal temperature before detailed engineering.
Why use it?
It gives an early indication of timing and cold-temperature concerns without pretending to replace a validated transient model or equipment design review. It can be used without confidential vessel or valve data.

Skill for Claude CodeCodex

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

not rated 4repo today A scan 57 tokens original Apache-2.0

Good fit Use it for public screening examples, quick blowdown triage, and checks against a minimum design metal temperature before detailed engineering.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-depressurization-screening
View source ↗ equinor/neqsim-community-skills equinor.github.io
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 neqsim-depressurization-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-depressurization-screening

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-depressurization-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-depressurization-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,195 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 $0.00057 $0.01195
Opus 5.5 $0.00023 $0.00478
Sonnet 5.5 $0.00011 $0.00239
Haiku 4.5 $0.00006 $0.00120

Measured 1mo ago against content hash 736b82c45ab5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-depressurization-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 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_depressurization_screening.py, src/depressurization_screening/__init__.py, src/depressurization_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/safety/neqsim-depressurization-screening/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Depressurization Screening

Use this skill for public, educational emergency depressurization (blowdown) screening examples. It provides a simple time-to-target indicator and an auto-refrigeration low-temperature flag that help agents structure early blowdown questions before moving to a validated transient depressurization model and material low-temperature review.

When to Use

  • When a user asks for a quick, public blowdown time triage example.
  • When an agent needs a placeholder estimate of cold-end temperature for a low-temperature flag.
  • When examples must run without confidential vessel data, valve sizing, or company blowdown bases.

Inputs

  • initial_pressure: starting pressure in bara.
  • target_pressure: target depressurization pressure in bara.
  • inventory: vessel gas inventory in kg.
  • vent_mass_rate: representative blowdown mass rate in kg/h.
  • relieving_temperature: starting fluid temperature in C.
  • mdmt: minimum design metal temperature in C, default -20.

Outputs

  • blowdown_time_indicator: dimensionless ratio of estimated blowdown time to a configurable public target time.
  • estimated_blowdown_time_min: estimated time to reach the target pressure, in minutes.
  • estimated_min_temperature_C: simplified isentropic cold-end temperature estimate.
  • low_temperature_flag: True when the cold-end estimate is below the MDMT.
  • depressurization_warning: ok, watch, or high.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class DepressurizationModel uses open placeholder calculations only:

  • the vented mass to reach the target pressure is scaled from inventory using a linear pressure-fraction placeholder.
  • blowdown time is the vented mass divided by the representative blowdown rate.
  • the cold-end temperature uses a simplified isentropic expansion relation with a public isentropic exponent.
  • warnings combine a too-slow blowdown indicator with the low-temperature flag.

Read the full file on GitHub · 113 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. 1mo ago First seen · 113 lines · 57 tokens per session scan A 736b82c45ab5

Subscribe to this mod's changes

neqsim-depressurization-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 1,195 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-19.

Scientific
Related

neqsim-depressurization-screening compared with skills from other repositories

neqsim-depressurization-screening next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
neqsim-depressurization-screeningequinor/neqsim-community-skillsSkill4todayApache-2.0A57Claude Code, Codex
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matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
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research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code