neqsim-psv-orifice-screening

neqsim-psv-orifice-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 64 tokens per session (1,215 once invoked), scanned A, original, Apache-2.0.

An educational calculator for estimating the gas-flow opening area needed by a pressure-safety valve and mapping it to a standard valve-orifice letter. A pressure-safety valve opens automatically when pressure becomes too high.

In plain words
What is it for?
Use it to screen the required valve opening for a gas-relief case and identify a corresponding standard orifice designation.
Why use it?
It provides an early sizing indication before detailed valve selection, vendor checks, and full relief-system design.

Skill for Claude CodeCodex

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

Good fit Use it to screen the required valve opening for a gas-relief case and identify a corresponding standard orifice designation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-psv-orifice-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 neqsim-psv-orifice-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-psv-orifice-screening

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-psv-orifice-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-psv-orifice-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,215 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 $0.00064 $0.01215
Opus 5.5 $0.00026 $0.00486
Sonnet 5.5 $0.00013 $0.00243
Haiku 4.5 $0.00006 $0.00121

Measured 1mo ago against content hash 1abdbe076eb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-psv-orifice-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_psv_orifice_screening.py, src/psv_orifice_screening/__init__.py, src/psv_orifice_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-psv-orifice-screening/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PSV Orifice Screening

Use this skill for public, educational pressure-safety-valve (PSV) orifice screening. It estimates the required effective orifice area for critical gas flow using the open API 520 Part I equation and maps it to a standard API letter designation so an agent can scope a relief study before detailed sizing.

When to Use

  • When a user asks roughly what PSV orifice letter a gas relief case needs.
  • When an agent needs a quick relief-area triage before detailed API 520 sizing.
  • When examples must run without confidential valve data, vendor capacity charts, or company relief specs.

Inputs

  • relief_rate: required relief mass flow W in kg/h.
  • relieving_pressure: upstream relieving pressure P1 in bar absolute.
  • temperature: relieving temperature T in kelvin.
  • compressibility: gas compressibility factor Z, default 1.0.
  • molecular_weight: gas molecular weight M in g/mol.
  • specific_heat_ratio: ratio of specific heats k, default 1.3.
  • discharge_coefficient: effective discharge coefficient Kd, default 0.975.
  • back_pressure_correction: back-pressure correction Kb, default 1.0.
  • combination_correction: rupture-disk combination correction Kc, default 1.0.

Outputs

  • coefficient_c: the C coefficient from k.
  • required_area_mm2: required effective orifice area.
  • selected_orifice: the smallest standard API orifice that meets the area, or none.
  • selected_orifice_area_mm2: the area of the selected orifice.
  • area_margin_ratio: ratio of selected area to required area.
  • psv_warning: ok, watch, or oversize-needed.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class PsvOrificeModel uses the open API 520 Part I critical gas-flow equation only:

  • the coefficient uses C = 0.03948 * sqrt(k (2 / (k + 1))^((k + 1) / (k - 1))) in SI-consistent screening form.
  • the required area uses A = (W / (C Kd P1 Kb Kc)) * sqrt(T Z / M).
  • the area is mapped to the standard API 526 orifice letters (D through T) using their published effective areas.
  • the warning is a simple rule-based label aligned with API 520 intent.

Read the full file on GitHub · 110 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 · 110 lines · 64 tokens per session scan A 1abdbe076eb4

Subscribe to this mod's changes

neqsim-psv-orifice-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 1,215 once invoked, about $0.0003 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.

Related

neqsim-psv-orifice-screening compared with skills from other repositories

neqsim-psv-orifice-screening next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
neqsim-psv-orifice-screeningequinor/neqsim-community-skillsSkill4todayApache-2.0A64Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k3d agoApache-2.0A123Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA83Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code