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neqsim-reciprocating-compressor-screening

neqsim-reciprocating-compressor-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 75 tokens per session (1,327 once invoked), scanned A, original, Apache-2.0.

An early calculation for a reciprocating compressor, a compressor that moves gas with pistons. It estimates cylinder efficiency, inlet capacity, the number of compression stages, discharge temperature, and rod-load use from operating inputs.

In plain words
What is it for?
Use it to screen compressor stages, actual gas capacity, discharge temperature, and mechanical load for a reciprocating compressor.
Why use it?
It gives a quick indication of whether a proposed compression duty is reasonable without vendor curves or confidential equipment data. It helps scope a more detailed compressor study.

Skill for Claude CodeCodex

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

not rated 4repo today A scan 75 tokens original Apache-2.0

Good fit Use it to screen compressor stages, actual gas capacity, discharge temperature, and mechanical load for a reciprocating compressor.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-reciprocating-compressor-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reciprocating-compressor-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,327 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 $0.00075 $0.01327
Opus 5.5 $0.00030 $0.00531
Sonnet 5.5 $0.00015 $0.00265
Haiku 4.5 $0.00007 $0.00133

Measured 1mo ago against content hash 3dd14d71f156, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-reciprocating-compressor-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_reciprocating_compressor_screening.py, src/reciprocating_compressor_screening/__init__.py, src/reciprocating_compressor_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/process/neqsim-reciprocating-compressor-screening/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reciprocating Compressor Screening

Use this skill for public, educational reciprocating-compressor screening. It estimates clearance volumetric efficiency, actual inlet capacity, the required number of stages, discharge temperature, and a rod-load utilisation ratio so an agent can scope a reciprocating-compression study before detailed selection.

When to Use

  • When a user asks how many stages a reciprocating compressor needs or what its volumetric efficiency is.
  • When an agent needs a quick actual-capacity and discharge-temperature estimate for a positive-displacement machine.
  • When examples must run without confidential compressor data, vendor curves, or company specs.

Inputs

  • suction_pressure: stage suction pressure P1 in bar absolute.
  • discharge_pressure: final discharge pressure P2 in bar absolute.
  • suction_temperature: suction temperature T1 in kelvin.
  • swept_volume_rate_m3_h: geometric (swept) volume rate in m3/h.
  • clearance_fraction: cylinder clearance fraction C, default 0.12.
  • specific_heat_ratio: ratio of specific heats k, default 1.3.
  • leakage_allowance: leakage/loss allowance L, default 0.03.
  • rated_rod_load_kn: optional rated rod load in kN for the rod-load comparison.
  • piston_area_m2: optional piston area in m2 for the rod-load comparison.

Outputs

  • pressure_ratio: overall P2 / P1.
  • stages: integer number of stages keeping each stage below max_stage_ratio.
  • stage_pressure_ratio: per-stage pressure ratio.
  • volumetric_efficiency: clearance volumetric efficiency.
  • actual_inlet_capacity_m3_h: swept rate multiplied by volumetric efficiency.
  • discharge_temperature_k: first-stage isentropic discharge temperature.
  • rod_load_ratio: gas rod load divided by rated rod load, or null.
  • capacity_warning: ok, watch, low-volumetric-efficiency, or discharge-temp-high.
  • rod_load_warning: ok, watch, rod-load-exceeded, or no-rating.
  • assumptions: public assumptions used by the placeholder model.

Read the full file on GitHub · 118 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 · 118 lines · 75 tokens per session scan A 3dd14d71f156

Subscribe to this mod's changes

neqsim-reciprocating-compressor-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 75 tokens to every session and 1,327 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.

Scientific
Related

neqsim-reciprocating-compressor-screening compared with skills from other repositories

neqsim-reciprocating-compressor-screening next to 6 skills from other repositories
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