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neqsim-utility-balance-screening

neqsim-utility-balance-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 95 tokens per session (1,526 once invoked), scanned A, original, Apache-2.0.

An early calculation for shared plant utilities: instrument air, cooling water, and fuel gas. It estimates demand or flow, checks fuel-gas Wobbe index against a band, and rolls the results into a simple capacity-use check.

In plain words
What is it for?
Use it to screen instrument-air demand, cooling-water flow, fuel-gas suitability, and overall utility capacity margin.
Why use it?
It helps reveal whether utility systems may be undersized before detailed design. It provides a common first estimate when complete project or vendor data is not available.

Skill for Claude CodeCodex

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

not rated 4repo changed 19d ago A scan 95 tokens original Apache-2.0

Good fit Use it to screen instrument-air demand, cooling-water flow, fuel-gas suitability, and overall utility capacity margin.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-utility-balance-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-utility-balance-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,526 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 $0.00095 $0.01526
Opus 5.5 $0.00038 $0.00610
Sonnet 5.5 $0.00019 $0.00305
Haiku 4.5 $0.00010 $0.00153

Measured 19d ago against content hash 97a2f665bb16, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-utility-balance-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 19d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_utility_balance_screening.py, src/utility_balance_screening/__init__.py, src/utility_balance_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-utility-balance-screening/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Utility Balance Screening

Use this skill for public, educational utility-system screening. It estimates instrument air demand, cooling water flow from a duty and a cooling-water temperature rise, a fuel gas Wobbe index with a band check, and a simple capacity utilisation roll-up so an agent can scope a utility study before detailed design.

When to Use

  • When a user asks how much instrument air a set of consumers needs or whether the air/cooling supply is large enough.
  • When an agent needs a quick cooling-water flow estimate from a heat duty and a permitted temperature rise.
  • When a fuel gas Wobbe index must be screened against a sales/fuel band without confidential gas data.
  • When examples must run without proprietary utility loads, vendor data, or company specs.

Inputs

  • instrument_air_consumers: number of instrument air consumers (integer count).
  • air_per_consumer_nm3_h: average free-air demand per consumer in Nm3/h, default 0.3.
  • cooling_duty_kw: total cooling duty to reject in kW, default 0.
  • cooling_water_delta_t_c: permitted cooling-water temperature rise in degrees C, default 10.
  • fuel_gas_lhv_mj_sm3: optional fuel gas lower heating value in MJ/Sm3.
  • fuel_gas_relative_density: optional fuel gas relative density (air = 1).
  • wobbe_min: lower Wobbe index band in MJ/Sm3, default 47.2.
  • wobbe_max: upper Wobbe index band in MJ/Sm3, default 51.41.
  • instrument_air_capacity_nm3_h: optional installed instrument air capacity in Nm3/h.
  • cooling_water_capacity_m3_h: optional installed cooling water capacity in m3/h.

Outputs

  • instrument_air_demand_nm3_h: consumer count multiplied by per-consumer demand and a design margin.
  • cooling_water_flow_m3_h: cooling water flow from the duty and the temperature rise.
  • wobbe_index_mj_sm3: fuel gas Wobbe index, or null if no fuel gas data is supplied.
  • wobbe_in_band: True/False if a Wobbe index is computed, otherwise null.
  • air_utilisation: demand divided by installed air capacity, or null.
  • cooling_utilisation: flow divided by installed cooling capacity, or null.
  • utility_warning: ok, watch, air-undersized, or cooling-undersized.
  • wobbe_warning: ok, wobbe-out-of-range, or no-fuel-data.
  • assumptions: public assumptions used by the placeholder model.

Read the full file on GitHub · 121 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. 19d ago Changed 97a2f665bb16
  2. 1mo ago First seen · 121 lines · 95 tokens per session scan A 7a30ac7e8f4f

Subscribe to this mod's changes

neqsim-utility-balance-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 95 tokens to every session and 1,526 once invoked, about $0.0004 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
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neqsim-utility-balance-screening next to 6 skills from other repositories
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