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neqsim-co2-emissions-screening

neqsim-co2-emissions-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 83 tokens per session (1,182 once invoked), scanned A, original, Apache-2.0.

An educational calculation for estimating carbon dioxide released when a listed fuel-gas mixture is fully burned. It uses the mixture composition and flow rate to produce a screening-level emission rate, rather than a certified report.

In plain words
What is it for?
It is for screening emissions from fuel used by turbines, heaters, or flares and comparing the estimate with an optional daily limit.
Why use it?
It provides an early estimate when detailed combustion modelling, private meter data, or certified emission factors are not yet available.

Skill for Claude CodeCodex

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

not rated 4repo 4d ago A scan 83 tokens original Apache-2.0

Good fit It is for screening emissions from fuel used by turbines, heaters, or flares and comparing the estimate with an optional daily limit.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-co2-emissions-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-co2-emissions-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-co2-emissions-screening

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-co2-emissions-screening/github.svg)](https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-co2-emissions-screening)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-co2-emissions-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-co2-emissions-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-co2-emissions-screening

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-co2-emissions-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-co2-emissions-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,182 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 $0.00083 $0.01182
Opus 5.5 $0.00033 $0.00473
Sonnet 5.5 $0.00017 $0.00236
Haiku 4.5 $0.00008 $0.00118

Measured 1mo ago against content hash d7129c7c900f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-co2-emissions-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_co2_emissions_screening.py, src/co2_emissions_screening/__init__.py, src/co2_emissions_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/environment/neqsim-co2-emissions-screening/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CO2 Emissions Screening

Use this skill for public, educational combustion-CO2 emission screening. It estimates the CO2 mass rate from full combustion of a fuel-gas stream using public per-component carbon counts, so an agent can scope an emission rate before detailed combustion modelling or certified emission-factor reporting.

When to Use

  • When a user asks roughly how much CO2 a fuel-gas stream produces when burned.
  • When an agent needs a quick emission rate for turbine, heater, or flare fuel.
  • When examples must run without confidential metering or certified emission factors.

Inputs

  • composition: dict of component name to mole fraction (normalized internally).
  • molar_flow: fuel-gas molar flow in mol/s (provide this or mass_flow).
  • mass_flow: fuel-gas mass flow in kg/s (provide this or molar_flow).
  • co2_limit_t_per_day: optional CO2 limit in tonnes/day for the flag.

Supported components: methane, ethane, propane, n/i-butane, n/i-pentane, hexane, CO2, CO, nitrogen, hydrogen, water, oxygen, H2S, helium.

Outputs

  • mixture_molecular_weight_g_mol: composition-weighted molecular weight.
  • carbon_per_mole_fuel: carbon atoms per mole of fuel mixture.
  • co2_mass_rate_kg_s: CO2 mass rate.
  • co2_mass_rate_t_per_day: CO2 rate in tonnes/day.
  • specific_co2_kg_per_kg_fuel: CO2 mass per unit fuel mass.
  • emission_warning: ok, over-limit, or no-limit.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class CombustionCO2Model uses public combustion stoichiometry:

  • the carbon per mole of fuel uses C = sum(y_i * carbon_number_i).
  • the CO2 mass rate uses m_CO2 = n_fuel * C * M_CO2 with M_CO2 = 44.01 g/mol.
  • complete combustion is assumed, so every fuel carbon atom becomes one CO2; feed CO2 is carried through and counted.
  • mass-flow input is converted to molar flow with the composition-weighted molecular weight.

This is educational and screening-only logic. It assumes complete combustion with no combustion efficiency, unburned-carbon slip, flaring loss, or capture credit. It is not a replacement for validated combustion modelling, ISO 6976 calculations, certified emission factors, and qualified reporting.

Read the full file on GitHub · 107 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 · 107 lines · 83 tokens per session scan A d7129c7c900f

Subscribe to this mod's changes

neqsim-co2-emissions-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 83 tokens to every session and 1,182 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-co2-emissions-screening compared with skills from other repositories

neqsim-co2-emissions-screening next to 6 skills from other repositories
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