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neqsim-energy-emissions-screening

neqsim-energy-emissions-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 87 tokens per session (1,305 once invoked), scanned A, original, Apache-2.0.

A field-life calculator that turns yearly energy use into carbon-dioxide-equivalent emissions, carbon intensity, and optional carbon-tax cost. Carbon-dioxide equivalent expresses different greenhouse gases in a common climate-impact measure.

In plain words
What is it for?
It helps calculate annual and total emissions, kilograms of CO2e per barrel of oil equivalent, and an optional tax cost from energy and production inputs.
Why use it?
It provides an early view of total and per-year emissions without requiring certified emission factors or confidential field data. It also connects energy use with production when a production profile is supplied.

Skill for Claude CodeCodex

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

not rated 4repo 4d ago A scan 87 tokens original Apache-2.0

Good fit It helps calculate annual and total emissions, kilograms of CO2e per barrel of oil equivalent, and an optional tax cost from energy and production inputs.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-energy-emissions-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-energy-emissions-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,305 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 $0.00087 $0.01305
Opus 5.5 $0.00035 $0.00522
Sonnet 5.5 $0.00017 $0.00261
Haiku 4.5 $0.00009 $0.00130

Measured 1mo ago against content hash fb99f7cd46b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-energy-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_energy_emissions.py, src/energy_emissions_screening/__init__.py, src/energy_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-energy-emissions-screening/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Energy & Emissions Screening

Use this skill for a quick, public roll-up of field-life energy use into emissions. Given a year-by-year energy use (MWh), a public emission factor, and an optional production profile, it returns annual and total CO2-equivalent emissions, a carbon intensity in kg CO2e per barrel of oil equivalent, and an optional CO2-tax cost. It complements the instantaneous combustion skill neqsim-co2-emissions-screening by aggregating over the field life and adding carbon intensity and cost.

When to Use

  • When a user wants total and per-year CO2e and a carbon intensity for a concept.
  • When an agent needs an emissions/cost feed for an asset-value chain.
  • When examples must run without certified emission factors or confidential data.

Inputs

  • annual_energy_use_mwh: sequence of annual energy use in MWh (one per year).
  • emission_factor_kg_co2e_per_mwh: public emission factor (default 450).
  • annual_production_boe: a flat value or a per-year sequence in boe (default 0).
  • co2_tax_usd_per_tonne: optional CO2 tax (default 0).

Outputs

  • annual_co2e_tonnes: per-year CO2-equivalent emissions in tonnes.
  • total_co2e_tonnes: total field-life CO2e in tonnes.
  • total_energy_use_mwh: total field-life energy use.
  • carbon_intensity_kg_per_boe: total CO2e (kg) divided by total production (boe), or None.
  • annual_emission_cost_musd / total_emission_cost_musd: CO2-tax cost in million USD.
  • intensity_warning: ok, watch, high, or no-production.
  • neqsim_available: whether the optional NeqSim package is importable.
  • assumptions: public assumptions and required follow-up.

Engineering Method

Annual CO2e is energy_use_MWh * emission_factor_kg/MWh / 1000 (kg to tonnes). Total CO2e and total energy are the year sums. Carbon intensity is total_CO2e_kg / total_production_boe (undefined when production is zero). The CO2-tax cost is annual_CO2e_tonnes * tax_USD/tonne / 1e6 (million USD). The verdict compares carbon intensity to a configurable threshold (default 17 kg CO2e/boe, a public global-average order of magnitude).

Read the full file on GitHub · 123 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 · 123 lines · 87 tokens per session scan A fb99f7cd46b8

Subscribe to this mod's changes

neqsim-energy-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 87 tokens to every session and 1,305 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.

Analytics and metricsScientific
Related

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