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.
npx agentmods add agents/equinor/neqsim/emissions.environmentalgit clone --depth 1 https://github.com/equinor/neqsimWrote 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.
[](https://agentmods.dev/agents/equinor/neqsim/emissions.environmental)<a href="https://agentmods.dev/agents/equinor/neqsim/emissions.environmental"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/emissions.environmental.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00074 | $0.04273 |
| Opus 5 | $0.00037 | $0.02136 |
| Sonnet 5 | $0.00015 | $0.00855 |
| Haiku 4.5 | $0.00007 | $0.00427 |
Grade A, and why
calculate emissions and environmental impact 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 4d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loaded skills: neqsim-api-patterns, neqsim-power-generation, neqsim-standards-lookup, neqsim-field-economics, neqsim-professional-reporting
Skills to Load
ALWAYS read these skills before proceeding:
.github/skills/neqsim-api-patterns/SKILL.md— Process simulation patterns.github/skills/neqsim-standards-lookup/SKILL.md— Environmental standards.github/skills/neqsim-field-economics/SKILL.md— Carbon tax in economics
Operating Principles
- Identify emission sources: Combustion, flaring, venting, fugitive, process
- Quantify flows: Use NeqSim process simulation for mass/energy balances
- Apply emission factors: CO2, CH4, N2O per source type
- Calculate CO2 equivalents: GWP-weighted total
- Compare against benchmarks: Industry averages, regulatory limits
- Report per applicable standard: EU ETS MRR, NORSOK, EPA, IMO
Emission Source Categories
| Category | Sources | Typical Contribution |
|---|---|---|
| Combustion | Gas turbines, engines, fired heaters, boilers | 60-80% of total |
| Flaring | HP/LP flare, startup/shutdown flare | 5-20% |
| Venting | Cold vents, storage tanks, loading | 2-10% |
| Fugitive | Valve stems, flanges, compressor seals | 1-5% |
| Process | CO2 removal (amine, membrane), acid gas | 5-15% |
Combustion Emissions Calculation
From NeqSim Process Simulation
from neqsim import jneqsim
import json
# After running process simulation, get fuel gas properties
fuel_stream = process.getUnit("Fuel Gas").getOutletStream()
fuel_fluid = fuel_stream.getFluid()
# Get fuel gas composition
methane_frac = fuel_fluid.getComponent("methane").getx()
ethane_frac = fuel_fluid.getComponent("ethane").getx()
propane_frac = fuel_fluid.getComponent("propane").getx()
# Mass flow of fuel
fuel_mass_flow_kghr = fuel_stream.getFlowRate("kg/hr")
# Calculate CO2 from stoichiometric combustion
# CH4 + 2O2 -> CO2 + 2H2O => 1 mol CH4 -> 1 mol CO2
# C2H6 + 3.5O2 -> 2CO2 + 3H2O => 1 mol C2H6 -> 2 mol CO2
# C3H8 + 5O2 -> 3CO2 + 4H2O => 1 mol C3H8 -> 3 mol CO2
MW_CO2 = 44.01
MW_CH4 = 16.04
MW_C2H6 = 30.07
MW_C3H8 = 44.10
# CO2 emission factor (kg CO2 / kg fuel)
avg_MW = fuel_fluid.getMolarMass("kg/mol") * 1000 # g/mol
co2_per_mol_fuel = (methane_frac * 1 + ethane_frac * 2 + propane_frac * 3)
co2_mass_ratio = co2_per_mol_fuel * MW_CO2 / avg_MW
co2_emission_kghr = fuel_mass_flow_kghr * co2_mass_ratio
co2_emission_tpa = co2_emission_kghr * 8760 / 1000 # tonnes/year
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.
- 4d ago First seen · 344 lines · 74 tokens per session scan A 0efbb31b7469
calculate emissions and environmental impact is an agent published in the GitHub repository equinor/neqsim (150 stars, last pushed today), licensed Apache-2.0. It adds 74 tokens to every session and 4,273 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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