neqsim-reservoir-model-builder

neqsim-reservoir-model-builder is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 110 tokens per session (10,100 once invoked), scanned A, original, Apache-2.0.

A screening-level reservoir model builder that turns available information into a runnable model and improves it as more data arrives. A reservoir model represents the underground rock, fluids, pressures, and volumes that control production.

In plain words
What is it for?
It helps assemble geometry, rock properties, fluids, contacts, volumes, pressure, temperature, recovery, and drive-mechanism assumptions, while recording where each value came from.
Why use it?
It lets work begin with anything from one public volume to a fuller set of reservoir measurements while showing which values are known, assumed, or missing. This reduces the risk of hiding assumptions in an early model.

Skill for Claude CodeCodex

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

Good fit It helps assemble geometry, rock properties, fluids, contacts, volumes, pressure, temperature, recovery, and drive-mechanism assumptions, while recording where each value came from.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-reservoir-model-builder
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-reservoir-model-builder
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-reservoir-model-builder

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-reservoir-model-builder"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reservoir-model-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,100 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 $0.00110 $0.10100
Opus 5.5 $0.00044 $0.04040
Sonnet 5.5 $0.00022 $0.02020
Haiku 4.5 $0.00011 $0.01010

Measured 11d ago against content hash b4655384bdea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-reservoir-model-builder 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 11d ago.

The scan reads SKILL.md. This mod also ships 11 executable files (examples/build_wisting_style_model.py, src/reservoir_model_builder/__init__.py, src/reservoir_model_builder/builder.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/field-development/neqsim-reservoir-model-builder/SKILL.md · 780 lines

How it starts

The opening of the file, as written. The whole thing — 780 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reservoir Model Builder

Use this skill to turn whatever reservoir data is available — from a single public headline volume to a full static-model parameter set — into a coherent, runnable screening reservoir model, and to refine that model as better data arrives without losing track of what came from where.

The central idea is a data-maturity ladder. Every number in the model carries a provenance label, so the model can always answer three questions:

  1. What did we actually know?
  2. What did the builder assume on our behalf, and from what basis?
  3. Which missing measurement would most reduce the uncertainty?

When to Use

  • A reservoir model is needed for a field where only open data exists (public resource pages, an approved development plan summary, a discovery announcement).
  • Volumetrics must be built from area, net pay, porosity and water saturation, or an in-place volume must be back-calculated from a reported recoverable volume.
  • Reservoir pressure and temperature are unknown and must be defaulted from depth using a hydrostatic gradient and a geothermal gradient.
  • A recovery factor and a drive mechanism must be inferred from fluid type, aquifer strength and injection plan.
  • A well count and a productivity index must be estimated from permeability and net pay before any well test exists.
  • An existing screening model must be refined with new logs, a well test or a PVT report, with an auditable record of what changed.
  • There is no subsurface data at all and a model still has to be built: no seismic, no logs, no contacts, only a published resource number and a development description. See "Building a model when there is no subsurface data at all" below — assume the play-typical structure, solve the contact and the compartment split against the published numbers, place the wells on the structure, and publish the assumption register.
  • A NeqSim SimpleReservoir / WellFlow set-up or an MCP runReservoir payload is needed as the next step.

Read the full file on GitHub · 780 lines

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. 11d ago Changed · +52 lines b4655384bdea
  2. 19d ago Changed ab20c192e127
  3. 22d ago Changed · +20 lines ea3b69d43807
  4. 27d ago Changed · +28 lines ca0464a07840
  5. 1mo ago Changed · -130 tokens per session f0dba5467453
  6. 1mo ago First seen · 680 lines · 240 tokens per session scan A 35316e87e23f

Subscribe to this mod's changes

neqsim-reservoir-model-builder is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 110 tokens to every session and 10,100 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.

Related

neqsim-reservoir-model-builder compared with skills from other repositories

neqsim-reservoir-model-builder next to 6 skills from other repositories
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