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 skills add equinor/neqsim-community-skills --skill reservoir-model-buildergit clone --depth 1 https://github.com/equinor/neqsim-community-skillsWrote 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/skills/equinor/neqsim-community-skills/reservoir-model-builder)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/reservoir-model-builder"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/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.
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/reservoir-model-builder"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/reservoir-model-builder.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00405 | $0.08853 |
| Opus 5 | $0.00202 | $0.04426 |
| Sonnet 5 | $0.00081 | $0.01771 |
| Haiku 4.5 | $0.00040 | $0.00885 |
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 yesterday.
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 — 680 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:
- What did we actually know?
- What did the builder assume on our behalf, and from what basis?
- 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/WellFlowset-up or an MCPrunReservoirpayload is needed as the next step.
What ships with it
13 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.
- examples/build_wisting_style_model.py 4.5 KB runs code
- pyproject.toml 562 B
- README.md 1.2 KB
- src/reservoir_model_builder/__init__.py 2.2 KB runs code
- src/reservoir_model_builder/builder.py 47 KB runs code
- src/reservoir_model_builder/data_first.py 8.2 KB runs code
- src/reservoir_model_builder/parameters.py 8.2 KB runs code
- src/reservoir_model_builder/static_model.py 17 KB runs code
- src/reservoir_model_builder/structure.py 20 KB runs code
- tests/test_data_first.py 4.3 KB runs code
- tests/test_reservoir_model_builder.py 12 KB runs code
- tests/test_static_model.py 8.1 KB runs code
- tests/test_structure.py 6.5 KB runs code
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.
- yesterday Changed · +130 lines · +203 tokens per session 2d3ad64c407d
- 7d ago Changed · +167 lines · +54 tokens per session bdc10e796bfd
- 12d ago First seen · 383 lines · 148 tokens per session scan A 0be36398e07d
neqsim-reservoir-model-builder is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 405 tokens to every session and 8,853 once invoked, about $0.0020 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 2026-08-31.
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