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 neqsim-ncs-area-process-modelgit 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/neqsim-ncs-area-process-model)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-ncs-area-process-model"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-ncs-area-process-model/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/neqsim-ncs-area-process-model"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-ncs-area-process-model.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 | $0.00097 | $0.02964 |
| Opus 5.5 | $0.00039 | $0.01186 |
| Sonnet 5.5 | $0.00019 | $0.00593 |
| Haiku 4.5 | $0.00010 | $0.00296 |
Grade A, and why
neqsim-ncs-area-process-model 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 9d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NCS Area Process Model (terminal-anchored value chain)
Turns a set of finished field or platform models into one coupled model of everything that delivers to a terminal. The result answers questions no single-field model can: how one field's rate changes another field's back-pressure through a shared line, what arrives at the terminal (rate, P, T, composition, liquid load), and which structure, line or terminal limit binds first.
It is a model-assembly method. The physics stays in the per-field models and in NeqSim pipe and
network classes. Connectivity and nameplate capacity come from neqsim-ncs-infrastructure-network;
shelf-wide optimisation stays in neqsim-ncs-value-chain-optimization.
When to Use
- "Make one model for everything that produces to Kollsnes (or Kaarstoe, Nyhamna, Mongstad, Sture)."
- Several platforms share an export line or a riser platform and the back-pressure interaction matters.
- A tie-in or rate change must be tested against the whole route, not one platform.
- Arrival conditions at a terminal are needed as one consistent set (rate, P, T, composition).
Do not use for a single field (use the process-model skills) or for a shelf-wide nomination
optimum (use neqsim-ncs-value-chain-optimization).
Inputs
- The terminal or plant and the product (gas, rich gas, oil, condensate).
- The finished per-field or per-platform models, with boundary stream, fluid basis, rate basis and status.
- Geometry of each export line and shared structure: length, ID, wall, roughness, elevation profile, U-value.
- Measured rate, pressure and temperature at both ends of every line and at the terminal, for at least two windows (calibration and hold-out).
- Operating routing evidence: valve states, historian flows, metered terminal flows.
Outputs
- Catchment table per product, with every override of the open topology and its source.
- The coupled
ProcessModel: field areas, line areas, junction areas, terminal area. - Rate, P, T and composition at every node; terminal arrival profile.
- Binding-constraint ranking (equipment constraints, line velocity, pressure, erosional limits).
- Verification table (mass balance, arrival conditions, line pressure drop, coupling response).
- List of boundaries that were imposed instead of computed, and the assumptions and data gaps.
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.
- 9d ago Changed · +1 lines 306049d890a6
- 17d ago Changed · +13 lines 422ee4780056
- 18d ago First seen · 204 lines · 97 tokens per session scan A b64ce63bccf0
neqsim-ncs-area-process-model is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 97 tokens to every session and 2,964 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 2026-10-19.
neqsim-ncs-area-process-model compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-ncs-area-process-modelequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 97 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 3d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |