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 subsea-layout-geometrygit 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/subsea-layout-geometry)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/subsea-layout-geometry"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/subsea-layout-geometry/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/subsea-layout-geometry"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/subsea-layout-geometry.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 | $0.00073 | $0.02063 |
| Opus 5 | $0.00036 | $0.01032 |
| Sonnet 5 | $0.00015 | $0.00413 |
| Haiku 4.5 | $0.00007 | $0.00206 |
Grade A, and why
neqsim-subsea-layout-geometry 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subsea Layout Geometry
Use this skill for a quick, public geometry screening of a subsea field layout. Given the coordinates and water depths of wells, manifolds, and a host, it computes horizontal step-out distances, straight-line tie-back lengths (including water-depth difference), and a node-to-node distance matrix. It is intentionally simple and should guide users toward validated NeqSim routing and hydraulic workflows.
When to Use
- When a user supplies a subsea map or layout (well, manifold, and host coordinates) and wants early tie-back distances.
- When an engineer needs a node-to-node distance matrix for initial routing or step-out screening.
- When an agent should explain that validated NeqSim hydraulic and routing methods are required for design-grade work.
Inputs
nodes: a list of layout nodes, each withname,x,y, optionalwater_depth_m, and optionalkind(well,manifold,host,riser_base).host_name: the node treated as the reference host for step-out distances.coordinate_system:cartesian(x, y in metres) orgeographic(x = longitude, y = latitude in degrees).max_step_out_km: configurable public step-out guideline (constructor, default 50 km).
Outputs
step_out_km: horizontal distance from the host to each other node in km.straight_line_km: straight-line distance from the host including the water-depth difference, in km.pairwise_distances: node-to-node horizontal and straight-line distances and depth differences.max_step_out_km: the largest host step-out distance.step_out_warning:ok,watch, orhighagainst the public guideline.neqsim_available: whether the optional NeqSim package is importable.assumptions: public assumptions and required follow-up.
Engineering Method
Horizontal distance between two nodes is the planar Euclidean distance for cartesian coordinates, or the great-circle (haversine) distance on a spherical Earth (radius 6 371 km) for geographic coordinates. The straight-line tie-back length is sqrt(horizontal^2 + depth_difference^2) using the water-depth difference between the two nodes.
What ships with it
9 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/basic_subsea_layout_geometry.py 1.1 KB runs code
- examples/subsea_field_layout_map.py 1.7 KB runs code
- pyproject.toml 641 B
- README.md 1.5 KB
- src/subsea_layout_geometry/__init__.py 271 B runs code
- src/subsea_layout_geometry/model.py 7.2 KB runs code
- src/subsea_layout_geometry/plot.py 9.6 KB runs code
- tests/test_subsea_layout_model.py 3.3 KB runs code
- tests/test_subsea_layout_plot.py 2.1 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.
- 9d ago First seen · 142 lines · 73 tokens per session scan A 7618d449550a
neqsim-subsea-layout-geometry is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 73 tokens to every session and 2,063 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 2026-09-03.
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