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-production-network-routinggit 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-production-network-routing)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-production-network-routing"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-production-network-routing/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-production-network-routing"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-production-network-routing.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 | $0.00088 | $0.02070 |
| Opus 5.5 | $0.00035 | $0.00828 |
| Sonnet 5.5 | $0.00018 | $0.00414 |
| Haiku 4.5 | $0.00009 | $0.00207 |
Grade A, and why
neqsim-production-network-routing 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 1mo 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Production Network Routing
Use this skill for a quick, public screening of a "reservoir-to-facility" production network: wells flowing through manifolds and flowlines/risers to a host. Given wells with a productivity index and a manifold/flowline layout, it estimates a screening rate per well, aggregates rates by manifold, and rolls up an arrival pressure at the host with a simple pressure-drop gradient. It is intentionally simple and should guide users toward validated NeqSim inflow and multiphase-hydraulics workflows.
When to Use
- When wells, a manifold layout, and a required arrival pressure are available and a first network roll-up is needed.
- When an agent needs to chain reservoir-vs-time screening to a platform arrival-pressure check.
- Before detailed IPR, tubing, and multiphase flowline modelling.
Inputs
wells: rows of{name, manifold, reservoir_pressure_bara, flowing_bottomhole_pressure_bara, productivity_index_sm3_per_day_bar, tubing_head_pressure_bara}.manifolds: rows of{name, flowline_length_km, pressure_gradient_bar_per_km, riser_dp_bar}(riser_dp_baroptional, default 0).host_name: name of the receiving host/platform (defaultHOST).required_arrival_pressure_bara: minimum required arrival pressure at the host.
Outputs
wells: per-welldrawdown_bar,rate_sm3_per_day, andflow_warning.manifolds: per-manifoldtotal_rate_sm3_per_day,manifold_pressure_bara,flowline_dp_bar,riser_dp_bar,arrival_pressure_bara,arrival_margin_bar, andarrival_warning.total_rate_sm3_per_day: aggregated network rate.min_arrival_pressure_bara: lowest manifold arrival pressure.overall_warning: worst of the well and manifold warnings.neqsim_available: whether the optional NeqSim package is importable.assumptions: public assumptions and required follow-up.
A separate regulate_flow_from_inlet_pressure entry point screens
pressure-regulated multiwell flow from a facility inlet/separator pressure and
the reservoir pressures (see "Pressure-Regulated Multiwell / Manifold Flow").
What ships with it
6 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.
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.
- 1mo ago Changed · -19 tokens per session 3cf5fcb6fcda
- 1mo ago First seen · 186 lines · 107 tokens per session scan A 6e1e2aec87ec
neqsim-production-network-routing is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 88 tokens to every session and 2,070 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.
neqsim-production-network-routing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-production-network-routingequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 88 | 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 |