neqsim-norwegian-continental-shelf-data

neqsim-norwegian-continental-shelf-data is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 115 tokens per session (4,192 once invoked), scanned A, original, Apache-2.0.

An offline reference database and screening tool for the Norwegian Continental Shelf, the offshore oil and gas area administered by Norway. It contains source-attributed public facts about production, resources, fields, carbon costs, and decline forecasts.

In plain words
What is it for?
Use it to inspect Norwegian offshore production and resource facts, load official yearly production data, and run screening-level field or carbon-cost analysis. It does not replace reservoir simulation for detailed forecasts.
Why use it?
It provides reusable public data without confidential information or a live data connection. This supports early analysis while making the data sources clear.

Skill for Claude CodeCodex

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

Good fit Use it to inspect Norwegian offshore production and resource facts, load official yearly production data, and run screening-level field or carbon-cost analysis. It does not replace reservoir simulation for detailed forecasts.

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Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/norwegian-continental-shelf-data
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 norwegian-continental-shelf-data
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-norwegian-continental-shelf-data

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/norwegian-continental-shelf-data"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/norwegian-continental-shelf-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,192 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 $0.00115 $0.04192
Opus 5 $0.00057 $0.02096
Sonnet 5 $0.00023 $0.00838
Haiku 4.5 $0.00012 $0.00419

Measured 12d ago against content hash f7defce7129e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

neqsim-norwegian-continental-shelf-data 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 12d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (examples/basic_ncs_data.py, src/norwegian_continental_shelf_data/__init__.py, src/norwegian_continental_shelf_data/analysis.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/norwegian-continental-shelf-data/SKILL.md · 304 lines

How it starts

The opening of the file, as written. The whole thing — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Norwegian Continental Shelf Reference Data

Use this skill to load a bundled, source-attributed snapshot of public Norwegian Continental Shelf (NCS) facts and run screening-level analysis of production, resources, and the field inventory. The data is sourced from norskpetroleum.no (Norwegian Petroleum, run by the Norwegian Ministry of Energy and the Norwegian Offshore Directorate) and the Norwegian Offshore Directorate (Sodir, formerly NPD) FactPages, which publish open, reusable-with-attribution data about NCS activity.

The skill ships a curated public seed (headline national KPIs, a resource accounting split, sea areas, and a qualitative inventory of major fields) plus a tolerant ingestion path for the official Sodir yearly saleable-production CSV exports, so a full production time series and per-field figures can be refreshed without changing any code. All content is public; no proprietary or confidential data is included. It is a data and screening-analysis skill, not a reservoir simulator — quantitative production forecasting must use the validated NeqSim SimpleReservoir / runReservoir workflows.

When to Use

  • When a task needs quick, offline, source-attributed NCS facts (production, resources, exports, field counts) to frame an analysis.
  • When building a production, resource-accounting, or field-inventory study of the Norwegian shelf and you want a normalized schema plus an ingestion path for the official Sodir/norskpetroleum.no tables.
  • When an agent needs an upstream "NCS context" feed before a validated NeqSim reservoir-depletion, production-routing, or asset-economics screening.
  • When a task needs the public Norwegian carbon-cost basis (CO2 Tax Act rates, EU ETS allowance cost, NOx Fund contribution) or a first-pass economic screening of an emission-abatement measure (power-from-shore, waste-heat recovery, compressor upgrade, flaring reduction) before a validated NeqSim energy/combustion model and a qualified commercial review.
  • When a task needs a screening production forecast: fit an Arps decline (exponential/hyperbolic/harmonic) to a produced-rate series and project a forward rate profile, remaining volume, and EUR to an economic-limit rate, before a validated NeqSim reservoir forecast.

Read the full file on GitHub · 304 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. 12d ago First seen · 304 lines · 115 tokens per session scan A f7defce7129e

Subscribe to this mod's changes

neqsim-norwegian-continental-shelf-data is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 115 tokens to every session and 4,192 once invoked, about $0.0006 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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