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neqsim-economy-basis-screening

neqsim-economy-basis-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 70 tokens per session (1,146 once invoked), scanned A, original, Apache-2.0.

A tool for assembling and checking the economic assumptions used in an asset-value calculation. It covers oil and gas prices, discount rate, currency, inflation, whether values are in real terms, and tax regime.

In plain words
What is it for?
It helps normalize an economic input set, check discount rates and tax regimes against indicative ranges, and flag consistency issues.
Why use it?
It catches inconsistent or implausible assumptions before they affect NPV or other financial results. It also provides a documented basis for later economic modelling.

Skill for Claude CodeCodex

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

not rated 4repo 4d ago A scan 70 tokens original Apache-2.0

Good fit It helps normalize an economic input set, check discount rates and tax regimes against indicative ranges, and flag consistency issues.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-economy-basis-screening
View source ↗ equinor/neqsim-community-skills equinor.github.io
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 neqsim-economy-basis-screening
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-economy-basis-screening

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-economy-basis-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-economy-basis-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,146 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 $0.00070 $0.01146
Opus 5.5 $0.00028 $0.00458
Sonnet 5.5 $0.00014 $0.00229
Haiku 4.5 $0.00007 $0.00115

Measured 1mo ago against content hash ab36c9e8974b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-economy-basis-screening 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.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_economy_basis.py, src/economy_basis_screening/__init__.py, src/economy_basis_screening/model.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/neqsim-economy-basis-screening/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Economy Basis Screening

Use this skill to assemble and sanity-check the economic assumptions that feed a downstream asset-value (NPV) screening: gas and oil prices, discount rate, currency, inflation, and tax regime. It echoes a normalized basis, range-checks the discount rate against an indicative public band, checks the tax regime against a small public name set, and raises consistency flags. It is intentionally simple and should guide users toward the validated NeqSim field-economics workflow and the NeqSim MCP runFieldEconomics tool.

When to Use

  • When a user needs a clean, documented economic-assumptions basis before NPV work.
  • When an early concept needs a discount-rate and tax-regime sanity check.
  • When an agent needs an upstream "economy basis" feed for an asset-value screening chain.

Inputs

  • gas_price_per_sm3: gas price in the chosen currency per Sm3.
  • oil_price_per_bbl: oil price in the chosen currency per barrel.
  • discount_rate: real or nominal discount rate (fraction, 0-1).
  • currency: currency code (default USD).
  • inflation_rate: inflation rate (fraction, default 0).
  • real_terms: whether the basis is in real terms (default True).
  • tax_regime: tax-regime label (generic, norwegian-ncs, uk, us, none).

Outputs

  • currency, gas_price_per_sm3, oil_price_per_bbl, discount_rate, real_terms, inflation_rate, tax_regime.
  • discount_rate_flag: ok, low, or high vs the indicative band.
  • tax_regime_recognized: whether the regime is in the public name set.
  • basis_warning: ok or watch.
  • flags: human-readable consistency warnings.
  • neqsim_available: whether the optional NeqSim package is importable.
  • assumptions: public assumptions and required follow-up.

Engineering Method

The skill normalizes the supplied assumptions and applies transparent checks: the discount rate is compared against an indicative public band (default 6%-12%); the tax regime is checked against a small public name set; and consistency flags are raised for zero-revenue, or nominal terms with zero inflation. The verdict is watch when any flag is raised, otherwise ok.

Read the full file on GitHub · 123 lines

Files

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.

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. 1mo ago First seen · 123 lines · 70 tokens per session scan A ab36c9e8974b

Subscribe to this mod's changes

neqsim-economy-basis-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 70 tokens to every session and 1,146 once invoked, about $0.0003 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.

Finance and fintech
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