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 capex-opex-screeninggit 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/capex-opex-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/capex-opex-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/capex-opex-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.
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/capex-opex-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/capex-opex-screening.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 | $0.00087 | $0.01384 |
| Opus 5 | $0.00044 | $0.00692 |
| Sonnet 5 | $0.00017 | $0.00277 |
| Haiku 4.5 | $0.00009 | $0.00138 |
Grade A, and why
neqsim-capex-opex-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 12d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CAPEX/OPEX Screening
Use this skill for a quick, public screening of project cost. Given a bare
equipment cost, it applies a public installation (Lang/Hand-style) factor and a
contingency allowance to estimate a total installed CAPEX, then adds a simple
OPEX (a fraction of CAPEX per year plus an annual energy cost) to produce a
lifecycle total cost of ownership. It is intentionally simple and should guide
users toward the validated NeqSim CostEstimationCalculator (Turton / Peters /
Ulrich / Seider correlations with CEPCI escalation) and the NeqSim MCP
runFieldEconomics workflow for real estimates.
When to Use
- When a user wants a first-pass CAPEX and OPEX magnitude for a concept.
- When an agent needs a cost feed for an asset-value / NPV screening chain.
- When examples must run without confidential cost data or licensed estimating tools.
Inputs
bare_equipment_cost_musd: total bare (uninstalled) equipment cost in million USD.installation_factor: Lang/Hand-style multiplier from bare to installed cost (default 3.5).contingency_fraction: contingency added on top of installed cost (default 0.2).opex_fraction_of_capex_per_year: annual OPEX as a fraction of total CAPEX (default 0.04).annual_energy_use_mwh: optional annual energy use for the energy-cost term (default 0).energy_price_usd_per_mwh: optional energy price (default 0).project_life_years: number of years used for the lifecycle OPEX roll-up (default 20).
Outputs
installed_capex_musd: bare cost * installation factor.total_capex_musd: installed CAPEX including contingency.annual_opex_musd: OPEX-fraction term per year.annual_energy_cost_musd: energy-cost term per year.total_annual_opex_musd: sum of the two OPEX terms.lifecycle_opex_musd: total annual OPEX times project life.total_cost_of_ownership_musd: total CAPEX plus lifecycle OPEX.capex_warning:ok,watch, orhigh(magnitude flag vs a configurable threshold).neqsim_available: whether the optional NeqSim package is importable.assumptions: public assumptions and required follow-up.
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.
- 12d ago First seen · 132 lines · 87 tokens per session scan A b576e6b06921
neqsim-capex-opex-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 87 tokens to every session and 1,384 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 2026-08-31.
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