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 utility-balance-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/utility-balance-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/utility-balance-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/utility-balance-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/utility-balance-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/utility-balance-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 | $0.00095 | $0.01530 |
| Opus 5 | $0.00048 | $0.00765 |
| Sonnet 5 | $0.00019 | $0.00306 |
| Haiku 4.5 | $0.00010 | $0.00153 |
Grade A, and why
neqsim-utility-balance-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 11d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Utility Balance Screening
Use this skill for public, educational utility-system screening. It estimates instrument air demand, cooling water flow from a duty and a cooling-water temperature rise, a fuel gas Wobbe index with a band check, and a simple capacity utilisation roll-up so an agent can scope a utility study before detailed design.
When to Use
- When a user asks how much instrument air a set of consumers needs or whether the air/cooling supply is large enough.
- When an agent needs a quick cooling-water flow estimate from a heat duty and a permitted temperature rise.
- When a fuel gas Wobbe index must be screened against a sales/fuel band without confidential gas data.
- When examples must run without proprietary utility loads, vendor data, or company specs.
Inputs
instrument_air_consumers: number of instrument air consumers (integer count).air_per_consumer_nm3_h: average free-air demand per consumer in Nm3/h, default 0.3.cooling_duty_kw: total cooling duty to reject in kW, default 0.cooling_water_delta_t_c: permitted cooling-water temperature rise in degrees C, default 10.fuel_gas_lhv_mj_sm3: optional fuel gas lower heating value in MJ/Sm3.fuel_gas_relative_density: optional fuel gas relative density (air = 1).wobbe_min: lower Wobbe index band in MJ/Sm3, default 47.2.wobbe_max: upper Wobbe index band in MJ/Sm3, default 51.41.instrument_air_capacity_nm3_h: optional installed instrument air capacity in Nm3/h.cooling_water_capacity_m3_h: optional installed cooling water capacity in m3/h.
Outputs
instrument_air_demand_nm3_h: consumer count multiplied by per-consumer demand and a design margin.cooling_water_flow_m3_h: cooling water flow from the duty and the temperature rise.wobbe_index_mj_sm3: fuel gas Wobbe index, ornullif no fuel gas data is supplied.wobbe_in_band:True/Falseif a Wobbe index is computed, otherwisenull.air_utilisation: demand divided by installed air capacity, ornull.cooling_utilisation: flow divided by installed cooling capacity, ornull.utility_warning:ok,watch,air-undersized, orcooling-undersized.wobbe_warning:ok,wobbe-out-of-range, orno-fuel-data.assumptions: public assumptions used by the placeholder model.
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.
- 11d ago First seen · 121 lines · 95 tokens per session scan A 7a30ac7e8f4f
neqsim-utility-balance-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 95 tokens to every session and 1,530 once invoked, about $0.0005 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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