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 compressor-power-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/compressor-power-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/compressor-power-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/compressor-power-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/compressor-power-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/compressor-power-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 | $0.00066 | $0.01619 |
| Opus 5 | $0.00033 | $0.00809 |
| Sonnet 5 | $0.00013 | $0.00324 |
| Haiku 4.5 | $0.00007 | $0.00162 |
Grade A, and why
neqsim-compressor-power-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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compressor Power Screening
Use this skill for public, educational centrifugal-compressor power screening. It estimates polytropic head, discharge temperature, and gas power for a single compression stage using the open polytropic-head equation so an agent can scope a compression study and check against a rated driver power before detailed selection.
When to Use
- When a user asks roughly how much power a compression stage needs.
- When an agent needs a quick polytropic-head and discharge-temperature estimate.
- When examples must run without confidential compressor curves, vendor data, or company specs.
Inputs
suction_pressure: stage suction pressureP1in bar absolute.discharge_pressure: stage discharge pressureP2in bar absolute.suction_temperature: stage suction temperatureT1in kelvin.mass_flow: gas mass flow in kg/s.molecular_weight: gas molecular weightMin g/mol.specific_heat_ratio: ratio of specific heatsk, default 1.3.compressibility: average compressibility factorZ, default 1.0.polytropic_efficiency: polytropic efficiency, default 0.78.rated_power: optional rated driver power in kW for the comparison.
Outputs
pressure_ratio:P2 / P1.polytropic_head_kj_kg: polytropic head.discharge_temperature_k: estimated discharge temperature.gas_power_kw: gas power on the shaft.power_margin_ratio: ratio of rated power to gas power, ornullif no rated power supplied.compressor_warning:ok,watch,over-rated, orno-rating.assumptions: public assumptions used by the placeholder model.
Engineering Method
The Python class CompressorPowerModel uses the open polytropic-head equation only:
- the polytropic exponent uses
(n - 1) / n = (k - 1) / (k * polytropic_efficiency). - the polytropic head uses
Hp = Z R T1 (n / (n - 1)) [(P2 / P1)^((n-1)/n) - 1], withR = 8.314 / M. - the discharge temperature uses
T2 = T1 (P2 / P1)^((n-1)/n). - the gas power uses
power = mass_flow * Hp / polytropic_efficiency.
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 · 137 lines · 66 tokens per session scan A f9f83dc635ae
neqsim-compressor-power-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 1,619 once invoked, about $0.0003 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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