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 neqsim-gas-turbine-performance-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/neqsim-gas-turbine-performance-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-gas-turbine-performance-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-gas-turbine-performance-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/neqsim-gas-turbine-performance-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-gas-turbine-performance-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 | $0.00081 | $0.01500 |
| Opus 5.5 | $0.00032 | $0.00600 |
| Sonnet 5.5 | $0.00016 | $0.00300 |
| Haiku 4.5 | $0.00008 | $0.00150 |
Grade A, and why
neqsim-gas-turbine-performance-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.
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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gas Turbine Performance Screening
Use this skill for public, educational gas-turbine performance screening. It corrects an ISO base rating for ambient temperature, site elevation, and inlet/exhaust pressure losses to estimate site-rated shaft power, site heat rate, thermal efficiency, fuel heat input, exhaust mass flow, and exhaust temperature so an agent can scope a driver-selection study before detailed package review.
When to Use
- When a user asks how much power a gas-turbine driver makes at site conditions versus its ISO rating.
- When an agent needs a quick site heat rate, fuel heat input, or exhaust mass flow estimate for waste-heat or HRSG scoping.
- When examples must run without confidential vendor performance maps or company package specs.
Inputs
iso_base_power_kw: ISO base-load shaft power rating in kW.iso_heat_rate_kj_kwh: ISO base-load heat rate in kJ/kWh.ambient_temperature_k: site ambient temperature in kelvin, default 288.15 (ISO reference).site_elevation_m: site elevation above sea level in m, default 0.relative_humidity: site relative humidity fraction, default 0.6 (small effect).inlet_pressure_loss_mbar: inlet system pressure loss in mbar, default 10.exhaust_pressure_loss_mbar: exhaust system pressure loss in mbar, default 10.required_shaft_power_kw: optional driven-equipment shaft power in kW for the margin check.
Outputs
site_power_kw: derated site shaft power.ambient_derate_factor: ambient-temperature power factor.altitude_derate_factor: site-elevation power factor.pressure_loss_derate_factor: combined inlet/exhaust pressure-loss power factor.total_derate_factor: product of all derate factors.site_heat_rate_kj_kwh: site heat rate after efficiency degradation.thermal_efficiency: shaft thermal efficiency from the site heat rate.fuel_heat_input_kw: fuel lower-heating-value heat input.exhaust_mass_flow_kg_s: screening exhaust mass flow.exhaust_temperature_k: screening exhaust temperature.power_margin_ratio: site power divided by required shaft power, ornull.power_warning:ok,watch,insufficient-power, orno-rating.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.
- examples/basic_gas_turbine_performance_screening.py 1.4 KB runs code
- pyproject.toml 564 B
- README.md 1.1 KB
- src/gas_turbine_performance_screening/__init__.py 148 B runs code
- src/gas_turbine_performance_screening/model.py 8.0 KB runs code
- tests/test_gas_turbine_performance_screening.py 2.1 KB runs code
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.
- 1mo ago Changed · +5 lines 38ad19bd873e
- 1mo ago First seen · 121 lines · 81 tokens per session scan A 4fcdc4a7325c
neqsim-gas-turbine-performance-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 81 tokens to every session and 1,500 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.
neqsim-gas-turbine-performance-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-gas-turbine-performance-screeningequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 81 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 3d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |