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-compressor-operating-window-checkgit 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-compressor-operating-window-check)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-compressor-operating-window-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-compressor-operating-window-check/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-compressor-operating-window-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-compressor-operating-window-check.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 | $0.00052 | $0.01129 |
| Opus 5.5 | $0.00021 | $0.00452 |
| Sonnet 5.5 | $0.00010 | $0.00226 |
| Haiku 4.5 | $0.00005 | $0.00113 |
Grade A, and why
neqsim-compressor-operating-window-check 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compressor Operating Window Check
Use this skill for public, educational compressor operating window screening. It compares an operating flow against surge and stonewall limits to flag whether a centrifugal compressor operates inside a safe operating window before moving to validated performance and anti-surge review.
When to Use
- When a user asks whether a compressor operating point is too close to surge or stonewall.
- When an agent needs a quick operating-window triage to scope a compressor or debottlenecking study.
- When examples must run without confidential performance maps, vendor curves, or anti-surge control settings.
Inputs
operating_flow: actual or required volumetric flow at the operating point in m3/h.surge_flow: surge-limit flow at the same speed and conditions in m3/h.stonewall_flow: stonewall or choke-limit flow at the same speed and conditions in m3/h.min_surge_margin: minimum acceptable surge margin fraction, default 0.10.min_stonewall_margin: minimum acceptable stonewall margin fraction, default 0.05.
Outputs
surge_margin_fraction: fractional distance from the operating point to the surge limit.stonewall_margin_fraction: fractional distance from the operating point to the stonewall limit.limiting_margin_fraction: the smaller of the two margins, where lower means closer to a limit.operating_window_warning:ok,watch, orhigh.assumptions: public assumptions used by the placeholder model.
Engineering Method
The Python class CompressorOperatingWindowModel uses open, published concepts only:
- the surge margin is
(operating_flow - surge_flow) / surge_flow. - the stonewall margin is
(stonewall_flow - operating_flow) / stonewall_flow. - the limiting margin is the smaller of the two and drives rule-based warnings.
- an operating point at or beyond either limit is flagged
high; a margin below the minimum is flaggedwatch.
This is educational and screening-only logic. It is not a compressor performance standard, an anti-surge design method, a vendor method, or a replacement for validated performance review aligned with API 617 and a qualified process engineering review.
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.
- 1mo ago First seen · 107 lines · 52 tokens per session scan A 7517311da85a
neqsim-compressor-operating-window-check is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 1,129 once invoked, about $0.0002 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-compressor-operating-window-check compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-compressor-operating-window-checkequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 52 | 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 |