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-psv-orifice-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-psv-orifice-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-psv-orifice-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-psv-orifice-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-psv-orifice-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-psv-orifice-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 | $0.00064 | $0.01215 |
| Opus 5.5 | $0.00026 | $0.00486 |
| Sonnet 5.5 | $0.00013 | $0.00243 |
| Haiku 4.5 | $0.00006 | $0.00121 |
Grade A, and why
neqsim-psv-orifice-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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PSV Orifice Screening
Use this skill for public, educational pressure-safety-valve (PSV) orifice screening. It estimates the required effective orifice area for critical gas flow using the open API 520 Part I equation and maps it to a standard API letter designation so an agent can scope a relief study before detailed sizing.
When to Use
- When a user asks roughly what PSV orifice letter a gas relief case needs.
- When an agent needs a quick relief-area triage before detailed API 520 sizing.
- When examples must run without confidential valve data, vendor capacity charts, or company relief specs.
Inputs
relief_rate: required relief mass flowWin kg/h.relieving_pressure: upstream relieving pressureP1in bar absolute.temperature: relieving temperatureTin kelvin.compressibility: gas compressibility factorZ, default 1.0.molecular_weight: gas molecular weightMin g/mol.specific_heat_ratio: ratio of specific heatsk, default 1.3.discharge_coefficient: effective discharge coefficientKd, default 0.975.back_pressure_correction: back-pressure correctionKb, default 1.0.combination_correction: rupture-disk combination correctionKc, default 1.0.
Outputs
coefficient_c: theCcoefficient fromk.required_area_mm2: required effective orifice area.selected_orifice: the smallest standard API orifice that meets the area, ornone.selected_orifice_area_mm2: the area of the selected orifice.area_margin_ratio: ratio of selected area to required area.psv_warning:ok,watch, oroversize-needed.assumptions: public assumptions used by the placeholder model.
Engineering Method
The Python class PsvOrificeModel uses the open API 520 Part I critical gas-flow equation only:
- the coefficient uses
C = 0.03948 * sqrt(k (2 / (k + 1))^((k + 1) / (k - 1)))in SI-consistent screening form. - the required area uses
A = (W / (C Kd P1 Kb Kc)) * sqrt(T Z / M). - the area is mapped to the standard API 526 orifice letters (D through T) using their published effective areas.
- the warning is a simple rule-based label aligned with API 520 intent.
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 · 110 lines · 64 tokens per session scan A 1abdbe076eb4
neqsim-psv-orifice-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 1,215 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-psv-orifice-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-psv-orifice-screeningequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 64 | 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 |