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-line-velocity-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-line-velocity-check)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-line-velocity-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-line-velocity-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-line-velocity-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-line-velocity-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 | $0.00051 | $0.01147 |
| Opus 5.5 | $0.00020 | $0.00459 |
| Sonnet 5.5 | $0.00010 | $0.00229 |
| Haiku 4.5 | $0.00005 | $0.00115 |
Grade A, and why
neqsim-line-velocity-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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Line Velocity Check
Use this skill for public, educational process line velocity screening. It compares an operating fluid velocity against a public erosional velocity correlation and a recommended velocity guideline so an agent can flag lines that may exceed standard operating limits before moving to validated line sizing.
When to Use
- When a user asks whether a line or pipe operates within velocity guidelines.
- When an agent needs a quick erosional-velocity triage to scope a piping or debottlenecking study.
- When examples must run without confidential piping classes, project line lists, or company piping specs.
Inputs
fluid_velocity: actual flowing velocity in the line in m/s.mixture_density: flowing mixture density in kg/m3.c_factor: dimensionless erosional velocity constant in SI form, default 122.0 (continuous service).max_velocity_guideline: recommended maximum velocity in m/s, default 20.0.
Outputs
erosional_velocity_m_per_s: screening erosional velocity from a public API RP 14E style correlation.velocity_ratio: ratio of fluid velocity to erosional velocity.guideline_ratio: ratio of fluid velocity to the recommended velocity guideline.operating_indicator: the larger of the two ratios, where higher means closer to a limit.velocity_warning:ok,watch, orhigh.assumptions: public assumptions used by the placeholder model.
Engineering Method
The Python class LineVelocityModel uses open, published correlations only:
- erosional velocity uses a public API RP 14E metric form
Ve = C / sqrt(rho)with the SI constant default of 122 corresponding to a continuous-service C of 100. - the velocity ratio compares the operating velocity to this erosional velocity.
- the guideline ratio compares the operating velocity to a configurable recommended velocity guideline aligned with NORSOK P-001 style upper velocity limits.
- the operating indicator is the more limiting of the two ratios and drives rule-based warnings.
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 · 108 lines · 51 tokens per session scan A fb0174105c75
neqsim-line-velocity-check is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 1,147 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-line-velocity-check compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-line-velocity-checkequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 51 | 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 |