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-multiphase-flow-slug-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-multiphase-flow-slug-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-multiphase-flow-slug-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-multiphase-flow-slug-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-multiphase-flow-slug-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-multiphase-flow-slug-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 | $0.00069 | $0.01478 |
| Opus 5.5 | $0.00028 | $0.00591 |
| Sonnet 5.5 | $0.00014 | $0.00296 |
| Haiku 4.5 | $0.00007 | $0.00148 |
Grade A, and why
neqsim-multiphase-flow-slug-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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multiphase Flow Slug Screening
Use this skill for public, educational multiphase slug-flow screening. It gives a coarse flow-regime indicator from superficial gas and liquid velocities and a first-pass slug-catcher volume estimate from slug geometry, so an agent can flag slug risk before moving to validated multiphase flow analysis.
When to Use
- When a user asks whether a multiphase line is likely to be in a slug regime.
- When an agent needs a quick slug-catcher volume order-of-magnitude to scope a flow-assurance study.
- When examples must run without confidential pipeline geometry, project flow-assurance reports, or company multiphase guidelines.
Inputs
superficial_gas_velocity: superficial gas velocity in m/s.superficial_liquid_velocity: superficial liquid velocity in m/s.pipe_internal_diameter: pipe inside diameter in m.slug_length_to_diameter: slug length expressed as a multiple of the diameter, default 30.0.liquid_holdup_in_slug: liquid holdup in the slug body, dimensionless in (0, 1], default 0.8.surge_factor: surge/safety factor on slug-catcher volume, default 1.2.available_slug_catcher_volume: optional available slug-catcher volume in m3 for a capacity check.
Outputs
mixture_velocity_m_per_s: sum of the superficial gas and liquid velocities.froude_number: mixture Froude number using the pipe inside diameter.liquid_fraction: liquid superficial velocity divided by the mixture velocity.flow_regime_indicator: coarse public regime label (gas-dominated, slug, liquid-dominated, transition).estimated_slug_volume_m3: screening slug volume from slug geometry and holdup.recommended_slug_catcher_volume_m3: slug volume scaled by the surge factor.capacity_ratio: recommended over available slug-catcher volume when an available volume is given.slug_warning:ok,watch, orhigh.assumptions: public assumptions used by the placeholder model.
Engineering Method
The Python class SlugScreeningModel uses open, published concepts only:
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 · 118 lines · 69 tokens per session scan A 519d8264b3f7
neqsim-multiphase-flow-slug-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 69 tokens to every session and 1,478 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-multiphase-flow-slug-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-multiphase-flow-slug-screeningequinor/neqsim-community-skills | Skill | 4 | 4d ago | Apache-2.0 | A | 69 | 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 |