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-fluid-quality-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-fluid-quality-check)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-fluid-quality-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-fluid-quality-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-fluid-quality-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-fluid-quality-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 | $0.00047 | $0.01033 |
| Opus 5.5 | $0.00019 | $0.00413 |
| Sonnet 5.5 | $0.00009 | $0.00207 |
| Haiku 4.5 | $0.00005 | $0.00103 |
Grade A, and why
neqsim-fluid-quality-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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fluid Quality Check
Use this skill to check whether a public fluid composition is well-formed before it is used in examples, notebooks, or NeqSim simulations.
When to Use
- When a task includes a gas, oil, condensate, or synthetic composition table.
- When mole fractions should sum close to 1.0 before simulation.
- When an agent should flag negative fractions, missing required components, water, CO2, or H2S.
- When composition validation must avoid confidential or proprietary data.
Inputs
composition: mapping of component name to mole fraction.required_components: optional sequence of components that must be present.tolerance: acceptable absolute deviation from a total mole fraction of 1.0.
Outputs
total_fraction: sum of all fractions.total_within_tolerance: whether the total is close to 1.0.negative_components: components with negative fractions.missing_components: required components absent from the composition.flagged_components: values for water, CO2, and H2S when present.warnings: human-readable quality messages.is_usable: true only when no blocking quality issue is found.
Engineering Method
The checker performs transparent public data-quality checks only. It does not estimate missing components, tune an equation of state, characterize plus fractions, regress binary interaction parameters, or validate laboratory procedures.
Python Usage Pattern
from fluid_quality_check import FluidQualityChecker
composition = {
"methane": 0.82,
"ethane": 0.08,
"propane": 0.04,
"CO2": 0.03,
"water": 0.03,
}
checker = FluidQualityChecker(required_components=("methane", "ethane", "propane"))
result = checker.check(composition)
print(result.is_usable)
print(result.warnings)
If the optional neqsim Python package is available, the result records that fact so an agent can proceed to NeqSim-specific setup checks. If not, the quality checks still run.
Validation Checklist
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 · 112 lines · 47 tokens per session scan A cfe6a40fb34b
neqsim-fluid-quality-check is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 1,033 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-fluid-quality-check compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-fluid-quality-checkequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 47 | 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 |