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 produced-water-scale-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/produced-water-scale-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/produced-water-scale-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/produced-water-scale-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/produced-water-scale-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/produced-water-scale-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 | $0.00092 | $0.02170 |
| Opus 5 | $0.00046 | $0.01085 |
| Sonnet 5 | $0.00018 | $0.00434 |
| Haiku 4.5 | $0.00009 | $0.00217 |
Grade A, and why
neqsim-produced-water-scale-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 12d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Produced Water Scale Screening
Use this skill to build a normalized produced-water (brine) description from an
ion analysis, a built-in preset, or a single total-dissolved-solids value; check
its charge balance; and emit a NeqSim-ready ion mapping for
neqsim.thermo.util.ProducedWaterFluidBuilder. It also computes
screening-level scale saturation indices, a two-water mixing-incompatibility
sweep, and informational CO2/H2S corrosion flags. It is intentionally simple and
should guide users toward validated NeqSim electrolyte-CPA scale calculations for
real work.
When to Use
- When a user wants to convert a water analysis into a NeqSim electrolyte fluid input.
- When a user asks which oilfield scales (barite, celestite, gypsum/anhydrite, calcite) a water tends to form.
- When screening seawater-injection or commingling incompatibility (formation-water Ba/Sr meeting injected SO4).
- When an agent should explain that validated NeqSim methods are required for design-grade scale and inhibitor work.
Inputs
ions_mg_l: explicit ion concentrations in mg/L (e.g.Na+,Cl-,Ca++,Mg++,Ba++,Sr++,SO4--,HCO3-).preset: one ofseawater,formation_water_high_ba,brackish.tds_mg_l: total dissolved solids in mg/L (modelled as pure NaCl).temperature_c: temperature in C (default 25.0).pressure_bara: pressure in bara (default 1.0).ph: optional in-situ pH (required for calcite screening).- For corrosion flags:
co2_mol_percent,h2s_mol_percentof the associated gas.
Exactly one of ions_mg_l, preset, or tds_mg_l must be supplied to build.
Outputs
tds_mg_l: sum of ion concentrations in mg/L.molality: ion molality in mol/kg.ionic_strength_mol_kg: brine ionic strength in mol/kg.charge_balance_error_pct: cation-anion imbalance as a percentage.neqsim_components: mole-fraction mapping ofwater+ ions for the NeqSim builder.neqsim_available: whether the optional NeqSim package is importable.ScaleResult.saturation_index:log10(IAP/Ksp)per mineral;>0means supersaturation.ScaleResult.risk/MixIncompatibility.risk:low,moderate,high, orunknown.MixIncompatibility.worst_fraction_a/worst_saturation_index: worst blend point.corrosion_flags: human-readable CO2/H2S screening flags.warnings: non-fatal screening warnings (charge balance, ionic-strength validity, unsupported ions).
What ships with it
9 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.
- examples/scale_screening_demo.py 2.5 KB runs code
- pyproject.toml 582 B
- README.md 2.3 KB
- src/produced_water_scale_screening/__init__.py 814 B runs code
- src/produced_water_scale_screening/builder.py 9.2 KB runs code
- src/produced_water_scale_screening/chemistry.py 4.5 KB runs code
- src/produced_water_scale_screening/scale.py 10 KB runs code
- tests/test_produced_water_builder.py 2.3 KB runs code
- tests/test_scale_screener.py 2.4 KB runs code
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.
- 12d ago First seen · 150 lines · 92 tokens per session scan A 377f1ec49707
neqsim-produced-water-scale-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 92 tokens to every session and 2,170 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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