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 --skill neqsim-production-chemistrygit clone --depth 1 https://github.com/equinor/neqsimWrote 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/neqsim-production-chemistry)<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-production-chemistry"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-production-chemistry/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/neqsim-production-chemistry"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-production-chemistry.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 | $0.00116 | $0.08709 |
| Opus 5.5 | $0.00046 | $0.03484 |
| Sonnet 5.5 | $0.00023 | $0.01742 |
| Haiku 4.5 | $0.00012 | $0.00871 |
Grade A, and why
neqsim-production-chemistry 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 20d 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 — 677 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Production Chemistry with NeqSim
neqsim.process.chemistry is an open, standards-traceable production-chemistry stack:
chemical inventory, compatibility rules, per-threat dose-response models, a
flowsheet-visible injection point, and an explainable root-cause analyser. Every model
exposes getStandardsApplied() and toMap() / toJson() so results drop straight into
results.json.
When to Use This Skill
- Which chemical, which chemistry family, and what dose for a given threat
- Compatibility of a chemical cocktail with itself, with the produced water, and with the material
- Minimum inhibitor concentration (MIC), residual SI after treatment, inhibited corrosion rate
- H2S scavenger demand, capacity and breakthrough time
- Hydrate inhibitor (MEG/MeOH) injection rate for a target subcooling; KHI induction time
- Demulsifier dose vs oil-in-water spec, dosing lag, monthly compliance
- How a pH adjuster / scavenger shifts the brine chemistry and the scaling tendency
- Chemical incident root cause (deposit, emulsion, corrosion, pH excursion, H2S breakthrough)
- Uncertainty (P10/P50/P90) on any of the above
What This Skill Is NOT
- Thermodynamics of the threat — hydrate curve, WAT, asphaltene onset, SI from an ion
table: load
neqsim-flow-assurance,neqsim-wax-calculations,neqsim-electrolyte-systems. This skill consumes those results and answers what chemical, how much, and what happens. - Rigorous reaction kinetics — load
neqsim-reaction-engineering. - Equipment root cause from historian data — load
neqsim-root-cause-analysis.RootCauseAnalyserhere is the chemical RCA (deposit / chemistry symptoms).
Applicable Standards
| Domain | Standards |
|---|---|
| Scale prediction and inhibitor testing | NACE TM0374, NORSOK M-001 |
| Corrosion inhibitor selection and monitoring | NACE SP0775, NORSOK M-506, ISO 21457 |
| Sour service / H2S | NACE MR0175 / ISO 15156, NACE TM0169, GPSA §21 |
| Produced water discharge | OSPAR 2001/1 (30 mg/L OiW monthly average), NORSOK S-002 |
| Chemical selection / HSE | OSPAR HOCNF, PLONOR (screening context only — NeqSim does not score ecotoxicity) |
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.
- 20d ago Changed · -88 tokens per session 3f97b97cda16
- 22d ago Changed · +36 lines 8daffff07b34
- 1mo ago Changed · +48 lines bf794bdb45ac
- 1mo ago First seen · 593 lines · 204 tokens per session scan A 52d088f7f6d2
neqsim-production-chemistry is a skill published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 116 tokens to every session and 8,709 once invoked, about $0.0005 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 2026-09-08.
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