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-reservoir-facility-value-chaingit 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-reservoir-facility-value-chain)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-reservoir-facility-value-chain"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reservoir-facility-value-chain/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-reservoir-facility-value-chain"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reservoir-facility-value-chain.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 | $0.00100 | $0.02641 |
| Opus 5.5 | $0.00040 | $0.01056 |
| Sonnet 5.5 | $0.00020 | $0.00528 |
| Haiku 4.5 | $0.00010 | $0.00264 |
Grade A, and why
neqsim-reservoir-facility-value-chain 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 19d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reservoir-to-Facility Gas Value Chain
Screening workflow that couples a reservoir tank, well deliverability and a facility capacity curve,
so one model answers "who limits production now, and when does that change?". It was built for the
Troll A/B/C to Kollsnes chain (Troll East, Troll West gas province, Troll B and C oil rims) and is
field-agnostic. Use NeqSim process models (ProcessSystem, ProcessModel) for the facility numbers and
NeqSim SimpleReservoir or OPM Flow when a 3D reservoir model exists; this skill is the fast layer
between them.
When to Use
- Reservoir depletion must be linked to a platform or export system in one model.
- A gas field needs a history match from shut-in wellhead pressure and allocated volumes.
- The question is whether wells or the facility limit production, and when that changes.
- Compression or well levers must be valued against a forecast.
Inputs
- Monthly allocated volumes per wellbore and a daily sample with WHP, choke and on-stream hours.
- Gas composition, reservoir temperature, TVD for the static column.
- A facility throughput sweep at several separation pressures (utilisation versus rate).
- Flowline pressure drop at a reference rate, and the export arrival pressure.
Outputs
- Tank parameters (p/z_i, GIIP) and the fitted well law per well group.
- Facility capacity versus separation pressure, the best separation pressure and the binding side (SUPPLY or FACILITY) per month.
- Scenario comparison and P10/P90 from bootstrap and parameter sampling.
Engineering Method
| Step | Python (this skill) | NeqSim Java (neqsim.process.fielddevelopment.integrated) |
|---|---|---|
| Shut-in WHP to reservoir pressure | static_bottomhole_pressure |
MaterialBalanceHistoryMatch.staticBottomholePressure |
| p/z line, GIIP, outlier rejection | fit_pz_line |
MaterialBalanceHistoryMatch.fitPzLine |
| Real-gas p/z tank | GasTank |
RealGasMaterialBalanceDrive + DranchukAbouKassemZ |
| Well law q = C (pr^2 - pwh^2)^n | RSDeliverability.fit |
RawlinsSchellhardtFit, WellDeliverabilityCurve.fromRawlinsSchellhardt |
| Facility capacity from sweep | capacity_from_sweep, PressureCapacityCurve |
SupplyCapacityBalance.PressureCapacityCurve |
| Best separation pressure | maximise_rate |
SupplyCapacityBalance.maximiseRate |
What ships with it
8 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/gas_chain_demo.py 1.0 KB runs code
- pyproject.toml 592 B
- README.md 676 B
- src/reservoir_facility_value_chain/__init__.py 598 B runs code
- src/reservoir_facility_value_chain/facility.py 3.3 KB runs code
- src/reservoir_facility_value_chain/gasprops.py 3.4 KB runs code
- src/reservoir_facility_value_chain/reservoir.py 3.6 KB runs code
- tests/test_facility_value_chain.py 3.4 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.
- 19d ago Changed · +1 lines 6f2ad027be8d
- 26d ago Changed · +55 lines 1254478bd696
- 27d ago Changed · +12 lines f42c3d80dc88
- 1mo ago First seen · 89 lines · 100 tokens per session scan A cbb82022a04c
neqsim-reservoir-facility-value-chain is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 100 tokens to every session and 2,641 once invoked, about $0.0004 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 2026-10-08.
neqsim-reservoir-facility-value-chain compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-reservoir-facility-value-chainequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 100 | 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 |