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-material-balancegit 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-material-balance)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-reservoir-material-balance"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reservoir-material-balance/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-material-balance"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reservoir-material-balance.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 | $0.00094 | $0.02253 |
| Opus 5.5 | $0.00038 | $0.00901 |
| Sonnet 5.5 | $0.00019 | $0.00451 |
| Haiku 4.5 | $0.00009 | $0.00225 |
Grade A, and why
neqsim-reservoir-material-balance 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 5d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reservoir Material-Balance Analysis
Use pressure and cumulative production to test an in-place-volume hypothesis. This is a tank-level screening method, not a spatial reservoir simulator or a reserves classification.
When to Use
- Estimate or reconcile gas initially in place (GIIP), original oil in place (OOIP), or total surface-component inventories from pressure and production history.
- Compare a prior volumetric estimate with a pressure-production material balance.
- Test depletion-drive, gas-cap, known-water-influx, or known-compressibility cases.
- Separate formations or pressure compartments before matching a field total.
For compositional gas-condensate depletion, produced composition, or wellstream forecasts, use
neqsim-reservoir-history-match-forecast. Use both workflows only when their fluid and volume bases
are explicitly reconciled.
Inputs
- Dated static/average reservoir pressures, including test type, depth, unit, datum, source and correction provenance.
- Formation-allocated cumulative production and injection for oil, gas and water on one declared surface-volume basis.
- Initial and pressure-dependent PVT, initial pressure and temperature, and relevant rock/fluid compressibilities.
- Supported formation/tank boundaries, pressure communication evidence, and gas-cap/aquifer inputs where applicable.
- Prior in-place estimates and their date, range, volumetric/PVT basis and allocation assumptions.
Outputs
- In-place volumes and units by tank and supported model case.
- Pressure/volume residuals, fit diagnostics and identifiability warnings.
- Cumulative production, injection, aquifer influx and drive contributions on a consistent basis.
- Sensitivity range, comparison with the prior estimate, data gaps and discriminating next evidence.
Required Evidence
Before fitting, assemble one time-aligned history per candidate tank:
- Static or otherwise justified average reservoir pressure with date, wellbore, test type, gauge depth, pressure unit, datum, source, quality and correction method.
- Cumulative oil, gas and water produced and injected, on one declared surface-volume basis. Keep the formation allocation and its uncertainty; a field total is not automatically a formation history.
- PVT at initial conditions and at each pressure observation: pressure, Bo, Bg, Bw, Rs and Rv as applicable, with units, standard conditions and separator basis.
- Initial pressure, temperature, formation/water compressibility and saturation assumptions.
- Formation and pressure-compartment mapping, well completion intervals, shut-in/stabilization status, and evidence for or against pressure communication.
- The previous in-place estimate, estimate date, range, and the pore-volume, saturation, PVT and allocation basis used to calculate it.
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.
- 5d ago First seen · 183 lines · 94 tokens per session scan A 9e5604a40d25
neqsim-reservoir-material-balance is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 94 tokens to every session and 2,253 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 2026-11-01.
neqsim-reservoir-material-balance compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-reservoir-material-balanceequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 94 | 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 |