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-e300-fluid-iogit 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-e300-fluid-io)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-e300-fluid-io"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-e300-fluid-io/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-e300-fluid-io"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-e300-fluid-io.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 | $0.00095 | $0.02622 |
| Opus 5.5 | $0.00038 | $0.01049 |
| Sonnet 5.5 | $0.00019 | $0.00524 |
| Haiku 4.5 | $0.00010 | $0.00262 |
Grade A, and why
neqsim-e300-fluid-io 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E300 Fluid I/O
Use this skill to move fluids between Eclipse 300 (E300) compositional EOS files and NeqSim, and to add water to a fluid or E300 file using the public PVTsim water parameterization.
The skill has two layers:
- A pure-Python layer that parses, edits, and writes the E300 keyword format without requiring NeqSim. It is used to inspect files, add water, and produce E300 files that NeqSim can read back.
- A NeqSim bridge that wraps
neqsim.thermo.util.readwrite.EclipseFluidReadWriteto load E300 files into rigorous NeqSimSystemInterfacefluids, add water, and write fluids back to E300.
When to Use
- When a task provides an E300 file and needs a NeqSim fluid for simulation.
- When a NeqSim fluid must be exported to an E300 file for PVTsim or Eclipse.
- When water must be added to a dry fluid using the public PVTsim water
parameters (reproducing a PVTsim
*_water.e300file). - When an existing E300 file must be copied with water appended as the last component with a binary interaction parameter of 0.5 against all components.
- When a task must document or verify the E300 keyword layout.
Inputs
e300_path: path to an Eclipse E300 file.add_water: whether to append a water component (H2O).water_kij: water binary interaction parameter (PVTsim default 0.5).reservoir_temp_c: reservoir temperature written to the RTEMP keyword.neqsim_fluid: a NeqSimSystemInterfacefluid (for export).
Outputs
neqsim_fluid: a NeqSim fluid created from an E300 file.e300_file: a written E300 file (with or without water).e300_string: E300 keyword text for a NeqSim fluid.E300Fluid: a pure-Python object with component names, EOS parameters, the binary interaction matrix, and the overall composition.
Engineering Method
E300 file format
An E300 file is a keyword text file. Each keyword introduces a value block that
is terminated by a /. Lines starting with -- are comments. The keywords this
skill reads and writes are:
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/build_water_e300.py 1.6 KB runs code
- examples/sample_gas.e300 1.5 KB
- pyproject.toml 528 B
- README.md 1.7 KB
- src/e300_fluid_io/__init__.py 921 B runs code
- src/e300_fluid_io/format.py 15 KB runs code
- src/e300_fluid_io/neqsim_bridge.py 3.8 KB runs code
- tests/test_e300_format.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.
- 1mo ago First seen · 217 lines · 95 tokens per session scan A 1bdb458d8506
neqsim-e300-fluid-io is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 95 tokens to every session and 2,622 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 2026-09-19.
neqsim-e300-fluid-io compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-e300-fluid-ioequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 95 | 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 |