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 benchmark-reference-datagit 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/benchmark-reference-data)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/benchmark-reference-data"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/benchmark-reference-data/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/benchmark-reference-data"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/benchmark-reference-data.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 | $0.00267 | $0.03767 |
| Opus 5 | $0.00133 | $0.01884 |
| Sonnet 5 | $0.00053 | $0.00753 |
| Haiku 4.5 | $0.00027 | $0.00377 |
Grade A, and why
neqsim-benchmark-reference-data 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 8d 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 — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Benchmark Reference Data
Every Standard and Comprehensive NeqSim task must compare its results against independent reference data before the numbers are reported. In practice that step gets rewritten in every benchmark notebook, with the reference values pasted in as bare literals, no citation, an invented tolerance, and no check that the reference is actually independent of the model being tested.
This skill supplies the parts that should not be rewritten: where the reference came from, whether it is allowed to be used as a benchmark here, how far the model may deviate before the comparison fails, and what the result block must look like so the report generator and the CI gate accept it.
It does not compute NeqSim results. It provides the other side of the comparison and the verdict.
When to Use
- A task is writing its
XX_benchmark_validation.ipynbnotebook. - A
benchmark_validationblock must be produced forresults.json. - A property, critical constant, or saturation condition from a NeqSim fluid needs an independent, citable reference value.
- A number quoted in a report needs a traceable provenance chain from value to citation.
- An existing benchmark claim must be audited: is the reference independent, is the deviation larger than the reference's own uncertainty, are there enough points?
When Not to Use
- As a property engine. CoolProp and the anchor table are references, not the model — do not use them to produce the answer the task is asked for.
- For mixtures outside a reference formulation's validated range. The applicability gate will refuse, and it is right to refuse.
- As a substitute for measured data on the actual fluid. A reference EOS for a pure component does not validate a characterised reservoir fluid; it validates the pure-component limit of the model.
- To manufacture a PASS. Loosening the tolerance until a comparison passes is the failure mode this skill exists to make visible.
Inputs
| Input | Meaning |
|---|---|
model_value |
the number the task computed (NeqSim, or any model under test) |
reference |
a ReferencePoint from the anchor table or the CoolProp backend |
tolerance_pct |
acceptance band in percent; defaults per property when omitted |
model_tier |
authority tier of the model basis, default "correlation" |
model_label |
label used in the output block, default "neqsim" |
informational |
mark a comparison as context only, never graded |
What ships with it
15 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/validate_against_anchor_points.py 2.2 KB runs code
- examples/validate_with_coolprop.py 2.6 KB runs code
- pyproject.toml 595 B
- README.md 1.5 KB
- src/benchmark_reference_data/__init__.py 2.0 KB runs code
- src/benchmark_reference_data/comparison.py 6.8 KB runs code
- src/benchmark_reference_data/coolprop_backend.py 5.3 KB runs code
- src/benchmark_reference_data/reference_data.py 7.3 KB runs code
- src/benchmark_reference_data/report.py 7.0 KB runs code
- src/benchmark_reference_data/sources.py 12 KB runs code
- tests/test_benchmark_report.py 5.0 KB runs code
- tests/test_comparison.py 3.4 KB runs code
- tests/test_coolprop_backend.py 2.5 KB runs code
- tests/test_reference_data.py 2.5 KB runs code
- tests/test_sources.py 2.1 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.
- 8d ago First seen · 299 lines · 267 tokens per session scan A fbbe46ce0bf2
neqsim-benchmark-reference-data is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed 4d ago), licensed Apache-2.0. It adds 267 tokens to every session and 3,767 once invoked, about $0.0013 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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