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-hydrate-margin-checkgit 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-hydrate-margin-check)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-hydrate-margin-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-hydrate-margin-check/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-hydrate-margin-check"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-hydrate-margin-check.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 | $0.00056 | $0.01045 |
| Opus 5.5 | $0.00022 | $0.00418 |
| Sonnet 5.5 | $0.00011 | $0.00209 |
| Haiku 4.5 | $0.00006 | $0.00104 |
Grade A, and why
neqsim-hydrate-margin-check 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hydrate Margin Check
Use this skill for a quick, public check of whether a process or pipeline operating point keeps a temperature margin above a known hydrate equilibrium temperature. It is intentionally simple and should guide users toward validated NeqSim hydrate calculations for real work.
When to Use
- When a user asks whether an operating temperature stays clear of the hydrate region.
- When a validated NeqSim hydrate equilibrium temperature is already available.
- When an agent should explain that validated NeqSim methods are required for real hydrate prediction and inhibitor design.
Inputs
operating_temperature: operating temperature in C.hydrate_equilibrium_temperature: hydrate equilibrium (formation) temperature in C from a validated NeqSim calculation.min_margin: configurable minimum acceptable margin in C (constructor, default 3.0).
Outputs
hydrate_margin_c: operating temperature minus the hydrate equilibrium temperature in C.subcooling_c: subcooling into the hydrate region in C, zero when the operating point is outside the region.margin_warning:ok,watch, orhigh.neqsim_available: whether the optional NeqSim package is importable.assumptions: public assumptions and required follow-up.
Engineering Method
The placeholder method computes the hydrate margin as operating_temperature - hydrate_equilibrium_temperature. A non-positive margin means the operating point is inside the hydrate region and is flagged high. A small positive margin below min_margin is flagged watch. A larger margin is flagged ok.
This is not a thermodynamic hydrate model. The hydrate equilibrium temperature must come from a validated NeqSim hydrate calculation with a defined fluid composition, water content, inhibitor basis, and operating envelope.
Python Usage Pattern
from hydrate_margin_check import HydrateMarginModel
model = HydrateMarginModel(min_margin=3.0)
result = model.evaluate(
operating_temperature=10.0,
hydrate_equilibrium_temperature=8.0,
)
print(result.hydrate_margin_c)
print(result.margin_warning)
print(result.assumptions)
What ships with it
6 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.
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 · 100 lines · 56 tokens per session scan A 66594772f608
neqsim-hydrate-margin-check is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 56 tokens to every session and 1,045 once invoked, about $0.0002 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-hydrate-margin-check compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-hydrate-margin-checkequinor/neqsim-community-skills | Skill | 4 | 4d ago | Apache-2.0 | A | 56 | 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 |