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-surf-cooldown-screeninggit 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-surf-cooldown-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-surf-cooldown-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-surf-cooldown-screening/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-surf-cooldown-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-surf-cooldown-screening.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 | $0.00074 | $0.01641 |
| Opus 5.5 | $0.00030 | $0.00656 |
| Sonnet 5.5 | $0.00015 | $0.00328 |
| Haiku 4.5 | $0.00007 | $0.00164 |
Grade A, and why
neqsim-surf-cooldown-screening 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SURF Cooldown Screening
Use this skill for a quick, public estimate of the no-touch time of an insulated subsea flowline or riser after a shutdown: how long the trapped fluid stays above its hydrate formation temperature (plus a safety margin) before remedial action (depressurization or inhibitor injection) is required. It is intentionally simple and should guide users toward validated NeqSim cooldown and hydrate workflows for real work.
When to Use
- When a user asks roughly how long a subsea line can be left after shutdown before reaching the hydrate region.
- When a validated NeqSim hydrate equilibrium temperature and a lumped thermal time constant (or the data to estimate one) are already available.
- When an agent should explain that validated NeqSim methods are required for real cooldown, no-touch-time, and inhibitor design.
Inputs
initial_temperature: fluid temperature at shutdown in C.seabed_temperature: ambient seabed (sink) temperature in C.hydrate_equilibrium_temperature: hydrate formation temperature in C from a validated NeqSim calculation.time_constant_hours: lumped exponential cooldown time constant in hours.hydrate_margin: configurable margin above the hydrate temperature in C (constructor, default 3.0).required_no_touch_time: optional operational target in hours (constructor).
A helper, time_constant_from_lumped_mass, estimates time_constant_hours from
fluid density, specific heat, internal diameter, and an overall U-value using the
public lumped relation tau = rho * cp * D / (4 * U).
Outputs
no_touch_time_hours: time to cool to the hydrate target temperature.target_temperature_c: hydrate equilibrium temperature plus the margin.verdict:ok,marginal,critical, orno_hydrate_risk.neqsim_available: whether the optional NeqSim package is importable.assumptions: public assumptions and required follow-up.
Engineering Method
The placeholder uses a single-node (lumped) exponential cooldown:
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 Changed · +6 lines 5d14bccafd1b
- 1mo ago First seen · 159 lines · 74 tokens per session scan A 5923bc483d40
neqsim-surf-cooldown-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 74 tokens to every session and 1,641 once invoked, about $0.0003 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-surf-cooldown-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-surf-cooldown-screeningequinor/neqsim-community-skills | Skill | 4 | 4d ago | Apache-2.0 | A | 74 | 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 |