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 design-basis-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/design-basis-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/design-basis-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/design-basis-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/design-basis-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/design-basis-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 | $0.00065 | $0.01083 |
| Opus 5 | $0.00032 | $0.00541 |
| Sonnet 5 | $0.00013 | $0.00217 |
| Haiku 4.5 | $0.00006 | $0.00108 |
Grade A, and why
neqsim-design-basis-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 11d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Basis Screening
Use this skill to assemble and sanity-check a screening design basis: it compares operating capacities and conditions against the proposed design capacities and conditions, computes indicative flow, pressure, and temperature margins, and flags margins below transparent public thresholds. It also echoes the design standards basis. It is intentionally simple and should guide users toward validated mechanical design, the applicable standards (ASME, API, DNV, NORSOK), and qualified engineering review.
When to Use
- When an early concept needs a quick design-margin sanity check.
- When an agent needs an upstream "design basis" feed for a facilities or cost-estimate screening chain.
- When documenting the capacities and conditions a downstream model should use.
Inputs
operating_flow/design_flow: operating and design flow rate (same unit).operating_pressure_bara/design_pressure_bara: operating and design pressure.operating_temperature_c/design_temperature_c: operating and design temperature.standards: optional list of design standards labels.
Outputs
flow_margin,pressure_margin: design/operating ratios.temperature_margin_c: design minus operating temperature.flow_flag,pressure_flag,temperature_flag:okorlow.standards: normalized standards basis.design_warning:okorwatch.flags: human-readable warnings.neqsim_available: whether the optional NeqSim package is importable.assumptions: public assumptions and required follow-up.
Engineering Method
The skill computes simple margins: flow and pressure as design/operating
ratios, temperature as a design-minus-operating difference. Each margin is
compared against an indicative public threshold (default 1.10 for flow and
pressure ratios, 10 C for temperature). A low flag is raised when a margin is
below its threshold, and a missing standards basis is flagged. The verdict is
watch when any flag is raised, otherwise ok.
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.
- 11d ago First seen · 125 lines · 65 tokens per session scan A 751855b8bc84
neqsim-design-basis-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 1,083 once invoked, about $0.0003 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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