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 dynamic-instrument-controller-setupgit 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/dynamic-instrument-controller-setup)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/dynamic-instrument-controller-setup"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/dynamic-instrument-controller-setup/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/dynamic-instrument-controller-setup"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/dynamic-instrument-controller-setup.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 | $0.00059 | $0.01716 |
| Opus 5 | $0.00030 | $0.00858 |
| Sonnet 5 | $0.00012 | $0.00343 |
| Haiku 4.5 | $0.00006 | $0.00172 |
Grade A, and why
neqsim-dynamic-instrument-controller-setup 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 10d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dynamic Instrument Controller Setup
Use this skill when an agent must add instruments and controllers to a NeqSim dynamic process model. It documents transmitter selection, controller configuration, valve or equipment manipulation, direct/reverse action checks, and transient validation.
When to Use
- When a dynamic NeqSim model needs level, pressure, temperature, or flow measurement devices.
- When a process valve or unit should be manipulated by a controller during
runTransient(). - When an agent needs to create public controller setup guidance with setpoints, min/max transmitter ranges, and PID parameters.
- When controller event logs and
autoTuneFromEventLog(False)should be used for tuning studies.
Inputs
loop_name: public loop identifier such asLC-001orPC-001.controlled_variable: measured variable such aslevel,pressure,temperature, orflow.transmitter_target: NeqSim unit or stream that the transmitter measures.manipulated_equipment: valve or equipment receiving the controller.setpoint: controller setpoint in the same basis as the transmitter.minimum_valueandmaximum_value: transmitter validation range.reverse_acting: whether controller output decreases when measured value increases.kp,ti,td: PID parameters forControllerDeviceBaseClass#setControllerParameters(...).
Outputs
loop_ready: boolean indicator for whether the supplied loop metadata is complete and internally consistent.transmitter_class: recommended NeqSim transmitter class.controller_steps: NeqSim API sequence for creating and attaching the control loop.validation_warnings: missing range, action, setpoint, or tuning issues.autotune_steps: optional event-log and setpoint-step workflow.
Engineering Method
The Python class DynamicInstrumentControllerModel is a public control-loop setup checker. It does not tune or run NeqSim. It maps a controlled variable to a known NeqSim measurement-device class and validates that the controller metadata is sufficient for a dynamic simulation workflow.
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.
- 10d ago First seen · 172 lines · 59 tokens per session scan A 6ae72409767d
neqsim-dynamic-instrument-controller-setup is a skill published in the GitHub repository equinor/neqsim-community-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 1,716 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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