neqsim-control-authority-screening

neqsim-control-authority-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 87 tokens per session (2,293 once invoked), scanned A, original, Apache-2.0.

A screening analysis of whether a process control loop can still correct disturbances. It uses controller output and process-value history to find time spent at limits, changes in variability, time away from the target, and estimated time to a limit.

In plain words
What is it for?
Use it for control-loop investigations, root-cause analysis, and estimating how long operators may have before a controlled variable reaches a trip limit.
Why use it?
A valve or other control device at its limit cannot respond further, even if the outside disturbance has not changed. This helps distinguish a failing control loop from an external process problem.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for control-loop investigations, root-cause analysis, and estimating how long operators may have before a controlled variable reaches a trip limit.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-control-authority-screening
Install

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.

Any agent
npx skills add equinor/neqsim-community-skills --skill neqsim-control-authority-screening
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim-community-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for neqsim-control-authority-screening

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-control-authority-screening/github.svg)](https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-control-authority-screening)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-control-authority-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-control-authority-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.

agentmods 80×15 button for neqsim-control-authority-screening

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-control-authority-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-control-authority-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,293 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.02293
Opus 5.5 $0.00035 $0.00917
Sonnet 5.5 $0.00017 $0.00459
Haiku 4.5 $0.00009 $0.00229

Measured 1mo ago against content hash 383e959e5a37, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-control-authority-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.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_control_authority_screening.py, src/control_authority_screening/__init__.py, src/control_authority_screening/model.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/process/neqsim-control-authority-screening/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Control Authority Screening

Use this skill to test whether a regulatory loop still has authority. A final control element driven onto its stop can no longer reject a disturbance, so ordinary unchanged variability begins passing straight through to the controlled variable and into a trip. The presenting symptom — "the process got worse" — points outward at the disturbance, while the cause sits inside the loop.

The screening is cheap: it needs a controller output and its process value, two tags that are almost always historised. Run it as a default check before an investigation commits to an external cause.

When to Use

  • A controlled variable has degraded and the disturbance behind it looks unchanged.
  • A control valve is reported wide open, bottomed out, or "already doing everything it can".
  • An investigation into an external disturbance is being proposed, and the loop has not been ruled out.
  • A root-cause analysis presents the symptom "the controlled variable got worse".
  • A trip margin must be converted into the time an operator actually has to intervene.

Inputs

  • controller_output: controller output history, same units as output_min and output_max.
  • controlled_variable: process value history, aligned sample for sample with the output.
  • output_min, output_max: output stops, default 0 and 100.
  • saturation_band: distance from a stop that still counts as saturated, default 1.
  • sample_interval_h: sampling interval in hours, default 1.
  • set_point, set_point_tolerance: optional, for the off-set-point fraction.
  • disturbance: optional aligned disturbance history, for the regime gain fits.
  • limit_value: optional trip or alarm limit, for time-to-limit.

compare_periods takes a sequence of PeriodObservation(label, saturation_fraction, disturbance_std) covering comparable periods, for example the same season in successive years.

Outputs

  • saturation_fraction, upper_saturation_fraction, lower_saturation_fraction, modulating_fraction.
  • saturated and modulating: RegimeStatistics with sample count, mean, standard deviation, disturbance gain, and the gain fit r-squared.
  • variance_ratio: controlled-variable variance while saturated over variance while modulating — the direct measure of rejection lost.
  • gain_ratio: disturbance-to-process gain while saturated over the gain while modulating.
  • off_set_point_fraction, max_rate_per_hour, margin_to_limit, time_to_limit_h.
  • authority_status: authority-retained, authority-marginal, or authority-lost.
  • warnings, assumptions.
  • From compare_periods: saturation_change, saturation_relative_change, disturbance_change, disturbance_relative_change, verdict (control-authority-loss, disturbance-growth, both, no-significant-trend, indeterminate) and a one-paragraph narrative.

Read the full file on GitHub · 164 lines

Files

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.

Changes

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.

  1. 1mo ago Changed · -40 tokens per session 383e959e5a37
  2. 1mo ago First seen · 164 lines · 127 tokens per session scan A 10839b12d496

Subscribe to this mod's changes

neqsim-control-authority-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 87 tokens to every session and 2,293 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.

Related

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