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-control-authority-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-control-authority-screening)<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.
<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>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 | $0.00087 | $0.02293 |
| Opus 5.5 | $0.00035 | $0.00917 |
| Sonnet 5.5 | $0.00017 | $0.00459 |
| Haiku 4.5 | $0.00009 | $0.00229 |
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.
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 — 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 asoutput_minandoutput_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.saturatedandmodulating:RegimeStatisticswith 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, orauthority-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-paragraphnarrative.
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 · -40 tokens per session 383e959e5a37
- 1mo ago First seen · 164 lines · 127 tokens per session scan A 10839b12d496
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.
neqsim-control-authority-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-control-authority-screeningequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 87 | Claude Code, Codex |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | yesterday | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | yesterday | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| triaging-web-analytics-supportPostHog/posthog | Skill | 41k | yesterday | none | A | 151 | Claude Code, Codex |
| diagnosing-missing-recordingsPostHog/posthog | Skill | 41k | yesterday | none | A | 76 | Claude Code, Codex |