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-ageing-life-extension-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-ageing-life-extension-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-ageing-life-extension-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-ageing-life-extension-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-ageing-life-extension-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-ageing-life-extension-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 | $0.00082 | $0.03908 |
| Opus 5.5 | $0.00033 | $0.01563 |
| Sonnet 5.5 | $0.00016 | $0.00782 |
| Haiku 4.5 | $0.00008 | $0.00391 |
Grade A, and why
neqsim-ageing-life-extension-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 7d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ageing and Life-Extension Screening
Use this skill when a maintenance history has to answer a life-extension question: is this equipment getting worse, and will it still do its job in year N? It turns a list of corrective-failure dates into a trend verdict, a fitted failure-intensity model, a projection to a target year, and a maintain-versus-replace crossover.
When to Use
- A life-extension or lifetime-programme decision must be justified from failure history.
- A user asks whether failures are becoming more frequent (ageing) or less frequent (reliability growth).
- A projection is needed of how many failures to expect between today and a required end-of-life year.
- A maintain-versus-replace comparison is needed at screening level.
- A recurring failure has to be characterised across many years of records.
- A study (tie-back, economics, emissions, capacity increase, concept selection) needs a production or operating horizon: establish the technical life basis first (see below).
- A question asks how long an installation or equipment population can operate, or what limits technical life.
Do NOT Use For
- A single non-repairable item's time-to-failure distribution — that is a lifetime (Weibull) problem, not a point-process problem.
- Structural fatigue or corrosion remaining-life — those need a damage model, not a failure-count trend.
- A qualified life-extension assessment or regulatory submission. This is screening input to one.
Technical Life Basis (establish this before any study that uses a horizon)
Any study that needs a field life, production horizon, tie-in tail, NPV window or remaining-life statement (tie-back, debottlenecking, capacity increase, concept selection, emissions or economics roll-up) must first establish an explicit technical life basis for the host and for each life-limiting equipment population. Do not assume a horizon; read it, state its source, and carry it into the study as an input with a data-gap flag when it is missing.
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.
- 7d ago Changed · +1 lines 95c4a377bcba
- 19d ago Changed · +47 lines · -12 tokens per session 34e96b78fc72
- 1mo ago Changed · -31 tokens per session 94c7768c774a
- 1mo ago First seen · 180 lines · 125 tokens per session scan A 6de377d0aa29
neqsim-ageing-life-extension-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 82 tokens to every session and 3,908 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-ageing-life-extension-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-ageing-life-extension-screeningequinor/neqsim-community-skills | Skill | 4 | 4d ago | Apache-2.0 | A | 82 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |