neqsim-prose-english

neqsim-prose-english is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 83 tokens per session (1,280 once invoked), scanned A, original, Apache-2.0.

A writing style for final engineering summaries that explains findings, evidence, uncertainty, and recommendations in direct prose. It is intended for interpretation rather than step-by-step procedures.

In plain words
What is it for?
Use it for executive summaries, discussions, conclusions, decision rationales, root-cause narratives, and other final engineering prose.
Why use it?
It helps reports communicate conclusions without canned wording or unsupported claims. It keeps the distinction between measured evidence, interpretation, and uncertainty visible.

Skill for Claude CodeCodex

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

Good fit Use it for executive summaries, discussions, conclusions, decision rationales, root-cause narratives, and other final engineering prose.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-prose-english
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-prose-english
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-prose-english

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-prose-english"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-prose-english.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,280 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 $0.00083 $0.01280
Opus 5.5 $0.00033 $0.00512
Sonnet 5.5 $0.00017 $0.00256
Haiku 4.5 $0.00008 $0.00128

Measured 1mo ago against content hash 6e9c9b3754bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-prose-english 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.

skills/reporting/neqsim-prose-english/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prose English

prose_english is the short alias for this style. It turns verified engineering content into clear prose without making the writing sound simplified, promotional, or machine-generated.

When to Use

  • Use during the final reporting step for executive summaries, discussions, conclusions, recommendations, decision rationales, and root-cause narratives.
  • Use for a generated summary that interprets evidence rather than prescribing a procedure.
  • Use whenever the user explicitly requests prose_english.
  • Do not activate for analysis notes, ordinary chat, source extraction, code, or technical data structures.

Inputs

  • Verified findings, evidence, uncertainty, limitations, and recommendations.
  • The intended reader and the decision the document must support.
  • Mandatory terminology, headings, citations, and template requirements.
  • An optional explicit user style choice.

Outputs

  • Final prose that states actors, actions, evidence, consequences, and uncertainty directly.
  • Natural paragraph structure shaped by the argument rather than a fixed response template.
  • A style record of prose_english when the reporting workflow records provenance.

Engineering Method

  1. Decide the meaning before drafting. Identify the claim, evidence, responsible actor, affected object, consequence, and uncertainty.
  2. Name concrete actors and actions. Prefer "the valve closed in 4 s" to "a rapid closure event occurred".
  3. Use familiar, precise words. Keep specialized engineering terms when they carry necessary meaning, and define them when the audience may not know them.
  4. Replace stock phrases, dead metaphors, inflated diction, euphemism, and abstract noun chains with the fact or mechanism they conceal.
  5. Prefer active voice when the actor matters. Use passive voice when the actor is unknown, irrelevant, or less important than the result.
  6. Put measured quantities and observed consequences ahead of adjectives. Never make a sentence vivid at the cost of technical accuracy.
  7. Vary sentence length and cadence deliberately. Let emphasis follow the meaning rather than a prefabricated rhythm.
  8. State uncertainty, failure, adverse consequence, and responsibility plainly. Do not use style to make an unwelcome result disappear.
  9. Break a style rule when strict compliance would make the statement misleading, unnatural, or technically wrong.

Read the full file on GitHub · 124 lines

Files

What ships with it

5 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 First seen · 124 lines · 83 tokens per session scan A 6e9c9b3754bb

Subscribe to this mod's changes

neqsim-prose-english is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 83 tokens to every session and 1,280 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

neqsim-prose-english compared with skills from other repositories

neqsim-prose-english next to 6 skills from other repositories
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