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-prose-englishgit 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-prose-english)<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.
<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>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 | $0.00083 | $0.01280 |
| Opus 5.5 | $0.00033 | $0.00512 |
| Sonnet 5.5 | $0.00017 | $0.00256 |
| Haiku 4.5 | $0.00008 | $0.00128 |
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.
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_englishwhen the reporting workflow records provenance.
Engineering Method
- Decide the meaning before drafting. Identify the claim, evidence, responsible actor, affected object, consequence, and uncertainty.
- Name concrete actors and actions. Prefer "the valve closed in 4 s" to "a rapid closure event occurred".
- Use familiar, precise words. Keep specialized engineering terms when they carry necessary meaning, and define them when the audience may not know them.
- Replace stock phrases, dead metaphors, inflated diction, euphemism, and abstract noun chains with the fact or mechanism they conceal.
- Prefer active voice when the actor matters. Use passive voice when the actor is unknown, irrelevant, or less important than the result.
- Put measured quantities and observed consequences ahead of adjectives. Never make a sentence vivid at the cost of technical accuracy.
- Vary sentence length and cadence deliberately. Let emphasis follow the meaning rather than a prefabricated rhythm.
- State uncertainty, failure, adverse consequence, and responsibility plainly. Do not use style to make an unwelcome result disappear.
- Break a style rule when strict compliance would make the statement misleading, unnatural, or technically wrong.
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.
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 First seen · 124 lines · 83 tokens per session scan A 6e9c9b3754bb
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.
neqsim-prose-english compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-prose-englishequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 83 | 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 |