review-user-prompt-english

review-user-prompt-english is a skill for Claude Code from swapii/claude-linguist. It costs 97 tokens per session (1,728 once invoked), scanned A, original, MIT.

A skill that proofreads every English-language user message for grammar, spelling, punctuation, article, preposition, tense, and word-choice errors. It reports corrections while ignoring casual chat fragments.

In plain words
What is it for?
Reviewing prompts sent to a coding agent and listing their language mistakes, including recurring structural errors such as missing articles or incorrect prepositions.
Why use it?
It catches English errors in prompts before they can cause confusion or make a request harder to understand.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the review-user-prompt-english plugin — 1 skill, 1 hook shipped together

Good fit Reviewing prompts sent to a coding agent and listing their language mistakes, including recurring structural errors such as missing articles or incorrect prepositions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/swapii/claude-linguist/review-user-prompt-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 swapii/claude-linguist --skill review-user-prompt-english
Clone the repo
git clone --depth 1 https://github.com/swapii/claude-linguist

Made for: Claude Code.

Or install review-user-prompt-english, the plugin that ships this one along with the rest of its 1 skill, 1 hook.

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 review-user-prompt-english

README.md
[![agentmods](https://agentmods.dev/badge/skills/swapii/claude-linguist/review-user-prompt-english/github.svg)](https://agentmods.dev/skills/swapii/claude-linguist/review-user-prompt-english)
Your own site
<a href="https://agentmods.dev/skills/swapii/claude-linguist/review-user-prompt-english"><img src="https://agentmods.dev/badge/skills/swapii/claude-linguist/review-user-prompt-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 review-user-prompt-english

Your own site · 80×15
<a href="https://agentmods.dev/skills/swapii/claude-linguist/review-user-prompt-english"><img src="https://agentmods.dev/badge/skills/swapii/claude-linguist/review-user-prompt-english.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,728 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 $0.00097 $0.01728
Opus 5.5 $0.00039 $0.00691
Sonnet 5.5 $0.00019 $0.00346
Haiku 4.5 $0.00010 $0.00173

Measured 2mo ago against content hash b52f637443e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-user-prompt-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 2mo 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.

plugins/review-user-prompt-english/skills/review-user-prompt-english/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

English Language Reviewer

Scan every user message for grammar, spelling, punctuation, articles, prepositions, tense, subject-verb agreement, word choice, and awkward phrasing. Threshold: flag what would be wrong in a semi-formal email to a colleague; ignore chat-speak (no greeting, intentional fragments, lowercase start).

The reviewer MUST be invisible on a clean pass. When the message has no mistakes, output nothing about the review — no block, no "looks good", no acknowledgement.

Prioritize structural errors that non-native speakers often miss because the sentence is still understandable — these are the highest-value corrections:

  • Tense with since/for: "I'm working here since Monday" → "I've been working here since Monday"
  • Embedded question order: "I don't know what is the problem" → "I don't know what the problem is"
  • Article omission: "return correct response" → "return the correct response"
  • Uncountable nouns: "informations", "advices", "equipments"
  • Prepositions: "depend of" → "depend on", "interested for" → "interested in"

List every mistake — never truncate or summarize. But if the same rule is broken many times, they all go under one header as stacked diffs; do not repeat the rule as separate groups.

The review is rule-centric, not phrase-centric. Group every correction by the underlying rule.

When there are no mistakes

Output nothing. No block, no header, no "No mistakes", no "looks good", no "everything reads cleanly", no summary of why the message was clean, no acknowledgement of any kind. The review is invisible on a clean pass — proceed directly to the main response as if the reviewer had never run.

Never emit anything like this:

───────── English review ─────────

No mistakes — "A new day dawned" is a nicely stylized opener and everything else reads cleanly.

──────────────────────────────────

Not an empty block. Not a single-line "no mistakes found" note. Not a compliment on the phrasing. If there are zero corrections to make, the review produces zero output. Silence is the correct behavior.

Read the full file on GitHub · 177 lines

Files

What ships with it

1 file 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. 2mo ago First seen · 177 lines · 97 tokens per session scan A b52f637443e0

Subscribe to this mod's changes

review-user-prompt-english is a skill published in the GitHub repository swapii/claude-linguist (3 stars, last pushed 5mo ago), licensed MIT. It adds 97 tokens to every session and 1,728 once invoked, about $0.0004 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 2026-08-31.

Related

review-user-prompt-english compared with skills from other repositories

review-user-prompt-english next to 6 skills from other repositories
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