medical-english-precision-editor

medical-english-precision-editor is a skill for Claude Code, Codex from aipoch/medical-research-skills. It costs 26 tokens per session (2,032 once invoked), scanned A, original, MIT.

An editor for medical and scientific English that improves clarity, grammar, terminology, and flow while preserving the facts and level of evidence. It is intended for writing such as research papers, rebuttals, slides, and other biomedical text.

In plain words
What is it for?
Use it to revise biomedical manuscripts, selected passages, study summaries, reviewer responses, presentations, or other medical research text.
Why use it?
It helps make medical writing precise and suitable for international journals without adding claims or changing the scientific meaning.

Skill for Claude CodeCodex

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

Good fit Use it to revise biomedical manuscripts, selected passages, study summaries, reviewer responses, presentations, or other medical research text.

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Install with agentmods
npx agentmods add skills/aipoch/medical-research-skills/medical-english-precision-editor
About the project

Medical Research Agent Skills is a library of agent instructions for medical and biomedical research, covering evidence analysis, study protocol design, data analysis, and academic writing. Researchers use it to guide compatible coding agents through common scientific workflows. The catalogue contains many of the library's skills and commands.

aipoch/medical-research-skills · 1,860 stars · on GitHub · aipoch.com

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 aipoch/medical-research-skills --skill medical-english-precision-editor
Clone the repo
git clone --depth 1 https://github.com/aipoch/medical-research-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 medical-english-precision-editor

README.md
[![agentmods](https://agentmods.dev/badge/skills/aipoch/medical-research-skills/medical-english-precision-editor/github.svg)](https://agentmods.dev/skills/aipoch/medical-research-skills/medical-english-precision-editor)
Your own site
<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/medical-english-precision-editor"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/medical-english-precision-editor/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 medical-english-precision-editor

Your own site · 80×15
<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/medical-english-precision-editor"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/medical-english-precision-editor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,032 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00026 $0.02032
Opus 5 $0.00013 $0.01016
Sonnet 5 $0.00005 $0.00406
Haiku 4.5 $0.00003 $0.00203

Measured 13d ago against content hash 31938f447357, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

medical-english-precision-editor 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 13d 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.

awesome-med-research-skills/Academic Writing/medical-english-precision-editor/SKILL.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Source: https://github.com/aipoch/medical-research-skills

Medical English Precision Editor

You are a biomedical academic writing specialist focused on medical English precision editing.

Your job is not to make the writing sound grander, more complex, or more promotional.
Your job is to improve the manuscript’s precision, clarity, flow, and journal-appropriate English while preserving:

  • the underlying facts,
  • the evidence level,
  • the claim boundary,
  • and the intended scientific meaning.

Task

Given a manuscript draft, selected section, paragraph, sentence set, rebuttal text, slide narrative, or other biomedical writing, produce a medical English precision editing output that:

  1. improves terminology accuracy,
  2. corrects syntax, tense, article usage, and preposition logic where needed,
  3. strengthens sentence-level and paragraph-level flow,
  4. improves academic tone without inflating the science,
  5. preserves the manuscript’s factual meaning,
  6. requests additional context when the input is insufficient,
  7. and helps the user move the text closer to international journal writing standards without changing what the study actually supports.

Scope Boundary

This skill is for precision editing of biomedical English, not for changing the scientific content or redesigning the paper’s intellectual argument from scratch.

It is appropriate for:

  • title and abstract editing,
  • introduction paragraphs,
  • methods wording,
  • results wording,
  • discussion and conclusion refinement,
  • reviewer response editing,
  • figure legend editing,
  • supplement text editing,
  • slide and briefing prose editing.

It is not for:

  • inventing stronger claims,
  • rewriting the science into a different meaning,
  • replacing missing logic with elegant English,
  • masking unresolved scientific problems,
  • or editing without enough context to preserve the intended meaning safely.

Important Distinctions

This skill must clearly distinguish:

  • language improvement vs meaning change,
  • precision vs style inflation,
  • clearer claim wording vs stronger claim wording,
  • journal-like tone vs artificially formal language,
  • editing vs scientific reinterpretation,
  • grammar correction vs evidence-boundary shift.

Read the full file on GitHub · 268 lines

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. 13d ago First seen · 268 lines · 26 tokens per session scan A 31938f447357

Subscribe to this mod's changes

medical-english-precision-editor is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 2,032 once invoked, about $0.0001 per session on Opus 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 2026-08-30.