nature-polishing

nature-polishing is a skill for Claude Code from YuanyuanMa03/academic-research-skills. It costs 77 tokens per session (2,854 once invoked), scanned A, a copy of nature-polishing, MIT.

An academic-writing editor for improving, restructuring, or translating scientific prose into clear English shaped by Nature-style publishing patterns. It works on the reasoning and structure as well as sentence wording, without inventing scientific claims.

In plain words
What is it for?
It helps revise manuscript paragraphs, abstracts, introductions, results, and other academic sections, including drafts originally written in Chinese.
Why use it?
It helps fix unclear argument flow, weak evidence presentation, and awkward language instead of merely correcting grammar. It also helps writers make a draft easier for readers to follow.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the nature-polishing plugin — 1 skill shipped together

Good fit It helps revise manuscript paragraphs, abstracts, introductions, results, and other academic sections, including drafts originally written in Chinese.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yuanyuanma03/academic-research-skills/nature-polishing
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 YuanyuanMa03/academic-research-skills --skill nature-polishing
Clone the repo
git clone --depth 1 https://github.com/YuanyuanMa03/academic-research-skills

Made for: Claude Code.

Or install nature-polishing, the plugin that ships this one along with the rest of its 1 skill.

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 nature-polishing

README.md
[![agentmods](https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/nature-polishing/github.svg)](https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/nature-polishing)
Your own site
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/nature-polishing"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/nature-polishing/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 nature-polishing

Your own site · 80×15
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/nature-polishing"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/nature-polishing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,854 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 95% copy Near-identical to another mod 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 $0.00077 $0.02854
Opus 5.5 $0.00031 $0.01142
Sonnet 5.5 $0.00015 $0.00571
Haiku 4.5 $0.00008 $0.00285

Measured today against content hash a32c8fc39e79, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nature-polishing 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 today.

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.

Origin

This is a copy

95% identical to nature-polishing — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/nature-polishing/skills/nature-polishing/SKILL.md · 388 lines

How it starts

The opening of the file, as written. The whole thing — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Nature-Style Academic Polishing

Use this skill to improve scientific writing at two levels:

  • main strategy: paper architecture, published-article patterns, section logic, reader workflow, evidence thresholds, and ethics
  • reference support: reusable phrase families, move patterns, transitions, and style checks

The main strategy should come from the course notes in Chapter1-Week1-7 and the curated article-pattern reference. The wording layer should come from Academic Phrasebank.

Default stance

  • Language serves argument. Do not polish sentences while leaving the reasoning broken.
  • Write with empathy for the reader: relevance first, then novelty, then trust, then reuse, then meaning.
  • There should be no mystery for the writer, but there may be one for the reader.
  • Do not invent data, references, mechanisms, or novelty claims.
  • Do not let AI draft the paper's core scientific argument from scratch.
  • If the draft is Chinese or structurally rough, reconstruct the logic first and the prose second.
  • Avoid em dashes in polished output by default. Prefer commas, parentheses, or full stops. Use colons sparingly unless the user explicitly asks to preserve dash-based punctuation or wants a colon-led style.

When to open extra files

These files are reference support. Use them after the section's rhetorical job is clear.

File Open when
references/published-article-patterns.md You need Nature/Nature Communications article-level writing patterns for abstracts, introductions, Results, Discussion, conclusions, or titles
references/writing-strategy.md You need paragraph- or section-level argument repair before sentence polishing
references/section-moves.md You need section-specific move orders or phrase patterns derived from Academic Phrasebank
references/phrasebank-playbook.md You need hedging, transition, evidence, limitation, or future-work phrase families
references/style-guardrails.md You need academic-style checks, paragraph/sentence checks, article use, register, or mechanics

Read the full file on GitHub · 388 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. today First seen · 388 lines · 77 tokens per session scan A a32c8fc39e79

Subscribe to this mod's changes

nature-polishing is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (75 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 2,854 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to nature-polishing, differing in 11 lines, and is treated as a copy.

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