What is nature-writing?

A guide for drafting, restructuring, or planning Nature-style scientific manuscripts and submission materials. It covers sections such as abstracts, introductions, methods, results, and discussions.

Use it to write or rebuild paper sections, titles, abstracts, full manuscripts, and initial-submission documents.

It helps turn supplied claims, results, figures, notes, or Chinese drafts into a clearer manuscript structure without adding unsupported facts.

nature-writing — Skill for Codex by hamzabellouch

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 hamzabellouch/agent-skills --skill academic-nature-nature-writing

Clone the repo

git clone --depth 1 https://github.com/hamzabellouch/agent-skills

Made for: 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-nature-nature-writing/github.svg)](https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-nature-nature-writing)

Your own site

<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-nature-nature-writing"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-nature-nature-writing/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-nature-nature-writing"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-nature-nature-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 169 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,251 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 88% 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.

Model	Per session	Once invoked
Fable 5.1	$0.00169	$0.01251
Opus 5	$0.00084	$0.00626
Sonnet 5	$0.00034	$0.00250
Haiku 4.5	$0.00017	$0.00125

Measured 8d ago against content hash ee5a26c639e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

nature-writing 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 8d 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.

Origin

This is a copy

88% identical to nature-writing — 29 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.

Academic and Scientific Research/academic-nature-nature-writing/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Nature-Style Scientific Writing — Router

This skill is split into two layers:

A static layer under static/ that holds versioned, reusable content fragments (core stance + workflow, paper-type playbooks, per-section drafting guidance, initial-submission guidance, language-specific rules, per-journal style).
A dynamic layer (this file plus manifest.yaml) that detects the request's axes and loads only the fragments needed for the current job.

Do not try to apply the drafting logic from memory or from this router. Always load fragments from disk as described below.

Routing protocol

Follow these five steps every time the skill is invoked.

1. Load the manifest and the core layer

Read manifest.yaml. It declares the axes (task, paper_type, section, language, journal), the allowed values, and the file paths each value maps to.

Also read every file listed under always_load. These hold the default stance, writing workflow, and output format that apply to every drafting job.

2. Detect the axis values for this request

For each axis in the manifest, decide the value using the manifest's detect: hint and the user's input:

task — manuscript / submission-package. Use submission-package for first-submission materials, never for revision correspondence.
paper_type — research / methods / hypothesis / algorithmic / review. Default: research.
section — abstract / intro / related-work / method / experiments / discussion / conclusion / title. May be multiple. Ask the user if it is ambiguous and matters for the draft.
language — en or zh-to-en. Detect from the user's notes themselves.
journal — nature / nat-comms / generic. Default: generic. If the user names a Nature subjournal, treat it as nature.

State the detected axis values in one short line to the user before drafting, so they can correct you cheaply.

3. Load the matching fragments

For each axis value, Read the file mapped in the manifest. Skip the section axis when the task is submission-package or when the user explicitly asks for a free-floating argument paragraph with no section context.

Read the full file on GitHub · 83 lines

Files

What ships with it

60 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.

8d ago First seen · 83 lines · 169 tokens per session scan A ee5a26c639e4

Subscribe to this mod's changes

nature-writing is a skill published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 169 tokens to every session and 1,251 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to nature-writing, differing in 29 lines, and is treated as a copy.

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