Nature Skills is a collection of reusable skills that help AI agents handle academic writing and scientific visualization. Researchers and AI-assisted scholars use it to turn research tasks into repeatable workflows and usable outputs. The catalogue entries are skills from this collection.
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 Yuan1z0825/nature-skills --skill nature-writinggit clone --depth 1 https://github.com/Yuan1z0825/nature-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/yuan1z0825/nature-skills/nature-writing)<a href="https://agentmods.dev/skills/yuan1z0825/nature-skills/nature-writing"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/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.
<a href="https://agentmods.dev/skills/yuan1z0825/nature-skills/nature-writing"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00067 | $0.01686 |
| Opus 5.5 | $0.00027 | $0.00674 |
| Sonnet 5.5 | $0.00013 | $0.00337 |
| Haiku 4.5 | $0.00007 | $0.00169 |
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 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature-Style Scientific Writing — Router
Routing protocol
For a new drafting task, follow the routing below. For follow-up edits, reuse established task choices and already loaded guidance; read additional fragments only when the requested scope changes.
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. Usesubmission-packagefor 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 / nature-family / nat-comms / nat-mach-intell / generic. Default: generic. Usenatureonly for the flagship journal Nature,nat-commsfor Nature Communications,nat-mach-intellfor Nature Machine Intelligence (NMI), andnature-familyfor other Nature Portfolio titles or an unspecified Nature-family request.
State the detected axis values in one short line to the user before drafting, so they can correct you cheaply. This is a progress update, not an approval gate; continue unless a necessary decision remains unresolved.
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.
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.
- agents/openai.yaml 253 B
- manifest.yaml 8.5 KB
- README_EN.md 4.9 KB
- README.md 4.3 KB
- references/abstract.md 4.0 KB
- references/article-architecture.md 3.4 KB
- references/chinese-author-workflow.md 1.8 KB
- references/conclusion.md 1.2 KB
- references/examples/abstract-examples.md 875 B
- references/examples/abstract/template-a.md 950 B
- references/examples/abstract/template-b.md 3.2 KB
- references/examples/abstract/template-c.md 1.7 KB
- references/examples/index.md 2.3 KB
- references/examples/introduction-examples.md 1.5 KB
- references/examples/introduction/novel-task-challenge-decomposition.md 1.5 KB
- references/examples/introduction/pipeline-not-recommended-abstract-only.md 2.9 KB
- references/examples/introduction/pipeline-version-1-one-contribution-multi-advantages.md 2.0 KB
- references/examples/introduction/pipeline-version-2-two-contributions.md 2.0 KB
- references/examples/introduction/pipeline-version-3-new-module-on-existing-pipeline.md 1.5 KB
- references/examples/introduction/pipeline-version-4-observation-driven.md 1.4 KB
- references/examples/introduction/technical-challenge-version-1-existing-task.md 2.6 KB
- references/examples/introduction/technical-challenge-version-2-existing-task-insight-backed-by-traditional.md 3.8 KB
- references/examples/introduction/technical-challenge-version-3-novel-task.md 1.6 KB
- references/examples/introduction/version-1-task-then-application.md 727 B
- references/examples/introduction/version-2-application-first.md 405 B
- references/examples/introduction/version-3-general-to-specific-setting.md 847 B
- references/examples/introduction/version-4-open-with-challenge.md 1.7 KB
- references/examples/method-examples.md 1.0 KB
- references/examples/method/example-of-the-three-elements.md 7.3 KB
- references/examples/method/method-writing-common-issues-note.md 355 B
- references/examples/method/module-design-instant-ngp.md 4.5 KB
- references/examples/method/module-motivation-patterns.md 410 B
- references/examples/method/module-triad-neural-body.md 763 B
- references/examples/method/neural-body-annotated-figure-text.md 2.8 KB
- references/examples/method/overview-template.md 2.0 KB
- references/examples/method/pre-writing-questions.md 479 B
- references/examples/method/section-skeleton.md 110 B
- references/experiments.md 4.7 KB
- references/introduction.md 15 KB
- references/method.md 6.9 KB
- references/nat-comms-2025-corpus.md 7.3 KB
- references/nature-summary-paragraph.md 10 KB
- references/paper-review.md 5.3 KB
- references/paragraph-flow.md 1.7 KB
- references/related-work.md 1.3 KB
- references/submission-package.md 7.9 KB
- static/core/output-format.md 1.8 KB
- static/core/stance.md 2.2 KB
- static/core/workflow.md 5.1 KB
- static/fragments/journal/generic.md 1.1 KB
- static/fragments/journal/nat-comms.md 3.1 KB
- static/fragments/journal/nat-mach-intell.md 5.9 KB
- static/fragments/journal/nature-family.md 1.2 KB
- static/fragments/journal/nature.md 2.7 KB
- static/fragments/language/en.md 1.0 KB
- static/fragments/language/zh-to-en.md 1.6 KB
- static/fragments/paper_type/algorithmic.md 1.2 KB
- static/fragments/paper_type/hypothesis.md 1.0 KB
- static/fragments/paper_type/methods.md 1.2 KB
- static/fragments/paper_type/research.md 1.3 KB
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 Changed · -14 lines · -116 tokens per session ce7c4d20329b
- 1mo ago Changed cd9a70949630
- 1mo ago First seen · 140 lines · 183 tokens per session scan A fc715aa8b2ae
nature-writing is a skill published in the GitHub repository Yuan1z0825/nature-skills (50,803 stars, last pushed 2d ago), licensed Apache-2.0. It adds 67 tokens to every session and 1,686 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 2026-08-30.
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