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Agent skill · Audited from source

nature-writing

skill · yuan1z0825/nature-skillsApache-2.0 licenceAudited 31 Oct 2026 · source c5a4a9d64275

★ 51,590pushed today
✓SAFEGrade B · 89/100 · 31 Oct 2026 · c5a4a9d
51,590repo stars · whole yuan1z0825/nature-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit c5a4a9d64275 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Draft or restructure scientific manuscript arguments, sections, and initial-submission materials from author-provided evidence. Use for 论文写作、章节起草、论证重构、正文压缩、首次投稿材料. Use nature-polishing for language-only edits to…

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Cite this page

ModelsAtlas. “nature-writing (yuan1z0825/nature-skills)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/yuan1z0825/nature-writing

Trust audit

Audit 0.4.1 · source read 31 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha c5a4a9d64275 · 31 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisheryuan1z0825 GitHub userOwner of the repository this skill is read from
  • Source folderyuan1z0825/nature-skills/skills/nature-writingThe exact folder we audited
  • LicenceApache-2.0As the repository states it
  • Commit pinned for this verdictc5a4a9d64275A new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Draft or restructure scientific manuscript arguments, sections, and initial-submission materials from author-provided evidence. Use for 论文写作、章节起草、论证重构、正文压缩、首次投稿材料. Use nature-polishing for language-only edits to…

---
name: nature-writing
description: Draft or restructure scientific manuscript arguments, sections, and initial-submission materials from author-provided evidence. Use for 论文写作、章节起草、论证重构、正文压缩、首次投稿材料. Use nature-polishing for language-only edits to existing prose and nature-response for post-decision correspondence.
---

# 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](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 / nature-family / nat-comms / nat-mach-intell / generic.
  Default: generic. Use `nature` only for the flagship journal Nature,
  `nat-comms` for Nature Communications, `nat-mach-intell` for Nature Machine
  Intelligence (NMI), and `nature-family` for 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.

Do **not** read every fragment in `static/`. Load only what step 2 selected.

### 4. Draft using the loaded material

Apply the loaded fragments in this priority order:

1. Core stance + intake (`core/stance.md`) — surface missing claim / evidence / boundary before drafting.
2. Paper-type playbook — argument chain, drafting order.
3. Section-specific drafting rules and structure.
4. Task-specific submission rules when `task=submission-package`.
5. Journal-specific framing and constraints.
6. Language-specific sentence and paragraph rules (apply last).

For `task=manuscript`, use `core/workflow.md` at the requested scale. Plan the argument for a new section or substantial restructuring; a title, single paragraph, or local follow-up needs only the applicable evidence, wording, and consistency checks. Complete the requested prose unless a material unresolved decision blocks it or the user requested an outline for approval first.

When drafting or restructuring Results, or compressing a full manuscript's main
text, also load `../nature-shared/core/main-text-discipline.md` before building
the paragraph map. Classify every result by function, allocate it across main
text, captions, Methods/source data, and SI, then draft the shortest sufficient
evidence chain. Do not equate a complete analysis record with a complete main
text.

When the target is flagship Nature, Nature Communications, Nature Machine
Intelligence, or another Nature Portfolio title, load the matching shared
Nature-style corpus guidance for the section being drafted:

- Results or Discussion →
  `../nature-shared/core/nature-results-discussion.md`
- Introduction or whole-manuscript narrative →
  `../nature-shared/core/nature-introduction.md`
- Abstract → `../nature-shared/core/nature-abstract.md`

Use these files for claim escalation, question-chain alignment,
discovery-centred compression, and synthesis. They were initially distilled
from published NMI papers and generalized as Nature-style defaults; do not
present them as official policy, and let the target journal's current rules
override them.

For any Discussion drafting, restructuring, or section audit, also load
`../nature-shared/core/discussion-argument-language.md`. Use it to select the
opening anchor, control the reverse-funnel expansion, distinguish literature
positioning from citation decoration, calibrate modal strength to evidence,
and turn limitations and future work into claim-specific reasoning. This is
general writing guidance rather than an official journal rule.

For `task=submission-package`, follow `static/fragments/task/submission-package.md` and `references/submission-package.md` instead. Build the deliverable matrix and readiness audit; do not force manuscript paragraph architecture onto administrative submission materials.

If essential evidence or boundary is missing, write a placeholder and list it under `Assumptions or missing inputs:` instead of inventing content.

### 5. Reach for references only when needed

The files under `references/` are deep references and the example library, not defaults. Open them on demand per the `references.on_demand` table in the manifest. Typical triggers:

- The user asks for a concrete example or template → `references/examples/index.md`.
- A section's draft has structural problems that the section fragment alone does not explain → the matching `references/<section>.md`.
- The user needs a broad-audience `Nature` abstract opening or asks about a `summary paragraph` → `references/nature-summary-paragraph.md`.
- The user asks "does this paragraph flow

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit c5a4a9d

Download folder ↗
git clone https://github.com/yuan1z0825/nature-skills
git -C nature-skills checkout c5a4a9d64275

The author documents no install command, so this uses the repository directly. Our verdict covers commit c5a4a9d64275 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source c5a4a9d64275

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/yuan1z0825/nature-writing/badge.svg)](https://modelsatlas.com/skills/yuan1z0825/nature-writing/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

nature-shared!CAUTION

yuan1z0825/nature-skills

Internal shared-reference support package for installed Nature Skills, including nature-writing, nature-polishing, nature-response, nature-reader, and nature-paper2ppt. Do not invoke it as a standalone user workflow.…

★ 52kGrade B
nature-response✓SAFE

yuan1z0825/nature-skills

Draft, audit, or revise responses to peer review, revision cover letters, and marked-manuscript or LaTeX revision packages. Use for 审稿意见回复、逐点回复、返修信、 rebuttals and edits to existing response drafts. Initial-submission…

★ 52kGrade B
nature-reviewer✓SAFE

yuan1z0825/nature-skills

Provide evidence-grounded mock peer review of scientific manuscripts or excerpts, covering significance, validity, and major/minor concerns. Use for 模拟审稿、投稿前自审、审稿人视角评估; not author rebuttal drafting.

★ 52kGrade B
nature-ref-verifier✓SAFE

yuan1z0825/nature-skills

对学术文献逐条执行多源交叉验证,逐字段对比作者、标题、年份、卷期、页码, 标记卷年/DOI年冲突、作者顺序异常、页码偏差等问题,输出结构化验证报告。 可批量处理整篇论文/开题报告的参考文献列表,也可单条校验,支持与 Zotero 同步修正。

★ 51kGrade B
nature-reader✓SAFE

yuan1z0825/nature-skills

Create source-grounded Chinese-English paper readers with aligned text, figures, tables, and equations. Use for 全文翻译、中英文对照、论文精读 or source-linked questions about a paper; respect a requested excerpt or question without…

★ 51kGrade B
nature-polishing✓SAFE

yuan1z0825/nature-skills

Polish, translate, or tighten existing academic prose while preserving facts, terminology, and evidence boundaries. Use for 论文润色、学术翻译、正文精简, or manuscript LaTeX layout fixes. Use nature-writing when the main task is…

★ 51kGrade B

Add this badge to your README

[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/yuan1z0825/nature-writing/badge.svg)](https://modelsatlas.com/skills/yuan1z0825/nature-writing/)

Questions about nature-writing

What does the nature-writing skill do?
符合nature论文学术表达和科研绘图的Skill
Is nature-writing safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can nature-writing access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (c5a4a9d64275), read on 2026-10-31. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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