Agent skill · Audited from source

nature-polishing

skill · yuan1z0825/nature-skillsApache-2.0 licenceAudited 28 Oct 2026 · source 620e4b8854f2

★ 51,176pushed today
✓SAFEGrade B · 89/100 · 28 Oct 2026 · 620e4b8
51,176repo stars · whole yuan1z0825/nature-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 620e4b8854f2 and found no filesystem, network or shell access and no hard-coded secrets. What it does: 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…

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Cite this page

ModelsAtlas. “nature-polishing (yuan1z0825/nature-skills)”. Retrieved 28 Oct 2026. https://modelsatlas.com/skills/yuan1z0825/nature-polishing

Trust audit

Audit 0.4.1 · source read 28 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 13,985 of 14,816 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 620e4b8854f2 · 28 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-polishingThe exact folder we audited
  • LicenceApache-2.0As the repository states it
  • Commit pinned for this verdict620e4b8854f2A 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: 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…

---
name: nature-polishing
description: 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 drafting new sections or rebuilding the manuscript argument.
---

# Nature-Style Academic Polishing — Router

## Routing protocol

For a new polishing 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 (`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, failure-mode diagnosis, ethics, and output format that apply to every polish 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:

- `paper_type` — research / methods / hypothesis / algorithmic / review. Default: research.
- `section` — abstract / intro / results / discussion / conclusion / title / methods. May be multiple. Ask the user if it is ambiguous and matters for the polish.
- `language` — en or zh-to-en. Detect from the draft itself.
- `journal` — nature / nat-comms / nat-mach-intell / generic. Default:
  generic. Use `nature` only for flagship Nature, `nat-comms` for Nature
  Communications and `nat-mach-intell` for Nature Machine Intelligence (NMI).
  Do not route another Nature Portfolio title through flagship Nature rules.

State the detected axis values in one short line to the user before proceeding, 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 only if the user has supplied free-floating prose with no section context.

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

### 4. Polish using the loaded material

Apply the loaded fragments in this priority order, matching the `paper type -> section job -> paragraph logic -> claim/evidence/boundary -> sentence polish` rule from `core/failure-modes.md`:

1. Paper-type playbook (architecture, writing order).
2. Section-specific job and failure modes.
3. Journal-specific framing and constraints.
4. Language-specific sentence and paragraph rules (apply last).
5. Core stance and ethics throughout.

If a paragraph's structural problem cannot be fixed without inventing content, flag it instead of papering over it.

For Results, full-main-text compression, main-versus-SI allocation, or prose
added during revision, load `../nature-shared/core/main-text-discipline.md`
before sentence polishing. Classify each result, retain the shortest sufficient
evidence chain, and require every addition to trigger a deletion or replacement
check across the affected paragraph.

For flagship Nature, Nature Communications, Nature Machine Intelligence, or
another Nature Portfolio title, load the matching shared Nature-style corpus
guidance:

- 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`

Preserve claim escalation, the fast question funnel, Introduction–Results
alignment, discovery-centred abstract compression, evidence-bound local
interpretation, and cross-Results synthesis. These defaults were initially
distilled from published NMI papers; treat them as corpus-derived guidance, not
official policy, and obey the target journal's current rules when they differ.

For any Discussion polish or restructuring job, also load
`../nature-shared/core/discussion-argument-language.md`. Use its function labels
to remove Results replay, repair the movement from specific findings to bounded
implications, calibrate modal and reporting verbs to evidence strength, and make
limitations and future work resolve named claim boundaries. Treat it as general
writing guidance, not journal policy.

### 5. Reach for references only when needed

The files under `references/` are deep references, not defaults. Open them on demand per the `references.on_demand` table in the manifest, for example when the user explicitly asks for phrasebank-style alternatives or a stricter style audit.

When the target is Nature Machine Intelligence and exact limits, availability
sections, conference-extension disclosure or production checks affect the
revision, load
`../nature-shared/journal-formats/nature-machine-intelligence.md`.

For a whole-manuscript consistency audit or evidence of drift across passages, load `../nature-shared/core/consistency-sweep.md`. Local follow-up edits require checking the affected terms, numbers, and claims, not restarting a full audit solely because this is another editing round. After corrections, recheck affected occurrences and dependent claims; broaden the sweep when new discrepancies warrant it.

**Layout/typesetting (排版) requests are different.** If the user asks to fix
*placement* rather than wording — loose/sparse pages, stranded headings, figures
that don't fill the page or split across pages, "Float too large", multi-panel
arrangement, sparse Supplementary Information — skip the prose axes (paper_type,
section, language, journal) and load `references/latex-layout.md` directly. That
file is self-contained: it carries the diagnosis workflow (render → contact-sheet →
read the log), the float-glue and `[H]`/`\clearpage`/`placeins` patterns, and the
"regenerate wide figures taller at the source" rule. Always compile and visually
inspect rendered pages before and after — never judge

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 620e4b8

Download folder ↗
git clone https://github.com/yuan1z0825/nature-skills
git -C nature-skills checkout 620e4b8854f2

The author documents no install command, so this uses the repository directly. Our verdict covers commit 620e4b8854f2 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 620e4b8854f2

README badge

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ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Questions about nature-polishing

What does the nature-polishing skill do?
符合nature论文学术表达和科研绘图的Skill
Is nature-polishing 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-polishing 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 (620e4b8854f2), read on 2026-10-28. The repository is watched, and a new audit runs when it changes — this is the first audit.

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