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/nature-article-writer

@3323bc9
Run it yourself

Draft, revise, or critique a primary-research manuscript for a specifically chosen Nature or Nature Portfolio journal, or deliberately develop that broad-reader scientific style. Ground claims in the supplied results and calibrate journal requirements separately. Do not impose this journal style on generic documentation, reviews, press releases, or unrelated writing.

Use this Skill: https://skilld.dev/gh/tristanmanchester/agent-skills/nature-article-writer

Nothing lands on disk. Nothing to clean up.

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Edit a local copy. It keeps the author and licence.

referencessection-rubric.md

≈1.7k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Section rubric

Use this file when drafting or repairing specific sections. For each section, first ask what job it must perform. Then repair whichever part of the section prevents it from doing that job.

Title

Job

Make the paper legible, searchable, and credible in one line.

It succeeds when

  • an adjacent-field scientist can infer what the paper is about
  • the title names the right entity, process, system, or intervention
  • the claim is neither mushy nor overstated

Common failure modes

  • too much mechanism packed into one line
  • a generality with no identifiable subject
  • promotional adjectives doing the work of evidence
  • excessive punctuation or a two-part slogan structure

Repair moves

  • cut the weakest noun phrase
  • replace evaluative adjectives with the actual object or process
  • move from "what this means" back to "what this paper shows"

Summary paragraph or abstract

Job

Orient a broad reader, define the gap, state the principal answer, and end on the nearest real implication.

It succeeds when

  • the first lines give a reader enough footing to care
  • the gap is specific, not just "little is known"
  • the main finding is stated once, plainly
  • the last sentence names an implication that truly follows

Common failure modes

  • starts too narrowly
  • sounds like a compressed Results section
  • too many numbers or acronyms
  • final sentence leaps into unsupported future claims

Repair moves

  • widen the first two sentences
  • name the specific unresolved issue
  • strip out non-load-bearing numeric detail
  • replace general importance claims with the exact consequence of the result

Introduction or opening

Job

Move from field context to the paper's problem and promise without becoming a literature dump.

It succeeds when

  • readers know why the problem matters
  • the exact unresolved issue is named
  • the paper's response feels necessary and proportionate

Common failure modes

  • mini-review sprawl
  • a gap framed so broadly that any paper could fill it
  • final paragraph that merely repeats the abstract
  • transition sentences that say "however" without sharpening the problem

Repair moves

  • cut citations and background that do not set up the problem
  • replace generic "however" moves with the actual unresolved point
  • end with what the paper does and why that design can answer the question

Results

Job

Carry the reader through the evidence in the order needed to support the paper's central claim.

It succeeds when

  • each subsection answers a question
  • each paragraph earns its place in the argument
  • interpretation is separated from observation
  • the reader always knows why the next figure matters

Common failure modes

  • chronological lab notebook structure
  • paragraphs that narrate procedures rather than findings
  • every sentence starts from "we"
  • excessive number dumping
  • figure captions transplanted into prose

Repair moves

  • reorganise by conceptual dependency
  • start subsections with the question they answer
  • keep only the numbers that alter interpretation
  • end paragraphs on the finding that enables the next step

Discussion

Job

State what the work establishes, what it suggests, and where its scope ends.

It succeeds when

  • the main conclusion is re-stated with better perspective, not just repeated
  • competing explanations or limitations are acknowledged
  • implications are scaled to the evidence
  • the ending leaves the reader with a precise field-level consequence

Common failure modes

  • generic "these findings highlight the importance of" ending
  • sudden new literature review
  • limit-free victory lap
  • future-work paragraph with no real synthesis

Repair moves

  • identify the strongest limitation and address it directly
  • replace generic significance language with specific consequences
  • separate what is proved, supported, and still unresolved

Methods

Job

Give the reader the details that govern interpretability and reproducibility.

It succeeds when

  • the reader can see what was measured, how, on what, and under what rules
  • statistical and preprocessing choices are explicit
  • software, pipelines, exclusion rules, and sample definitions are clear where material

Common failure modes

  • beautiful prose but missing operational detail
  • result-critical decisions buried in supplement-only material
  • vague "standard methods were used" wording
  • statistical analysis described only in slogans

Repair moves

  • add the information a sceptical reader would need to judge the claim
  • separate acquisition, preprocessing, modelling, and statistics
  • name software versions and parameters when they affect interpretation

Figure legends

Job

Let the reader understand the figure without searching the main text for basic decoding.

It succeeds when

  • the legend starts with a short title sentence
  • panels are described in order
  • sample size, statistics, centre values, and error bars are defined where relevant
  • specialised symbols are explained

Common failure modes

  • legend begins directly with panel letters and no framing
  • no statistical definitions
  • half the information is hidden in the Methods
  • verbose retelling of the main text

Repair moves

  • add a title sentence naming the figure's point
  • define symbols and statistics explicitly
  • keep only the minimal methodological detail needed to read the figure correctly

Data Availability

Job

Tell readers where the underlying data are and how they can obtain them.

It succeeds when

  • a repository, accession, or access condition is named
  • restrictions are explained, not obscured

Common failure modes

  • vague "available upon request"
  • statement absent entirely
  • multiple data types mixed together without clarity

Repair moves

  • separate public deposition from controlled access
  • say what is already deposited and what will be released on acceptance if that is the case
  • use placeholders rather than making anything up

Code Availability

Job

Tell readers whether custom code exists, where it is, and under what conditions it can be accessed.

It succeeds when

  • custom analysis or modelling code is mentioned when central
  • repository or access condition is stated
  • versioning or release timing is clear where relevant

Cover letter or presubmission enquiry

Job

Help an editor see fit, importance, and evidential strength quickly.

It succeeds when

  • it reads like an editor memo, not a reheated abstract
  • it explains why the paper belongs in this journal rather than in science generally
  • it names the main evidential reasons to trust the claim

Common failure modes

  • abstract pasted into letter form
  • overclaiming without editorial fit logic
  • no mention of scope or limitations

Repair moves

  • write for a time-poor editor
  • make the fit argument explicit
  • state what the paper is not claiming

Source: SKILL.md on GitHub

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

1 warning1mo3 checks · Risk MEDIUM
  • Gen Agent Trust Hub1mo

    The skill helps users draft scientific manuscripts for Nature Portfolio journals. It contains deceptive metadata claiming the author is OpenAI, which misrepresents its source. It also processes external drafts and notes without isolation boundaries, creating an indirect prompt injection surface, and directs the agent to execute shell commands to run provided Python diagnostic scripts.

  • Socket1mo

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  • Snyk1mo

    Risk: LOW · No issues

Signed by skilld at 3323bc9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

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metadata
{
  "version": "3.0.0",
  "reviewed": "2026-09-13"
}
Other metadata
compatibility
File read/write access for drafts; Python 3.10+ for optional local checks. Current journal requirements need their official guide or a supplied dated copy. The checker accepts UTF-8 text/ATX Markdown, not PDF, Word, or LaTeX directly.

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