nature-writing

nature-writing is an Academic writing & papers skill for AI agents, published by Yuan1z0825 in the nature-skills repository on GitHub. Skillspace rates nature-writing C (74/100) and it passed the safety scan; a judge model has also reviewed it.

Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use when the user wants to write or rebuild an abstract, introduction, related-work, method, experiments, discussion, conclusion, title, full manuscript argument, pre-submission cover letter, title page, highlights, author-contribution statement, availability/declaration text, reviewer suggestions, or a complete initial submission package rather than only polish finished prose. Also trigger on general academic-writing and first-submission requests such as writing a paper from scratch, drafting a manuscript/section, structuring a paper, submission package, 投稿材料、首次投稿、投稿前 cover letter、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
28,910

Placed #2 of 6 in the judged category final for Academic writing & papers.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
99 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 2 collections
Scope
Portable: works in any project. General academic manuscript writing and submission guidance

Judge review

Placed #2 of 6 in the judged category final for Academic writing & papers.

  • Trigger9292
  • Instructions9292
  • Specificity7676
  • Safety8585
  • Disclosure9595
  • Maintenance9090
An exceptionally clear five-step manifest router with explicit sibling-skill boundaries and a no-fabrication placeholder rule, though the router itself is light on concrete drafting detail since that lives in unseen fragments.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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