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 YuanyuanMa03/academic-research-skills --skill nature-reviewergit clone --depth 1 https://github.com/YuanyuanMa03/academic-research-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/yuanyuanma03/academic-research-skills/nature-reviewer)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/nature-reviewer"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/nature-reviewer/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/yuanyuanma03/academic-research-skills/nature-reviewer"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/nature-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00184 | $0.01256 |
| Opus 5.5 | $0.00074 | $0.00502 |
| Sonnet 5.5 | $0.00037 | $0.00251 |
| Haiku 4.5 | $0.00018 | $0.00126 |
Grade A, and why
nature-reviewer 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 today.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- nature-reviewer — 94% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature Reviewer Assessment Skill
Use this skill to simulate a Nature-style reviewer assessment package from the referee
side.
This skill is for reviewer-style manuscript evaluation, not for drafting the authors'
response. If the user wants rebuttal writing, route to nature-response.
Default stance
- Ground the review only in the local source basis plus manuscript facts supplied by the user.
- Evaluate the manuscript against source-grounded axes:
originality,scientific importance,interdisciplinary readership,technical soundness, andreadability for nonspecialists. - Return exactly
3 reviewer reports + 1 cross-review synthesisunless the user explicitly asks for another structure. - The three reviewers may differ only in
emphasis; do not invent reviewer identities, specialties, institutions, or biographies. - Identify who would be interested in the results and why.
- Identify technical failings that must be addressed before the authors' case is established.
- Distinguish clearly between what is supported, what is weak, and what is not assessable from the provided material.
- Do not claim the editor's final decision or certainty about fit to
Nature.
Accepted inputs
The skill may receive:
- full manuscript draft
- abstract, summary paragraph, or cover-summary style text
- introduction, results, discussion, or methods excerpts
- figure legends, selected figures, or result notes
- author notes in Chinese or English describing the claimed contribution
- pre-submission positioning notes
If the provided material is partial, perform a bounded review and mark the assessment boundary explicitly.
Workflow
- Identify the input scope and whether the job is a reviewer-style assessment rather than rebuttal drafting.
- Extract a shared manuscript fact base: main claim, visible evidence, claimed significance, likely readership, and visible limitations.
- Check readiness and label missing evidence or missing sections instead of inventing them.
- Assess the manuscript using the source-grounded axes.
- Generate
Reviewer 1,Reviewer 2, andReviewer 3using shared facts but different emphasis. - Generate a
Cross-review synthesisthat captures consensus and weighting differences. - Run QA for groundedness, coverage, role boundaries, and non-invention.
What ships with it
8 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.
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.
- today First seen · 128 lines · 184 tokens per session scan A 86e331346aa9
nature-reviewer is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (75 stars, last pushed today), licensed MIT. It adds 184 tokens to every session and 1,256 once invoked, about $0.0007 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 2026-10-29.
Other skills, from other repositories
paper2poster-poster
Use when the user wants to turn an academic paper into a conference poster, poster outline, poster copy deck, poster layout brief, poster.yaml style draft, or Paper2Poster-ready generation package. Trigger for paper-to-poster requests involving PDF papers, arXiv links, manuscripts, PPTX posters, conference…
manuscript-optimizer
Use when auditing, restructuring, or revising a research manuscript whose scientific question, claim hierarchy, evidence chain, section logic, figures, terminology, or prose may be unclear or out of sync. Apply before sentence-level polishing, especially for whole drafts, major revisions, resubmissions, overclaiming…
review-article-architecture
Use when writing, restructuring, or auditing a Review, survey, or Perspective rather than a research article, especially a commissioned one written across many sessions. Covers the governing plan document, drift detection, single-definition thesis and field judgements, section-owns-figure allocation, display-item…
write-scientific-manuscript
Diagnose and repair the clarity and logic of manuscript prose, journal-agnostic. Use when a passage is technically correct but hard to follow: buried topic sentences, missing logical bridges, ambiguous referents, abstract noun chains, overloaded sentences, incomplete comparisons with no stated dataset or metric or…
paper-reviewer
Referee-side skill for Nature Portfolio manuscripts: write a referee report, inventory every ask and sub-ask in received comments, grade drafted replies, and test reply readability. Check methodology, statistics, reporting, reproducibility and data/code availability. Preserve referee wording, numbering and order…
figure-planner
Use when designing, restructuring, or auditing manuscript figures and you need to define one main claim per figure, assign panel roles, align legends with the text, or decide what belongs in main figures versus supplement.