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-readergit 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-reader)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/nature-reader"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/nature-reader/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-reader"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/nature-reader.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 | $0.00116 | $0.02356 |
| Opus 5.5 | $0.00046 | $0.00942 |
| Sonnet 5.5 | $0.00023 | $0.00471 |
| Haiku 4.5 | $0.00012 | $0.00236 |
Grade A, and why
nature-reader 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-reader — 97% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full-Paper Markdown Reader
Use this skill to turn a research paper into a complete Markdown reading artifact.
The default output should read like a bilingual paper companion, not a summary dump:
- keep the extractable prose, paragraph structure, and section flow
- show original text and Chinese translation together at block level
- extract figures and tables as assets and place them at the first substantive mention or interpretation point
- keep captions attached to figures/tables with English caption text and Chinese caption translation
- preserve stable page and block anchors for traceability
- write a complete
paper.mdby default, plussource_map.json,translation_notes.md, andassets/
This skill is for papers, preprints, and conference proceedings across disciplines. It is not limited to Nature-family journals.
When to use
Use this skill when the user wants any of the following:
- translate an entire paper into a complete Markdown document
- make a paper easier to read without losing the original wording
- generate a full-paper reading file with original/translation alignment
- keep figures or tables visually close to the claims they support
- preserve exact source locations for every substantive block
- build a source-grounded markdown artifact rather than a slide deck or short summary
If the user only wants a summary, use a summarization skill instead. If the user only wants citation search, use a citation skill instead.
Non-negotiable defaults
When the user asks for paper translation, reading, nature-reader, 中英文对照, 原文对照, 全文翻译, or 翻译解读, produce a paragraph-level bilingual reader by default.
Do not replace the reader with:
- a Chinese-only summary
- a paper review without original/translation alignment
- figure captions without figure/table crops
- a list of key points detached from source locations
- only the abstract, introduction, or selected highlights
If constraints prevent full processing, still create a draft reader and clearly label missing pages, missing figures/tables, untranslated blocks, or low-confidence OCR/crops in translation_notes.md.
What ships with it
15 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.
- evals/evals.json 1.7 KB
- manifest.yaml 2.0 KB
- README.md 1.2 KB
- references/article-anatomy.md 3.3 KB
- references/figure-extraction.md 2.0 KB
- references/grounding-rules.md 1.9 KB
- references/output-spec.md 3.7 KB
- static/core/output-contract.md 1.2 KB
- static/core/principles.md 2.9 KB
- static/core/workflow.md 4.0 KB
- static/fragments/source/doi-arxiv.md 1.1 KB
- static/fragments/source/html.md 1011 B
- static/fragments/source/pasted-text.md 1.0 KB
- static/fragments/source/pdf-text.md 863 B
- static/fragments/source/scanned-pdf.md 899 B
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 · 257 lines · 116 tokens per session scan A 8ecf3f7cda6b
nature-reader is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (75 stars, last pushed today), licensed MIT. It adds 116 tokens to every session and 2,356 once invoked, about $0.0005 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.