Nature Skills is a collection of reusable skills that help AI agents handle academic writing and scientific visualization. Researchers and AI-assisted scholars use it to turn research tasks into repeatable workflows and usable outputs. The catalogue entries are skills from this collection.
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 Yuan1z0825/nature-skills --skill nature-paper-cardgit clone --depth 1 https://github.com/Yuan1z0825/nature-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/yuan1z0825/nature-skills/nature-paper-card)<a href="https://agentmods.dev/skills/yuan1z0825/nature-skills/nature-paper-card"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-paper-card/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/yuan1z0825/nature-skills/nature-paper-card"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-paper-card.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00179 | $0.01847 |
| Opus 5 | $0.00089 | $0.00924 |
| Sonnet 5 | $0.00036 | $0.00369 |
| Haiku 4.5 | $0.00018 | $0.00185 |
Grade A, and why
nature-paper-card 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 13d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature Paper Card - Router
Use this skill to turn one paper into an evidence-grounded research card, not a translated abstract, generic summary, reviewer report, or publication article.
The skill uses:
- a static core under
static/core/for principles, workflow, and the fixed output contract; - one paper-type fragment under
static/fragments/paper_type/; - on-demand references for evidence labels, the exact card schema, and research-idea checks.
Routing protocol
Follow these steps every time.
1. Load the manifest and core layer
Read manifest.yaml, then read every file under always_load. Do not generate the card from this router alone.
2. Establish the source boundary
Identify which material is available:
- full paper with figures and tables;
- paper text without reliable layout;
- abstract or metadata only;
- an existing
nature-readerartifact with stable source IDs.
Prefer an existing nature-reader artifact when supplied. Do not repeat full bilingual translation or figure extraction. If only partial material is available, create a visibly partial card and mark every unsupported section Not assessable from supplied material.
For a PDF or nature-reader source-map JSON, the bundled script is mandatory.
- Resolve
SKILL_DIRas the directory containing this loadedSKILL.md. - Verify
SKILL_DIR/scripts/prepare_paper.pyexists. - Run exactly the bundled script by its resolved path:
python "SKILL_DIR/scripts/prepare_paper.py" INPUT \
--output WORKDIR/source_bundle.json
Add --render-dir WORKDIR/rendered-pages when visual page review is needed. Inspect the script exit code and the bundle validation block before drafting.
For source-map input, also inspect locator_summary and unlocated_blocks. Only records under pages have verified positive PDF page locators. Missing or invalid page locators remain in unlocated_blocks with an explicit status and must be cited structurally, never as page 1.
What ships with it
20 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.
- agents/openai.yaml 244 B
- evals/evals.json 3.0 KB
- manifest.yaml 2.7 KB
- README_EN.md 4.2 KB
- README.md 3.8 KB
- references/card-schema.md 5.2 KB
- references/evidence-and-provenance.md 2.8 KB
- references/research-idea-gates.md 1.2 KB
- scripts/audit_paper_card.py 13 KB runs code
- scripts/prepare_paper.py 18 KB runs code
- static/core/output-contract.md 2.8 KB
- static/core/principles.md 2.4 KB
- static/core/workflow.md 5.5 KB
- static/fragments/paper_type/clinical.md 722 B
- static/fragments/paper_type/discovery.md 614 B
- static/fragments/paper_type/materials.md 710 B
- static/fragments/paper_type/methods.md 873 B
- static/fragments/paper_type/resource.md 837 B
- static/fragments/paper_type/review.md 764 B
- tests/test_prepare_paper.py 5.6 KB runs code
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.
- 13d ago First seen · 159 lines · 179 tokens per session scan A 9f0bc1412059
nature-paper-card is a skill published in the GitHub repository Yuan1z0825/nature-skills (40,913 stars, last pushed 2d ago), licensed Apache-2.0. It adds 179 tokens to every session and 1,847 once invoked, about $0.0009 per session on Opus 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 2026-08-30.
Other skills, from other repositories
literature-searcher
Search CrossRef, OpenAlex, PubMed, Semantic Scholar, and optional Scopus; deduplicate results, download open-access PDFs by DOI, classify papers, monitor new results, and analyze coverage. Use when asked to search literature, monitor a topic, download an open-access paper, classify papers, or analyze literature gaps.
academic-research
Search academic papers, scholarly articles, and research publications through SandBase. Use when asked for literature review, academic citations, scholarly research, paper discovery, or scientific evidence gathering.
academic-trend-research
Research emerging academic trends by combining scholarly databases, web sources, and news to identify rising research areas, breakthrough papers, and shifting scientific consensus. Ideal for R&D teams tracking frontier science.
using-cesiumjs-skills
Use when starting any conversation involving CesiumJS development - provides orientation on available domain skills and how they activate.
latex-empirical-tables
Set up, format, fix, and clean up LaTeX regression and estimation tables in empirical economics or finance papers. Use when (a) creating a .tex, results.tex, main.tex, or preamble to display regression or estimation output from Python (pyfixest), Stata, or R — including any mention of estout, esttab, estauto, estwide…
cite-placement
Place pre-screened literature citations into a LaTeX or Word manuscript, or restyle the citations already in one. Three modes: (1) inline placement — inline \cite{}/\citet{}/\citep{} with a compiled references.bib, for author-date journals (APA, MLA, Harvard, Chicago author-date, IEEE, Vancouver); (2) footnote…