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-citationgit 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-citation)<a href="https://agentmods.dev/skills/yuan1z0825/nature-skills/nature-citation"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-citation/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-citation"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-citation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 54 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00236 | $0.01070 |
| Opus 5 | $0.00118 | $0.00535 |
| Sonnet 5 | $0.00047 | $0.00214 |
| Haiku 4.5 | $0.00024 | $0.00107 |
Grade A, and why
nature-citation 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature Citation — Router
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (core principles and scope, the Chinese-user operating mode, and the citation workflow). - A dynamic layer (this file plus
manifest.yaml) that loads the core every time and reaches for heavier material only when a step needs it.
Do not try to apply the citation logic from memory or from this router. Always load fragments from disk as described below.
Routing protocol
Follow these four steps every time the skill is invoked.
1. Load the manifest and the core layer
Read manifest.yaml. Then read every file listed under always_load:
static/core/principles.md— what the skill produces, the strict journal scope, the source hierarchy, and the search-quality rules.static/core/chinese-mode.md— how to operate when the user writes in Chinese or asks forNature系列/CNS及子刊style support.static/core/workflow.md— the seven-step workflow and the final report format.
2. No content axis — confirm scope and language inline
Unlike the other nature-* skills, nature-citation has no fragment axis. Its variation is runtime parameters, not different content bodies:
- journal scope —
Nature系列/CNS/CNS及子刊/ flagship-only. Read it from the user's wording (seecore/principles.md) and pass it to the script as--scope. - user language — if the user writes Chinese, follow
core/chinese-mode.md(Chinese notes, English search queries). - input length — if there are more than ~10 segments, switch to the batched long-article strategy in
references/script-usage.md.
State the detected scope and date limits in one short line before searching.
3. Run the workflow
Follow the seven steps in core/workflow.md: segment, parse, search, evaluate support conservatively, validate complete structured author metadata, export one reference-manager file, generate review artifacts when useful, and report with the HTML browser path first. Prefer scripts/nature_citation.py for the search/export when internet access is available; open references/script-usage.md for its full flag list and the long-article batch strategy. When DOI metadata lacks given names, refetch the record by PMID or verify it against the publisher rather than exporting surname-only AU fields.
What ships with it
14 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 230 B
- evals/evals.json 1.8 KB
- manifest.yaml 1.6 KB
- README_EN.md 2.2 KB
- README.md 2.1 KB
- references/journal-scope.md 2.1 KB
- references/ris-endnote.md 3.7 KB
- references/script-usage.md 4.2 KB
- references/search-strategy.md 2.9 KB
- scripts/nature_citation.py 84 KB runs code
- static/core/chinese-mode.md 767 B
- static/core/principles.md 3.0 KB
- static/core/workflow.md 6.2 KB
- tests/test_author_exports.py 7.2 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 · 71 lines · 236 tokens per session scan A ada5720816a4
nature-citation is a skill published in the GitHub repository Yuan1z0825/nature-skills (40,913 stars, last pushed 2d ago), licensed Apache-2.0. It adds 236 tokens to every session and 1,070 once invoked, about $0.0012 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…