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-datagit 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-data)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/nature-data"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/nature-data/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-data"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/nature-data.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 | $0.00090 | $0.01292 |
| Opus 5 | $0.00045 | $0.00646 |
| Sonnet 5 | $0.00018 | $0.00258 |
| Haiku 4.5 | $0.00009 | $0.00129 |
Grade A, and why
nature-data 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 12d 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.
This is a copy
98% identical to nature-data — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature Data Availability Skill
Use this skill to turn a manuscript's supporting data into a transparent, Nature-ready data availability package: statement text, repository plan, dataset citations, and missing-information flags.
The governing policy layer is Springer Nature / Nature Portfolio data policy. The implementation layer is FAIR data practice and DataCite-style citation metadata.
Chinese-user operating mode
When the user writes in Chinese, provides a Chinese manuscript note, or asks for "中文对应", "中英对照", "数据可用性声明", "数据获取声明", "原始数据", "数据存储库", or "受限数据":
- Accept Chinese input naturally, but draft the final submission-ready statement in English unless the user explicitly asks for Chinese only.
- Preserve a short Chinese explanation of unresolved decisions when it helps the author act.
- Translate intent, not wording. Chinese phrases such as "可向通讯作者索取" are usually too vague for Nature-style English unless the restriction and access process are specified.
- Convert Chinese repository/status descriptions into precise publication terms:
数据可用性声明->Data Availability;原始数据->raw data;处理后数据->processed data;源数据->source data;补充材料->Supplementary Information;受限数据->restricted data;合理请求->reasonable request, only with reason and review route. - Use
references/chinese-author-alignment.mdfor Chinese terminology, common CN-to-EN failure modes, and bilingual intake questions.
Default stance
- Treat the Data Availability statement as a link between the paper's claims and the evidence needed to inspect, reproduce, or reuse them.
- Do not invent DOIs, accession numbers, repository names, licences, embargo dates, ethics approvals, access committees, or data-use conditions.
- Prefer public, discipline-specific repositories. Use generalist or institutional repositories only when no suitable community repository exists.
- Describe both newly generated data and reused third-party data.
- If data cannot be openly shared, state why, who controls access, how requests are evaluated, and what metadata or representative data can still be public.
- Separate data, code, materials, and protocols unless the journal asks for a combined availability section.
- Keep this skill focused on availability and metadata. Do not rewrite methods, analyze statistics, or polish the manuscript unless the user asks for those tasks separately.
- Flag "available upon request" as weak unless there is a specific legal, ethical, commercial, or third-party restriction.
What ships with it
12 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 270 B
- manifest.yaml 1.7 KB
- README.md 3.1 KB
- references/chinese-author-alignment.md 4.9 KB
- references/fair-metadata-checklist.md 4.0 KB
- references/policy-principles.md 5.2 KB
- references/repository-and-identifiers.md 4.3 KB
- references/source-basis.md 5.3 KB
- references/statement-patterns.md 7.0 KB
- static/core/chinese-mode.md 1.2 KB
- static/core/stance.md 1.9 KB
- static/core/workflow.md 1.5 KB
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.
- 12d ago First seen · 120 lines · 90 tokens per session scan A f14fff4abe44
nature-data is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 90 tokens to every session and 1,292 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to nature-data, differing in 2 lines, and is treated as a copy.
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venue-templates
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