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 yniantongtian-oss/nature-skills --skill nature-datagit clone --depth 1 https://github.com/yniantongtian-oss/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/yniantongtian-oss/nature-skills/nature-data)<a href="https://agentmods.dev/skills/yniantongtian-oss/nature-skills/nature-data"><img src="https://agentmods.dev/badge/skills/yniantongtian-oss/nature-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/yniantongtian-oss/nature-skills/nature-data"><img src="https://agentmods.dev/badge/skills/yniantongtian-oss/nature-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 | $0.00878 |
| Opus 5 | $0.00045 | $0.00439 |
| Sonnet 5 | $0.00018 | $0.00176 |
| Haiku 4.5 | $0.00009 | $0.00088 |
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
94% identical to nature-data — 20 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature Data Availability — Router
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (the default stance and source hierarchy, the Chinese-user operating mode, and the workflow with output format). - A dynamic layer (this file plus
manifest.yaml) that loads the core every time and reaches for the deeper policy/repository/FAIR references only when a step needs them.
Do not try to apply the data-availability 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/stance.md— what the data-availability package is, the default stance, and the source hierarchy.static/core/chinese-mode.md— how to operate when the user writes in Chinese (accept Chinese, draft English, convert terms precisely).static/core/workflow.md— the eight-step workflow and the output format.
2. No content axis — confirm journal and language inline
Unlike nature-writing or nature-figure, nature-data has no fragment axis. Its variation is handled at runtime, not by loading different content bodies:
- journal/article type — if journal-specific instructions conflict with this skill, follow the journal.
- access route — each dataset is classified into one route (public repository, controlled access, within paper, reused public, third-party restricted, justified request, or not applicable).
- user language — if the user writes Chinese, follow
core/chinese-mode.mdand add the 中文核对 block.
3. Run the workflow
Follow the eight-step workflow in core/workflow.md: identify the journal, inventory every supporting dataset, classify each into one access route, choose repository and identifier strategy before drafting, draft the statement with explicit dataset-to-location mapping, add formal dataset citations, run the FAIR/metadata audit, and return ready-to-paste text plus unresolved fields.
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 3.3 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 · 59 lines · 90 tokens per session scan A 6341dd180bc7
nature-data is a skill published in the GitHub repository yniantongtian-oss/nature-skills (24 stars, last pushed 3mo ago), licensed MIT. It adds 90 tokens to every session and 878 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to nature-data, differing in 20 lines, and is treated as a copy.
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