Meta-model-agent Math Modeling Pipeline
WuXinbo-bo/Math-model-skills
Runs a staged pipeline for mathematical modeling research and contest papers, from problem analysis and computation to paper writing, review rounds and submission checks.
Drafts or audits data and code availability statements, dataset access routes, repository plans and FAIR metadata for Nature-style manuscripts.
Install Nature Data Availability
$ npx skills add Yuan1z0825/nature-skills --skill nature-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-data --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nature-data .claude/skills/nature-data && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "nature-data" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-data into .claude/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-dataType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Yuan1z0825/nature-skills --skill nature-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nature-data .agents/skills/nature-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nature-data" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-data into .agents/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Yuan1z0825/nature-skills --skill nature-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nature-data .cursor/skills/nature-data && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nature-data" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-data into .cursor/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Yuan1z0825/nature-skills.git --path skills/nature-data--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Yuan1z0825/nature-skills --skill nature-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nature-data .gemini/skills/nature-data && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nature-data" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-data into .gemini/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Yuan1z0825/nature-skills nature-dataInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Yuan1z0825/nature-skills --skill nature-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nature-data .github/skills/nature-data && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nature-data" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-data into .github/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Yuan1z0825/nature-skills --skill nature-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nature-data .opencode/skills/nature-data && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nature-data" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-data into .opencode/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
nature-data- GitHub stars
- 47k
- Token cost
- ~957 tokens
- SKILL.md length
- 430 words
- Files
- 15 (incl. references)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Drafts or audits data and code availability statements, dataset access routes, repository plans and FAIR metadata for Nature-style manuscripts.
- Works in 4 steps: Load the manifest and the core layer → No content axis — confirm journal and… → Run the workflow → …
- Writing a data availability statement for a manuscript
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Auditing an existing statement before submission
What it does
The skill works as a router. It reads manifest.yaml and the always-loaded core files, one covering stance and the source hierarchy and one holding an eight-step workflow with the output format. There is no content axis: journal instructions, the access route for each dataset and the user's language are handled at run time. If you write in Chinese, a Chinese-mode file is read and a Chinese check block is added unless you asked for statement text only.
The eight steps are to identify the journal, inventory every supporting dataset, classify each into one access route (public repository, controlled access, within paper, reused public, third-party restricted, justified request or not applicable), choose a repository and identifier strategy before drafting, draft the statement with an explicit dataset-to-location mapping, add formal dataset citations, run a FAIR and metadata audit, and return ready-to-paste text with unresolved fields.
A wording edit or audit of one existing statement skips the full dataset inventory. The skill never invents DOIs, accession numbers, repository names, licences, embargo dates or approvals, and it treats available upon request as weak unless a specific legal, ethical, commercial or third-party restriction applies.
When your agent uses it
- Writing a data availability statement for a manuscript
- Auditing an existing statement before submission
- Choosing a repository and identifier plan for datasets
- Checking FAIR metadata and dataset citations
Example prompts
- “Draft a data and code availability statement for our Nature Communications submission.”
- “Audit this data availability statement and flag weak phrases like available upon request.”
- “Which repository should we use for the sequencing data and the analysis code, and how should we cite them?”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit e605b35. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Nature Data Availability loads about 957 tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 430 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Yuan1z0825/nature-skills at commit e605b35, republished under its Apache-2.0 licence (© Yuan1z0825). 430 words, ~957 tokens.
Download SKILL.mdSave it as
.claude/skills/nature-data/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.- name
- nature-data
- description
- Draft or audit manuscript Data/Code Availability statements, dataset access routes, repository plans, and FAIR metadata. Use for 数据可用性声明、数据共享、数据仓库选择 and dataset citations; not general data cleaning or statistical analysis.
- metadata.author
- Yuan1z skill, refactored into static/dynamic layers
Nature Data Availability — Router
Routing protocol
For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.
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/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 or requests Chinese guidance, read
static/core/chinese-mode.mdand add the 中文核对 block unless the user requested statement text only.
3. Run the workflow
For a wording edit or audit of one existing statement, preserve supplied repository identifiers and access conditions and check the affected claims. Report gaps relevant to that statement; do not require a full study-wide dataset inventory or repository redesign. Use the complete workflow below for a new data-sharing plan, full statement, or submission audit.
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.
Do not invent DOIs, accession numbers, repository names, licences, embargo dates, ethics approvals, access committees, or data-use conditions. Flag "available upon request" as weak unless there is a specific legal, ethical, commercial, or third-party restriction.
Show full SKILL.md (129 more words)Show less
4. Reach for references only when needed
The files under references/ are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest — for example references/policy-principles.md for the governing rules and edge cases, references/repository-and-identifiers.md for repository/accession/DOI choices, references/statement-patterns.md for ready-to-adapt statements, references/fair-metadata-checklist.md for the FAIR audit, references/chinese-author-alignment.md for Chinese wording, and references/source-basis.md to justify a rule with its official source.
When the target is the flagship journal Nature, also open
references/nature-article-requirements.md for statement placement,
mandatory-deposition routing, central-code review access, materials and
structure-file checks.
When the target is Nature Machine Intelligence, open
../nature-shared/journal-formats/nature-machine-intelligence.md. Enforce a
Data Availability statement and a separate Code availability section after
it and before references; check reviewer access, precise restrictions,
repository/identifier quality and the Software Submission Checklist for newly
developed central code.
© Yuan1z0825, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 14 other files (references) in skills/nature-data of Yuan1z0825/nature-skills.
- SKILL.md
- README.md
- README_EN.md
- agents/openai.yaml
- manifest.yaml
- references/chinese-author-alignment.md
- references/fair-metadata-checklist.md
- references/nature-article-requirements.md
- references/policy-principles.md
- references/repository-and-identifiers.md
- references/source-basis.md
- references/statement-patterns.md
- static/core/chinese-mode.md
- static/core/stance.md
- static/core/workflow.md
Open the folder on GitHubat commit e605b35
Compare with similar skills
Nature Data Availability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nature Data Availability this skillYuan1z0825/nature-skills | 47k | — | ~957 | Automated safety check: Pass | Apache-2.0 | |
| Meta-model-agent Math Modeling PipelineWuXinbo-bo/Math-model-skills | 111 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Modeling Code and Result Contractsyushui2022/MathModel-Skill | 454 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Backward Traceabilitylingzhi227/agent-research-skills | 390 | — | ~802 | Automated safety check: Pass | None | |
| LaminDB Biological Data Managementdavila7/claude-code-templates | 33k | 12 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Paper Pipeline Assemblylingzhi227/agent-research-skills | 390 | — | ~971 | Automated safety check: Pass | None |
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Related
Categories
Questions about Nature Data Availability
What does Nature Data Availability do?
Drafts or audits data and code availability statements, dataset access routes, repository plans and FAIR metadata for Nature-style manuscripts. The skill works as a router.yaml and the always-loaded core files, one covering stance and the source hierarchy and one holding an eight-step workflow with the output format.
When should I use Nature Data Availability?
Nature Data Availability fits situations like: writing a data availability statement for a manuscript; auditing an existing statement before submission; choosing a repository and identifier plan for datasets; checking FAIR metadata and dataset citations.
How do I install Nature Data Availability in Claude Code?
Run `npx skills add Yuan1z0825/nature-skills --skill nature-data -a claude-code`. Or copy the skill folder (skills/nature-data in Yuan1z0825/nature-skills) into .claude/skills/nature-data in your project. Claude Code loads it when a task matches its description.
How do I install Nature Data Availability in Codex?
Run `npx skills add Yuan1z0825/nature-skills --skill nature-data -a codex`. Or copy the skill folder (skills/nature-data in Yuan1z0825/nature-skills) into .agents/skills/nature-data in your project. Codex loads it when a task matches its description.
Can I use Nature Data Availability in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Yuan1z0825/nature-skills --skill nature-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-data, .gemini/skills/nature-data, .github/skills/nature-data and .opencode/skills/nature-data in your project.
What does Nature Data Availability need to run?
SKILL.md names no scripts, command-line tools or credentials: Nature Data Availability is instructions for the agent only.
Does Nature Data Availability access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Nature Data Availability safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Nature Data Availability use?
Nature Data Availability is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Nature Data Availability use?
About 957 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.6k tokens, read only when the agent opens those files.
What are the alternatives to Nature Data Availability?
Skills that share tags, products or a category with Nature Data Availability: Meta-model-agent Math Modeling Pipeline (WuXinbo-bo/Math-model-skills, 111 stars), Modeling Code and Result Contracts (yushui2022/MathModel-Skill, 454 stars), Backward Traceability (lingzhi227/agent-research-skills, 390 stars) and LaminDB Biological Data Management (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Nature Data Availability?
Yuan1z0825 (a GitHub user) maintains it in Yuan1z0825/nature-skills, which has 47,222 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 11, 2026.
Source: Yuan1z0825/nature-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.