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-to-patentgit 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-to-patent)<a href="https://agentmods.dev/skills/yuan1z0825/nature-skills/nature-paper-to-patent"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-paper-to-patent/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-to-patent"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-paper-to-patent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00124 | $0.01031 |
| Opus 5 | $0.00062 | $0.00515 |
| Sonnet 5 | $0.00025 | $0.00206 |
| Haiku 4.5 | $0.00012 | $0.00103 |
Grade A, and why
nature-paper-to-patent 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- nature-paper-to-patent — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper to Chinese Patent
Use this file as the router for the patent-drafting workflow. Do not draft the application directly from the paper abstract or contribution list.
1. Load the workflow
Read manifest.yaml, then read every file under always_load.
Detect these axes from the user's files and request:
source_format: selectable PDF, scanned PDF, pasted text, or mixed project;task_mode: full draft, claim set, disclosure analysis, technical disclosure, disclosure iteration, or paper-patent audit;invention_type: algorithm/software, apparatus/system, process/material, or mixed.
State the detected values in one short line. Load only the matching fragments declared in the manifest. Load detailed references only when their condition applies.
2. Preserve source grounding
Create stable source IDs before drafting:
P001...for paper text blocks;E001...for equations;F001...for source figures;C001...for source-code or supplementary evidence.
Every material feature in a formal claim must map to one or more source IDs.
Use only explicit, inherent, needs-confirmation, or unsupported as
support states. Exclude unsupported features from formal claims.
Never infer inventorship, ownership, unpublished implementation details,
publication dates, prior-art conclusions, or legal sufficiency. Use
[TO CONFIRM: specific question] outside formal claims when facts are missing.
3. Draft through stage gates
For full-draft, claim-set, disclosure-analysis, and paper-patent-audit,
complete the stages in static/core/workflow.md in order. Persist the
intermediate artifacts specified there. Do not move to formal claims until the
source map, terminology ledger, inventories, evidence ledger, and invention
concept pass their gates.
For technical-disclosure, follow the ordered prompt references in
static/fragments/task/technical-disclosure.md. For disclosure-iteration,
follow static/fragments/task/disclosure-iteration.md and preserve the prior
draft instead of restarting the formal application workflow.
What ships with it
60 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 248 B
- evals/evals.json 1.5 KB
- manifest.yaml 3.1 KB
- README_EN.md 3.3 KB
- README.md 2.9 KB
- references/cn-patent-drafting-guide.md 8.0 KB
- references/corpus-derived-patterns.md 3.5 KB
- references/corpus-pair-audit.md 2.9 KB
- references/disclosure/correction_handler.md 2.8 KB
- references/disclosure/disclosure_builder.md 12 KB
- references/disclosure/disclosure_preview.md 917 B
- references/disclosure/disclosure_self_check.md 5.9 KB
- references/disclosure/intake.md 943 B
- references/disclosure/iteration_context.md 4.3 KB
- references/disclosure/merger.md 3.4 KB
- references/disclosure/patent_points_analyzer.md 951 B
- references/disclosure/patent-disclosure-skill-MIT-LICENSE.txt 1.0 KB
- references/disclosure/prior_art_search.md 10 KB
- references/disclosure/project_scan.md 3.6 KB
- references/disclosure/template_reference.md 9.2 KB
- references/disclosure/tooling.md 16 KB
- references/draft-schema.md 9.0 KB
- references/patent-figure-guide.md 2.9 KB
- requirements.txt 121 B
- scripts/audit_claims.py 5.6 KB runs code
- scripts/build_patent_package.py 6.5 KB runs code
- scripts/disclosure/cnipa_epub_crawler.py 11 KB runs code
- scripts/disclosure/cnipa_epub_parse.py 8.6 KB runs code
- scripts/disclosure/cnipa_epub_search.py 5.8 KB runs code
- scripts/disclosure/docx_to_md.py 3.7 KB runs code
- scripts/disclosure/iteration_dialog_log.py 3.2 KB runs code
- scripts/disclosure/math_render.py 13 KB runs code
- scripts/disclosure/md_to_docx.py 32 KB runs code
- scripts/disclosure/mermaid_render.py 15 KB runs code
- scripts/disclosure/package-lock.json 84 KB
- scripts/disclosure/package.json 279 B
- scripts/disclosure/pptx_to_md.py 4.9 KB runs code
- scripts/disclosure/requirements-cnipa.txt 172 B
- scripts/extract_pdf_text.py 2.3 KB runs code
- scripts/init_patent_project.py 3.1 KB runs code
- scripts/math_to_omml.py 4.8 KB runs code
- scripts/render_flowchart_svg.py 14 KB runs code
- scripts/render_patent_docx.py 10 KB runs code
- scripts/validate_patent_draft.py 14 KB runs code
- static/core/output-contract.md 2.0 KB
- static/core/principles.md 1016 B
- static/core/workflow.md 3.8 KB
- static/fragments/invention/algorithm-software.md 366 B
- static/fragments/invention/apparatus-system.md 288 B
- static/fragments/invention/mixed.md 255 B
- static/fragments/invention/process-material.md 278 B
- static/fragments/source/mixed-project.md 369 B
- static/fragments/source/pasted-text.md 316 B
- static/fragments/source/pdf-text.md 290 B
- static/fragments/source/scanned-pdf.md 272 B
- static/fragments/task/claim-set.md 249 B
- static/fragments/task/disclosure-analysis.md 236 B
- static/fragments/task/disclosure-iteration.md 1005 B
- static/fragments/task/full-draft.md 247 B
- static/fragments/task/paper-patent-audit.md 280 B
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 · 106 lines · 124 tokens per session scan A 1a57ae613bb5
nature-paper-to-patent is a skill published in the GitHub repository Yuan1z0825/nature-skills (40,913 stars, last pushed 2d ago), licensed Apache-2.0. It adds 124 tokens to every session and 1,031 once invoked, about $0.0006 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.
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