What is nature-paper-to-patent?

A workflow for converting scientific papers, theses, technical reports, source code, figures, or research notes into evidence-based Chinese patent drafts and technical disclosure documents. A technical disclosure document records an invention’s details for a patent attorney.

Use it to identify possible inventions, draft claims or technical disclosures, and review whether a paper or software project supports a patent description.

It helps connect proposed patent claims to specific source material and separates supported details from items that still need confirmation.

nature-paper-to-patent — Skill for Claude Code and Codex by hamzabello

Install

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.

Any agent

npx skills add hamzabellouch/agent-skills --skill academic-nature-nature-paper-to-patent

Clone the repo

git clone --depth 1 https://github.com/hamzabellouch/agent-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-nature-nature-paper-to-patent/github.svg)](https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-nature-nature-paper-to-patent)

Your own site

<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-nature-nature-paper-to-patent"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-nature-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-nature-nature-paper-to-patent"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-nature-nature-paper-to-patent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,031 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

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

Measured 9d ago against content hash 1a57ae613bb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 9d ago.

The scan reads SKILL.md. This mod also ships 17 executable files (scripts/audit_claims.py, scripts/build_patent_package.py, scripts/disclosure/cnipa_epub_crawler.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to nature-paper-to-patent — 0 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.

Academic and Scientific Research/academic-nature-nature-paper-to-patent/SKILL.md · 106 lines

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.

Read the full file on GitHub · 106 lines

Files

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.

Changes

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.

9d ago First seen · 106 lines · 124 tokens per session scan A 1a57ae613bb5

Subscribe to this mod's changes

nature-paper-to-patent is a skill published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. 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. It is 100% identical to nature-paper-to-patent, differing in 0 lines, and is treated as a copy.

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