paper-to-cn-patent

paper-to-cn-patent is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 75 tokens per session (6,516 once invoked), scanned A, original, Apache-2.0.

A workflow that reshapes a completed research paper, figures, and author notes into a draft Chinese invention patent application. It covers claims, abstracts, technical descriptions, and figure explanations.

In plain words
What is it for?
Use it to assess whether research material is suitable for a patent, identify the protectable idea, draft patent sections, and review consistency and disclosure risks.
Why use it?
It helps researchers express an existing invention in patent form while identifying missing information and requiring human review before submission.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it to assess whether research material is suitable for a patent, identify the protectable idea, draft patent sections, and review consistency and disclosure risks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/paper-to-cn-patent
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 ThomasMoreAI/legal-skills-open --skill paper-to-cn-patent
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

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.

agentmods badge for paper-to-cn-patent

README.md
[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/paper-to-cn-patent/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/paper-to-cn-patent)
Your own site
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/paper-to-cn-patent"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/paper-to-cn-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.

agentmods 80×15 button for paper-to-cn-patent

Your own site · 80×15
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/paper-to-cn-patent"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/paper-to-cn-patent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,516 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.06516
Opus 5 $0.00037 $0.03258
Sonnet 5 $0.00015 $0.01303
Haiku 4.5 $0.00007 $0.00652

Measured 9d ago against content hash 4604f2107570, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

paper-to-cn-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.

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.

cn/ip/skills/paper-to-cn-patent/SKILL.md · 492 lines

How it starts

The opening of the file, as written. The whole thing — 492 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper to CN Patent

Overview

将已完成的论文、附图和作者备注重构为接近可提交质量的中文发明专利草稿,同时始终保留明确的人工复核门槛。

除非用户明确要求其他语言,否则默认用中文输出。

默认语言风格要求如下,并适用于所有中间产物与最终产物:

  • 使用正式、书面的语言
  • 表达应利于阅读和理解,优先使用句式清晰、逻辑直接的表述
  • 避免过长句、并列过多、口语化表达以及不必要的修饰
  • 在保持专利文风的前提下,优先保证信息传达清楚、段落结构稳定

本 skill 同时支持两类输入场景:一类是“论文转专利”改写,另一类是当材料中还包含发明交底、会议纪要或结构化作者备注时的更宽泛专利起草场景。

Load References

开始起草前,先读取 references/patent-structure-cn.mdreferences/paper-to-patent-mapping.md

生成或修改权利要求前,先读取 references/claim-writing-guide.md

输出接近终稿的内容或审核报告前,先读取 references/review-checklist-cn.md

执行完整性或一致性检查前,先读取 references/compliance-check-cn.md

当用户要求输出发明名称、发明人或申请人字段、申请元数据占位信息,或更完整的申请包结构时,先读取 references/front-matter-cn.md

规划附图、图名或参考标号规则前,先读取 references/diagram-guidelines-cn.md

将论文语言改写成专利语言前、准备放宽权利要求范围前、以及输出审核或质量判断前,先读取 references/rewrite-review-risks-cn.md

Drafting Workflow

严格按以下顺序执行,不要直接从论文跳到完整终稿。

1. Intake and Invention Triage

尽量收集以下输入材料:

  • 论文全文或论文主要章节
  • 图题、流程图说明或系统结构图
  • 作者备注,包括真正的创新点、希望保护的重点、不能公开的内容、可接受的泛化程度
  • 当论文信息不足时,补充发明交底、实验记录、会议纪要或产品需求说明

正式起草前,先输出一份简短的发明摘要,至少覆盖:

  • 所属技术领域
  • 实际要解决的技术问题
  • 可能的可保护核心
  • 当前材料支持的实施形态,例如方法、系统、装置、模块或存储介质
  • 主要披露缺口或保密风险

在这一阶段,必须明确给出专利类型建议:

  • 如果材料主要围绕方法、算法、控制逻辑、技术流程、系统或技术产品,则优先判断为发明专利
  • 只有当创新主要体现为产品形状、结构或构造改进,而非算法或处理逻辑时,才考虑实用新型
  • 如果材料不足以做出稳定判断,则标记为“类型待确认”

当材料明显指向其他类型时,不要默认套用原有类型。

如果缺少下列任一信息,在起草终稿前必须先追问:

  • 核心可保护技术特征
  • 实施步骤或模块关系
  • 可选变体、替代方案或兜底实施例
  • 不能公开的边界条件
  • 如果用户要更完整申请包,还包括发明人、申请人、标题或优先权占位信息

如果材料不完整,先输出缺失信息清单。不要虚构技术细节。

2. Front-End Patentability Check

当用户要求的不只是纯改写,而是更像专利方案评估时,在权利要求起草前加入一轮轻量前置评估。

输出一份简短的研究与可专利性说明,至少包括:

  • 用户已描述或材料中可识别的最接近现有技术方向
  • 可能的区别特征
  • 第一项独立权利要求的大致保护宽度建议
  • 当前更适合直接继续、缩小目标,还是先补充材料

除非用户已经提供正式检索结果,否则对新颖性、创造性和实用性的判断一律写成“初步风险判断”,不要写成最终法律结论。

对三性中的每一项,都标记为以下之一:

  • 低风险
  • 中风险
  • 高风险
  • 信息不足

Read the full file on GitHub · 492 lines

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.

  1. 9d ago First seen · 492 lines · 75 tokens per session scan A 4604f2107570

Subscribe to this mod's changes

paper-to-cn-patent is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 75 tokens to every session and 6,516 once invoked, about $0.0004 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 2026-09-03.