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Agent Skill · 研究检索

patent-pipeline(专利管道)

patent-pipeline 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

patent-pipeline 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 47,174。

总安装 745周安装 32GitHub Stars 7,781下载 261核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:patent-pipeline(专利管道)
来源仓库:https://github.com/wanshuiyin/auto-claude-code-research-in-sleep
仓库路径:skills/patent-pipeline
安装命令:
npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill patent-pipeline
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill patent-pipeline

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。patent-pipeline 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合在专利流程管理或自动化任务中获取资料。通过 GitHub 安装,兼容多个 AI 工具链。建议确认原始 README 以了解具体用法。注意权限范围和潜在的文件读写行为。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/patent-pipeline

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

patent-pipeline 怎么安装?

在终端执行 npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill pa…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

patent-pipeline 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

patent-pipeline 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

patent-pipeline 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

patent-pipeline 用的人多吗?

公开数据是累计安装 745 次,近一周安装 32 次,下载 261 次,GitHub 7,781 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

patent-pipeline 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 7,781 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
patent-pipeline

专利管道 · 本页

7457,781调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Patent Pipeline: From Invention to Filing

Draft a complete patent application based on: $ARGUMENTS

Overview

This skill orchestrates the full patent drafting lifecycle -- from prior art search through jurisdiction-formatted filing documents. It chains sub-skills into a patent-specific pipeline:

/prior-art-search → /patent-novelty-check → /invention-structuring → /claims-drafting → /specification-writing → /patent-review → /jurisdiction-format
     (search)           (verify)              (structure)             (claims)            (description)          (examiner)         (compile)
                                                                                              ├── /figure-description
                                                                                              └── /embodiment-description

This is a parallel branch, not part of the linear research pipeline. After /idea-discovery produces validated ideas, the user can either:

  • Go to /experiment-bridge → /auto-review-loop → /paper-writing (publish track)
  • Go to /grant-proposal (funding track)
  • Go to /patent-pipeline (patent track) <-- this skill
                    ┌→ /experiment-bridge → /auto-review-loop → /paper-writing  (publish track)
/idea-discovery ────┤
                    ├→ /grant-proposal → [get funded] → ...  (funding track)
                    └→ /patent-pipeline → [file patent]       (patent track)

Patents are about protecting inventions (legal scope), not publishing results (academic contribution). This skill handles the unique requirements of patent drafting: prior art analysis, claims hierarchy design, specification writing with enablement support, embodiment descriptions, and jurisdiction-specific formatting.

Constants

  • JURISDICTION = CN — Target patent jurisdiction. Options: CN (CNIPA), US (USPTO), EP (EPO), ALL (generate all three). Override via argument (e.g., /patent-pipeline "invention — US").
  • PATENT_TYPE = invention — invention (发明专利, 20 year protection) or utility_model (实用新型, CN only, 10 year protection, apparatus claims only). Override via argument.
  • REVIEWER_MODEL = gpt-5.4 — Model used via Codex MCP for examiner-style review.
  • MAX_REVIEW_ROUNDS = 2 — Maximum review-revision cycles.
  • AUTO_PROCEED = false — At each checkpoint, always wait for explicit user confirmation. Patent applications require inventor judgment at every stage. Set true only if user explicitly requests autonomous mode.
  • LANGUAGE = auto — Output language. Auto-detected from jurisdiction: CN->Chinese, US->English, EP->English. Override explicitly if needed.
  • OUTPUT_DIR = patent/ — Directory for generated patent files.
  • OUTPUT_FORMAT = markdown — Draft format. markdown for review, docx for filing-ready.
Override defaults via arguments: /patent-pipeline "invention — US, utility model" or /patent-pipeline "invention — ALL, language: Chinese".

Patent Type Specifications

Invention Patent (发明专利)

FieldDetail
Protection20 years from filing date
Subject matterMethods, systems, products, compositions, processes
ExaminationSubstantive examination required
Inventive stepHigh (must involve an inventive step / 创造性)
Timeline2-4 years to grant (CN); 2-3 years (US); 3-5 years (EP)
ClaimsMethod + system + product claims allowed

Utility Model (实用新型) — CN Only

FieldDetail
Protection10 years from filing date
Subject matterProduct shape, structure, or combination thereof only
ExaminationFormal examination only (no substantive examination)
Inventive stepLower than invention patent
Timeline6-8 months to grant
ClaimsApparatus/device claims only. NO method claims.
RestrictionCN jurisdiction only

State Persistence (Compact Recovery)

Patent drafting is a long task that may trigger context compaction. Persist state to patent/PATENT_STATE.json after each phase:

{
  "phase": 3,
  "jurisdiction": "CN",
  "patent_type": "invention",
  "language": "Chinese",
  "codex_thread_id": "019cfcf4-...",
  "invention_title": "...",
  "claims_count": 15,
  "status": "in_progress",
  "timestamp": "2026-04-10T15:00:00"
}

Write this file at the end of every phase. On invocation, check for this file:

  • If absent or status: "completed" -> fresh start
  • If status: "in_progress" and within 24h -> resume from saved phase (read output files to restore context)
  • If older than 24h -> fresh start (stale state)

On completion, set "status": "completed".

Workflow

Phase 0: Input Parsing & Context Gathering

Parse $ARGUMENTS to extract:

  1. Invention description — may be structured (references INVENTION_BRIEF.md), conversational with figures, or output from IDEA_REPORT.md
  2. Jurisdiction — detect from keywords (e.g., "CN" or "中国" -> CN, "US" or "USPTO" -> US, "EP" or "EPO" -> EP, "ALL")
  3. Patent type — detect from keywords (e.g., "utility model" or "实用新型" -> utility_model, default -> invention)
  4. Overrides — language, output format, review rounds

Then gather context from the project directory:

  1. Read INVENTION_BRIEF.md if it exists (user filled in the template)
  2. Read IDEA_REPORT.md if it exists (from /idea-discovery -- can extract invention from research results)
  3. Read refine-logs/FINAL_PROPOSAL.md if it exists
  4. Read NARRATIVE_REPORT.md if it exists (research results that may be patentable)
  5. Search for user-provided figures (PNG, JPG, SVG, PDF) in the project directory
  6. Check for patent/PATENT_STATE.json (resume from prior interrupted run)

If insufficient context exists:

  • No invention description at all -> suggest user describe the invention or fill in INVENTION_BRIEF.md
  • Has IDEA_REPORT.md -> extract patentable aspects from the research
  • Has figures -> reference them in the invention brief
  • No figures -> note that figures will be needed and plan what drawings are required

If the input is conversational (not a structured brief), parse the description into the invention brief structure and write patent/INVENTION_BRIEF.md for downstream phases.

Phase 1: Prior Art Search & Novelty Assessment

1.1 Prior Art Search

Invoke /prior-art-search:

/prior-art-search "patent/INVENTION_BRIEF.md"

This searches patent databases (Google Patents, Espacenet) and academic literature for relevant prior art.

1.2 Novelty Check

Invoke /patent-novelty-check:

/patent-novelty-check "patent/INVENTION_BRIEF.md"

This assesses novelty and non-obviousness against the prior art found in step 1.1.

🚦 Checkpoint: Present the prior art landscape and novelty assessment:

Prior art search complete:
- [X] patent references found
- [Y] non-patent literature references found
- Closest prior art: [reference] -- [why it's closest]
- Novelty assessment: [PATENTABLE / PATENTABLE WITH AMENDMENTS / NOT PATENTABLE]
- Key risk areas: [list]

Ready to proceed with invention structuring?

⛔ STOP HERE and wait for user response. Do NOT auto-proceed unless AUTO_PROCEED=true.

Options:

  • Reply "go" -> proceed to Phase 2
  • Reply with adjustments -> refine the invention scope and re-check novelty
  • Reply "stop" -> save progress to patent/DRAFT_NOTES.md

State: Write PATENT_STATE.json with phase: 1.

Phase 2: Invention Structuring & Claims Design

2.1 Structure the Invention

Invoke /invention-structuring:

/invention-structuring "patent/INVENTION_BRIEF.md"

This decomposes the invention into core inventive concept, supporting features, and optional features. Produces patent/INVENTION_DISCLOSURE.md.

2.2 Draft Claims

Invoke /claims-drafting:

/claims-drafting "patent/INVENTION_DISCLOSURE.md"

This drafts the claims hierarchy -- the most critical part of the patent. Produces patent/CLAIMS.md.

🚦 Checkpoint: Present the invention structure and claims:

Invention structured:
- Core inventive concept: [summary]
- Claim categories: [method, system, etc.]
- Claims drafted: [X] independent + [Y] dependent = [Z] total
- Independent claim 1 (broadest): [first 50 words of claim 1]
- Examiner review score: [X]/10

The claims define the legal scope of protection. Please review before proceeding to specification.

⛔ STOP HERE and wait for user response. Do NOT auto-proceed unless AUTO_PROCEED=true.

Options:

  • Reply "go" -> proceed to Phase 3
  • Reply with adjustments (e.g., "broaden claim 1", "add more dependent claims") -> revise claims
  • Reply "stop" -> save progress

State: Write PATENT_STATE.json with phase: 2.

Phase 3: Specification Writing

Invoke /specification-writing:

/specification-writing "patent/CLAIMS.md"

This writes the full specification section by section. Internally invokes /figure-description (if user-provided figures exist) and /embodiment-description for the detailed description. The specification-writing skill handles figure processing and embodiment writing as sub-skills.

🚦 Checkpoint: Present the specification overview:

Specification written:
- Title: [title]
- Sections: Technical Field, Background, Summary, Drawings Description, Detailed Description, Abstract
- Embodiments: [X]
- Reference numerals: [Y] components mapped
- Abstract length: [Z] words (limit: [jurisdiction limit])
- Claim support: [all elements covered / X elements missing]

Ready to proceed to review?

⛔ STOP HERE and wait for user response.

State: Write PATENT_STATE.json with phase: 3.

Phase 4: Patent Review

Invoke /patent-review:

/patent-review "patent/"

This runs 2 rounds of examiner-style review via GPT-5.4 xhigh. The examiner evaluates clarity, written description, enablement, novelty, non-obviousness, and claim scope.

State: Write PATENT_STATE.json with phase: 4 and review score.

Phase 5: Jurisdiction Formatting & Output

Invoke /jurisdiction-format:

/jurisdiction-format "patent/"

This compiles the application into the target jurisdiction format(s).

Final Deliverables
OutputLocationDescription
CN: 权利要求书patent/output/CN/Claims in CNIPA format
CN: 说明书patent/output/CN/Description in CNIPA format
CN: 说明书摘要patent/output/CN/Abstract (CN)
US: Claimspatent/output/US/Claims in USPTO format
US: Specificationpatent/output/US/Description in USPTO format
US: Abstractpatent/output/US/Abstract (US)
EP: Claimspatent/output/EP/Claims in EPO format
EP: Descriptionpatent/output/EP/Description in EPO format
EP: Abstractpatent/output/EP/Abstract (EP)
Final Report
## Patent Pipeline Complete

### Application Summary
- Title: [invention title]
- Jurisdiction: [CN/US/EP/ALL]
- Patent Type: [Invention / Utility Model]
- Language: [Chinese/English]
- Total Claims: [X] independent + [Y] dependent

### Pipeline Scores
| Phase | Score |
|-------|-------|
| Prior Art Search | [completeness assessment] |
| Novelty Assessment | [PATENTABLE/PATENTABLE WITH AMENDMENTS/NOT PATENTABLE] |
| Examiner Review Round 1 | [X]/10 |
| Examiner Review Round 2 | [Y]/10 |
| Final | [Z]/10 |

### Output Files
[Table of all generated files with paths]

### Next Steps
- [ ] Have a patent attorney review the application
- [ ] Conduct professional prior art search (this tool's search is preliminary)
- [ ] Prepare formal drawings (if user figures need professional rendering)
- [ ] File with the patent office
- [ ] For utility model (CN): formal examination typically takes 6-8 months
- [ ] For invention patent: substantive examination may take 2-4 years

State: Write PATENT_STATE.json with phase: 5, status: "completed".

Key Rules

  • Never fabricate prior art references, patent numbers, or citations.
  • Claims must be supported by the specification (written description requirement).
  • Each jurisdiction has strict format requirements -- do not mix formats.
  • Utility model (实用新型) applies ONLY to CN jurisdiction and ONLY covers apparatus/device claims.
  • AUTO_PROCEED defaults to false -- patent applications require human review at every phase. Sub-skills inherit this flag: when AUTO_PROCEED=false, sub-skills present results and wait at their own internal checkpoints too.
  • The patent pipeline produces drafts for attorney review, not final filing documents.
  • Large file handling: if a Write operation fails, retry with Bash cat <<'EOF' heredoc.
  • Never include experimental results or empirical evaluations in the specification.
  • Consistent terminology is mandatory -- same word for the same concept throughout.
  • If mcp__codex__codex is not available (no OpenAI API key), skip external cross-model review and note it in the output. The pipeline must not fail due to missing reviewer access.

Composing with Other Workflows

The patent pipeline can start from multiple entry points:

User describes invention directly ──→ /patent-pipeline

/idea-discovery produces IDEA_REPORT.md ──→ /patent-pipeline (extract patentable aspects)

/research-refine produces FINAL_PROPOSAL.md ──→ /patent-pipeline (from refined research idea)

/auto-review-loop produces strong results ──→ /patent-pipeline (patent the method)

Acknowledgements

Built on the ARIS (Auto-claude-code-research-in-sleep) skill architecture. Patent writing principles adapted from MPEP (US), CN Patent Examination Guidelines (CN), and EPO Guidelines for Examination (EP).

平台分布

Codex

35.69%
按下载量换算93

Claude

28.09%
按下载量换算73

Cursor

18.49%
按下载量换算48

Gemini CLI

10.47%
按下载量换算27

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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