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handsomestwei

中国专利.Skill

by handsomestWei · GitHub ↗ · v1.8.4 · MIT-0
cross-platform ✓ Security Clean
171
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4
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Install in OpenClaw
/install patent-disclosure-skill
Description
通用中国专利挖掘发现与交底书生成全流程:扫描项目文档挖掘专利点、讨论融合、基于脱敏模版生成技术交底书、联网查新、生成后自检含逻辑闭环与公式参数一致性。| Patent mining, disclosure drafting, prior-art search, and consistency self-check.
Usage Guidance
This skill appears to do what it says: it will read files you point it at, optionally convert Office docs, run local Python/Node tools, and (if used) perform browser-based scraping of the CNIPA public site via Playwright. Before installing or running: 1) review/confirm which local directories you give the skill access to (avoid exposing directories with secrets or unrelated credentials); 2) be prepared to install optional dependencies (pip packages, Playwright/Chromium, Node/npm) — Playwright will download a browser binary; 3) inspect tools/* scripts (they are plain Python) if you have supply-chain concerns; 4) run the skill in a sandbox/VM if you want to isolate network and filesystem effects; 5) note the CNIPA scraper includes automation-fingerprinting tweaks (to improve scraping reliability) — this is technical and intended to interact with a JS-heavy public site, not to exfiltrate data; 6) do not expect the skill to request credentials, and revoke access if you see unexpected credential requests. If you want me to, I can highlight specific lines in any tool file (e.g., cnipa_epub_* or mermaid_render.py) for a closer look.
Capability Analysis
Type: OpenClaw Skill Name: patent-disclosure-skill Version: 1.8.4 The patent-disclosure-skill bundle is a legitimate toolset designed to assist AI agents in patent mining, prior-art searching, and technical disclosure drafting. It includes robust Python utilities for converting Office documents (docx_to_md.py, pptx_to_md.py), rendering Mermaid diagrams (mermaid_render.py), and a specialized Playwright-based scraper for the official Chinese patent database (cnipa_epub_search.py). The instructions in SKILL.md and the prompts/ directory are highly detailed, emphasizing data anonymization (de-sensitization) and logical consistency checks. While the bundle utilizes high-risk capabilities like shell execution and automated web browsing, these are strictly scoped to the stated purpose of document processing and patent research, with no evidence of malicious intent, data exfiltration, or unauthorized persistence.
Capability Tags
crypto
Capability Assessment
Purpose & Capability
The skill's name/description align with the included tools (docx/pptx→MD conversion, mermaid rendering, CNIPA EPUB search, md↔docx, iteration logging). One metadata mismatch: registry lists no required binaries, but SKILL.md and tools require Python, pip packages, optional Node.js/mmdc and Playwright/Chromium for full functionality. This is expected for the described features but is a practical dependency gap to be aware of.
Instruction Scope
SKILL.md and prompt files explicitly instruct the agent to read project files, convert Office documents, perform prior-art searches (preferentially via epub.cnipa.gov.cn), run local tools, write timestamped .md/.docx outputs and append iteration logs. These actions are within scope of generating and iterating patent disclosures. Note: the agent will read any files/paths you point it at, so giving it a project root grants broad read access to source/docs.
Install Mechanism
There is no registry-level install spec (instruction-only), but the repository includes code that requires optional installs: pip requirements, Playwright (which downloads Chromium), and Node/npm for mermaid rendering. All installs reference standard package managers and official components (pip, playwright, npm) — no obscure download URLs or shorteners. The Playwright/Chromium download is heavyweight and does network fetches during installation.
Credentials
The skill declares no required environment variables or credentials. Some optional environment flags (PLAYWRIGHT_HEADED, EPUB_WAF_MAX_WAIT_SEC, EPUB_RESULT_HTML, PYTHONUTF8) are used to tune scraping behavior; these are reasonable and proportional to the CNIPA scraping and local rendering tasks. No tokens/keys are requested.
Persistence & Privilege
always:false and no special privileges appear requested. The skill writes files into user-designated output directories (timestamped .md/.docx and a revision log) as part of normal operation. It does not modify other skills or system-wide agent configuration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install patent-disclosure-skill
  3. After installation, invoke the skill by name or use /patent-disclosure-skill
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.8.4
Version 1.8.5 - 关键字检索拆分成多轮单个单词,避免子agent被超时自动关闭; - 增强图片生成像素; - 优化图片插入
v1.8.3
- 引入了中国专利公布公告查新专用工具:新增 cnipa_epub_search.py 等,支持自动拉取及解析专利要点摘要 - 查新流程更新:明确要求优先通过 cnipa_epub_search.py 获取摘要并理解后填写专利区别点,异常才降级 WebSearch - 工具依赖调整:tools 目录下新增 requirements-cnipa.txt,需单独安装 - 主流程和自用清单同步强化中国专利查新的处理规范
v1.8.1
Version 1.8.1 - 技能描述精简
v1.8.0
Version 1.8.0 of patent-disclosure-skill - **Enhanced documentation:** SKILL.md extensively reorganized and expanded to clarify the full end-to-end process for patent mining and disclosure drafting. - **Stepwise workflow details:** Now includes precise mapped steps, prompt files, and tool/script usage for each process phase, especially Office document handling. - **Improved iteration protocol:** Clearly explains iteration triggers, naming conventions with timestamps, and document versioning so drafts are not overwritten. - **Mermaid diagram workflow:** Mandates default PNG rendering for system/process diagrams in Word export and fallback handling for mermaid errors. - **Explicit compliance checklist:** Adds a comprehensive agent workflow checklist for consistency and document quality assurance. - **Tool integration notes:** Specifies priority and fallback for Office extraction tools, and clarifies handling when using external skills (e.g., MiniMax).
Metadata
Slug patent-disclosure-skill
Version 1.8.4
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is 中国专利.Skill?

通用中国专利挖掘发现与交底书生成全流程:扫描项目文档挖掘专利点、讨论融合、基于脱敏模版生成技术交底书、联网查新、生成后自检含逻辑闭环与公式参数一致性。| Patent mining, disclosure drafting, prior-art search, and consistency self-check. It is an AI Agent Skill for Claude Code / OpenClaw, with 171 downloads so far.

How do I install 中国专利.Skill?

Run "/install patent-disclosure-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 中国专利.Skill free?

Yes, 中国专利.Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 中国专利.Skill support?

中国专利.Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 中国专利.Skill?

It is built and maintained by handsomestWei (@handsomestwei); the current version is v1.8.4.

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