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patent-claims-analyzer专利权利要求分析器

Agent Skill

patent-claims-analyzer 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。

总安装

4,872

周安装

203

GitHub Stars

96

下载量

1,624
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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-claims-analyzer(专利权利要求分析器)
来源仓库:https://github.com/robthepcguy/claude-patent-creator
仓库路径:skills/patent-claims-analyzer
安装命令:
npx skills add https://github.com/robthepcguy/claude-patent-creator --skill patent-claims-analyzer
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/robthepcguy/claude-patent-creator --skill patent-claims-analyzer

简介

用于查找、检索和筛选相关信息。patent-claims-analyzer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合在专利权利要求分析中获取候选内容。
  • 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。

SKILL.md

Patent Claims Analyzer Skill

Automated analysis of patent claims for USPTO compliance with 35 USC 112(b) requirements.

When to Use

Invoke this skill when users ask to:

  • Review patent claims for definiteness
  • Check antecedent basis in claims
  • Analyze claim structure
  • Find claim drafting issues
  • Validate claims before filing
  • Fix USPTO office action issues related to claims

What This Skill Does

Performs comprehensive automated analysis:

  1. Antecedent Basis Checking:

- Finds terms used without prior introduction - Detects missing "a/an" before first use - Identifies improper "said/the" before first use - Tracks term references across claims

  1. Definiteness Analysis (35 USC 112(b)):

- Identifies subjective/indefinite terms - Detects relative terms without reference - Finds ambiguous claim language - Checks for clear claim boundaries

  1. Claim Structure Validation:

- Parses independent vs. dependent claims - Validates claim dependencies - Checks claim numbering - Identifies claim type (method, system, etc.)

  1. Issue Categorization:

- Critical: Must fix before filing - Important: May cause rejection - Minor: Best practice improvements

Required Data

This skill uses the automated claims analyzer from: Location: ${CLAUDE_PLUGIN_ROOT}/python\claims_analyzer.py

How to Use

When this skill is invoked:

  1. Load the claims analyzer: import sys sys.path.insert(0, os.path.join(os.environ.get('CLAUDE_PLUGIN_ROOT', '.'), 'python')) from python.claims_analyzer import ClaimsAnalyzer analyzer = ClaimsAnalyzer()
  2. Analyze claims: claims_text = """ 1. A system comprising: a processor; a memory; and said processor configured to... """ results = analyzer.analyze_claims(claims_text)
  3. Present analysis:

- Show compliance score (0-100) - List issues by severity (critical, important, minor) - Provide MPEP citations for each issue - Suggest specific fixes

Analysis Output Structure

{
    "claim_count": 20,
    "independent_count": 3,
    "dependent_count": 17,
    "compliance_score": 85,  # 0-100
    "total_issues": 12,
    "critical_issues": 2,
    "important_issues": 7,
    "minor_issues": 3,
    "issues": [
        {
            "category": "antecedent_basis",
            "severity": "critical",
            "claim_number": 1,
            "term": "said processor",
            "description": "Term 'processor' used with 'said' before first introduction",
            "mpep_cite": "MPEP 2173.05(e)",
            "suggestion": "Change 'said processor' to 'the processor' or introduce with 'a processor' first"
        },
        # ... more issues
    ]
}

Common Issues Detected

  1. Antecedent Basis Errors:

- Using "said/the" before "a/an" introduction - Terms appearing in dependent claims not in parent - Missing antecedent in claim body

  1. Definiteness Issues:

- Subjective terms: "substantially", "about", "approximately" - Relative terms: "large", "small", "thin" - Ambiguous language: "and/or", "optionally"

  1. Structure Issues:

- Means-plus-function without adequate structure - Improper claim dependencies - Missing preamble or transition

Presentation Format

Present analysis as:

CLAIMS ANALYSIS REPORT
======================

Summary:
- Total Claims: 20 (3 independent, 17 dependent)
- Compliance Score: 85/100
- Issues Found: 12 (2 critical, 7 important, 3 minor)

CRITICAL ISSUES (Must Fix):

[Claim 1] Antecedent Basis Error
  Issue: Term 'processor' used with 'said' before introduction
  Location: "said processor configured to..."
  MPEP: 2173.05(e)
  Fix: Change to 'the processor' or introduce with 'a processor' first

[Claim 5] Indefinite Term
  Issue: Subjective term 'substantially' without definition
  Location: "substantially similar to..."
  MPEP: 2173.05(b)
  Fix: Define 'substantially' in specification or use objective criteria

IMPORTANT ISSUES:
...

MINOR ISSUES:
...

Integration with MPEP

For each issue, the skill can:

  1. Search MPEP for relevant guidance
  2. Provide specific MPEP section citations
  3. Show examiner guidance on similar issues
  4. Suggest fixes based on USPTO practice

Tools Available

  • Read: To load claims from files
  • Bash: To run Python analyzer
  • Write: To save analysis reports

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

27.32%
按下载量换算444

OpenCode

22.73%
按下载量换算369

Gemini CLI

20.36%
按下载量换算331

windsurf

13.88%
按下载量换算225

trae

8.98%
按下载量换算146

Antigravity

3.18%
按下载量换算52

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

来源信息

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