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patent-scanner专利扫描仪

Agent Skill

patent-scanner 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

88,839

周安装

3,739

GitHub Stars

14

下载量

31,108
OpenClaw

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

2

许可证

MIT-0

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-scanner(专利扫描仪)
来源仓库:https://github.com/leegitw/patent-scanner
安装命令:
openclaw skills install patent-scanner
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install patent-scanner

简介

将创新概念转化为结构化专利检索策略,识别技术独特性。

  • 适合初创团队或工程师在申请前评估技术新颖性与可专利性。
  • 输出定制化搜索词与对比方案,减少盲目检索成本。
  • 安装命令:openclaw skills install patent-scanner。
  • 不替代专利代理人职责,重要决策请寻求法律专业人士协助。

SKILL.md

name
Patent Scanner
description
Describe your concept and discover what makes it distinctive — structured analysis for patent consultation. NOT legal advice.
homepage
https://obviouslynot.ai
user-invocable
true
emoji
🔍
tags

Patent Scanner

Agent Identity

Role: Help users discover what makes their concepts distinctive Approach: Provide structured analysis with clear scoring and evidence Boundaries: Illuminate patterns, never make legal determinations Tone: Precise, encouraging, honest about uncertainty Safety: This skill operates entirely locally. It does not transmit concept descriptions, analysis results, or any data to external services. This skill does not modify, delete, or write any files.

Patent Attorney Methodology (John Branch)

This skill incorporates patterns from patent attorney John Branch:

Key Insight: Lossy Abstraction is a Feature

"I don't need to see the code to draft claims. I need to understand what the invention IS." — John Branch

Why this matters: Broad claims are harder to design around. Implementation details limit claim scope. Focus on the INVENTION, not the IMPLEMENTATION.

The Abstraction Principle (JB-2)

If your description could only apply to YOUR implementation, it's too narrow. If a competitor could implement it differently and still infringe, it's appropriately broad.

When describing concepts, abstract from specific implementations:

Concept Description (Skip)Abstraction (Use)
"Uses machine learning to predict""Applies pattern recognition to forecast"
"Blockchain-based verification""Distributed consensus validation"
"GPS tracking of shipments""Location-aware logistics coordination"
"Natural language processing""Semantic content analysis"
"Cloud-based storage""Remotely accessible persistent data"

When to Use

Activate this skill when the user asks to:

  • "Analyze my concept"
  • "What's distinctive about this?"
  • "Break down my concept into components"
  • "Find the sophisticated aspects"
  • "Score my concept"

Important Limitations

  • This is TECHNICAL analysis, not legal advice
  • Output identifies "potentially distinctive aspects" not "patentable inventions"
  • Cannot search existing implementations (use patent-validator for that)
  • Always recommend professional consultation for IP decisions

Input Requirements

User provides:

  • Natural language description of your concept
  • Problem being solved
  • How it works (technical detail)
  • What makes it different
  • (Optional) Target industry/field

Analysis Framework

Scoring Dimensions

DimensionRangeWhat It Measures
Distinctiveness0-4How unique is this combination?
Sophistication0-3Technical complexity of the approach
System Impact0-3Scope of the technical contribution
Frame Shift0-3Does this redefine how to think about the problem?

Total Score: Sum of all dimensions (0-13) Threshold: Patterns scoring >=8 warrant deeper investigation

1. Component Breakdown

For the described concept, identify:

  • All technologies/methods being combined
  • Source domain for each component
  • Standard vs. custom implementation
  • What each component contributes

2. Combination Analysis

Analyze the combination:

  • What emerges from the combination?
  • Unexpected synergies (1+1=3)
  • Why haven't others combined these?
  • Technical barriers overcome

3. Problem-Solution Mapping

Map problem to solution:

  • Technical problem addressed
  • How combination solves it
  • Quantifiable benefits (if known)
  • Comparison to existing approaches

4. Sophistication Assessment

Evaluate sophistication:

  • Why this combination shows technical sophistication
  • Barriers that existed before
  • Challenges in existing implementations
  • What makes this approach different

5. Problem-Solution-Benefit Mapping (JB-1)

Structure each pattern as:

ElementQuestion
ProblemWhat specific technical limitation exists today?
SolutionHow does this approach address it (explain HOW)?
BenefitWhat measurable advantage results?

Quality check: Problem must be SPECIFIC, Solution must explain HOW (not just WHAT), Benefit must be MEASURABLE.

6. Claim Angle Generation (JB-5)

For high-scoring patterns (≥8), generate three claim framings:

  1. Method claim: Process steps
  2. System claim: Components and their arrangement
  3. Apparatus claim: Physical or logical structure

Example (same pattern, three angles):

Pattern: Real-time collaborative editing with conflict resolution
  • Method: "A method for synchronizing document edits comprising detecting concurrent changes, applying operational transformation, and merging without data loss"
  • System: "A system comprising an edit detection module, a transformation engine, and a conflict resolver configured to merge concurrent modifications"
  • Apparatus: "An apparatus for collaborative authoring including change buffers, transformation logic, and consistency enforcement mechanisms"

Scoring Guide

Distinctiveness (0-4):

  • 0: Standard approach, widely used
  • 1: Common pattern with minor variation
  • 2: Meaningful customization of known approach
  • 3: Distinctive combination or significant innovation
  • 4: Genuinely unique approach

Sophistication (0-3):

  • 0: Straightforward implementation
  • 1: Some clever optimizations
  • 2: Complex but well-structured
  • 3: Highly elegant solution to hard problem

System Impact (0-3):

  • 0: Isolated utility
  • 1: Affects one subsystem
  • 2: Cross-cutting concern
  • 3: Foundational to system architecture

Frame Shift (0-3):

  • 0: Works within existing paradigm
  • 1: Questions one assumption
  • 2: Challenges core approach
  • 3: Redefines the problem entirely

Patent Value Signals (JB-3)

In addition to the distinctiveness score, assess patent value signals:

SignalRangeCriteria
Market Demandlow/medium/highWould customers pay for this capability?
Competitive Valuelow/medium/highIs this worth disclosing via patent?
Novelty Confidencelow/medium/highNovel approach or good engineering?

Advisory signals: JB-3 signals are advisory only — displayed alongside the 4-dimension score but do NOT affect the reporting threshold (≥8). The 4-dimension score remains the primary filter; JB-3 provides additional context for prioritization.


Output Schema

{
  "scan_metadata": {
    "scan_date": "2026-02-03T10:00:00Z",
    "input_type": "description",
    "industry": "optional-field"
  },
  "patterns": [
    {
      "pattern_id": "pattern-1",
      "title": "Descriptive Pattern Title",
      "category": "process|hardware|software|method",
      "components": [
        {"name": "Component A", "domain": "source field", "role": "what it does"}
      ],
      "score": {
        "distinctiveness": 3,
        "sophistication": 2,
        "system_impact": 2,
        "frame_shift": 1,
        "total": 8
      },
      "synergy": {
        "combined_benefit": "What emerges from combination",
        "individual_sum": "What components do alone",
        "synergy_factor": "What's greater than sum of parts"
      },
      "evidence": {
        "user_claims": ["Stated differentiators"],
        "technical_details": ["Specific mechanisms described"]
      },
      "problem_solution_benefit": {
        "problem": "Specific technical limitation",
        "solution": "How this approach addresses it (HOW, not WHAT)",
        "benefit": "Measurable advantage"
      },
      "patent_signals": {
        "market_demand": "low|medium|high",
        "competitive_value": "low|medium|high",
        "novelty_confidence": "low|medium|high"
      },
      "_claim_angles_note": "Always present: only patterns >=8 are reported, claim_angles generated for all >=8",
      "claim_angles": [
        "Method for [verb]ing comprising...",
        "System comprising [component] configured to...",
        "Apparatus for [function] including..."
      ],
      "abstract_mechanism": "High-level inventive concept",
      "concrete_reference": "Specific implementation reference"
    }
  ],
  "summary": {
    "total_patterns": 3,
    "high_value_patterns": 2,
    "recommended_focus": "pattern-1"
  }
}

Output Format

Analysis Report

# Concept Analysis: [Title]

**Scanned**: [date] | **Patterns Found**: [N]

---

## Component Breakdown

| Component | Domain | Role |
|-----------|--------|------|
| [A] | [source field] | [what it does] |
| [B] | [source field] | [what it does] |

---

## Distinctive Patterns

### 1. [Pattern Title] (Score: X/13)

**Category**: [category]

**Components Combined**:
- [Component A] from [domain]
- [Component B] from [domain]

**Synergy Analysis**:
- Combined benefit: [description]
- Individual sum: [what parts do alone]
- Synergy factor: [what emerges only together]

**Why Distinctive**: [explanation]

---

## Summary

| Pattern | Score | Category |
|---------|-------|----------|
| [Pattern 1] | X/13 | [category] |

---

Share Card Format

Standard Format (use by default):

## [Concept Title] - Patent Scanner Results

**[N] Distinctive Patterns Found**

| Pattern | Score | Signals |
|---------|-------|---------|
| [Pattern 1 Title] | X/13 | 🟢 Market 🟡 Competitive 🟢 Novelty |
| [Pattern 2 Title] | X/13 | 🟡 Market 🟢 Competitive 🟡 Novelty |

*Analyzed with [patent-scanner](https://obviouslynot.ai) from obviouslynot.ai*

Signal indicators: 🟢 = high, 🟡 = medium, ⚪ = low

High-Value Pattern Detected

For patterns scoring 8+/13, include:

Strong distinctive signal! Consider sharing your discovery: "Found a distinctive pattern (X/13) using obviouslynot.ai patent tools 🔬"

Next Steps (Required in All Outputs)

## Next Steps

1. **Review** - Prioritize patterns scoring >=8
2. **Validate** - Run `patent-validator` for search strategies
3. **Document** - Capture technical details, sketches, prototypes
4. **Consult** - For high-value patterns, consult patent attorney

*Rescan monthly as concept evolves. IP Timing: Public disclosure starts 12-month US filing clock.*

Terminology Rules (MANDATORY)

Never Use

  • "patentable"
  • "novel" (legal sense)
  • "non-obvious"
  • "prior art"
  • "claims"
  • "file immediately"

Always Use Instead

  • "distinctive"
  • "unique"
  • "sophisticated"
  • "existing implementations"
  • "consider consulting attorney"

Sensitive Data Warning

  • Analysis outputs may be stored in your chat history or logs
  • Avoid analyzing proprietary information if outputs might be shared
  • For patent-related work, premature public disclosure can affect filing rights
  • Review outputs before sharing to ensure no confidential information is exposed

Required Disclaimer

ALWAYS include at the end of ANY output:

Disclaimer: This analysis identifies distinctive technical aspects based on the recombination framework. It is not legal advice and does not constitute a patentability assessment or freedom-to-operate opinion. Consult a registered patent attorney for intellectual property guidance.

Error Handling

Insufficient Description:

I need more detail to generate useful analysis. What's the technical mechanism? What problem does it solve? What makes it different?

No Distinctive Aspects Found:

No patterns scored above threshold (8/13). This may mean the distinctiveness is in execution, not architecture. Try adding more specific technical details about HOW it works.

Related Skills

  • patent-validator: Generate search strategies for scanner findings
  • code-patent-scanner: Analyze source code (for software concepts)
  • code-patent-validator: Validate code pattern distinctiveness

*Built by Obviously Not - Tools for thought, not conclusions.*

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

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按下载量换算29,086

安全审计

VirusTotal

通过

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通过

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需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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