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Agent Skill · 研究检索

patent-scanner(专利扫描仪)

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。

patent-scanner 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 1,522。

总安装 88,839周安装 3,739GitHub Stars 14下载 31,108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
MIT-0
版本
1.4.0

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

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。

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。

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 OpenClaw;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 openclaw skills install patent-scanner;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

    它需要需要联网,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-scanner 怎么安装?

在终端执行 openclaw skills install patent-scanner。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

patent-scanner 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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-scanner 需要什么权限?

权限级别是需要联网。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。

patent-scanner 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

patent-scanner 用的人多吗?

公开数据是累计安装 88,839 次,近一周安装 3,739 次,下载 31,108 次,GitHub 14 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-scanner 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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-scanner

专利扫描仪 · 本页

88,83914需要联网MIT-0通过

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

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.*

平台分布

OpenClaw

93.5%
按下载量换算29,086

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

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

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。目前只有一个公开来源,建议同时核对源仓库。

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