Jump to related tools in the same category or review the original source on GitHub.

AI & LLMs @leegitw Updated 2/26/2026

Patent Scanner OpenClaw Skill - ClawHub

Do you want your AI agent to automate Patent Scanner workflows? This free skill from ClawHub helps with ai & llms tasks without building custom tools from scratch.

What this skill does

Describe your concept and discover what makes it distinctive — structured analysis for patent consultation. NOT legal advice.

Install

npx clawhub@latest install patent-scanner

Full SKILL.md

Open original
namedescriptionhomepageuser invocabletags
Patent ScannerDescribe your concept and discover what makes it distinctive — structured analysis for patent consultation. NOT legal advice.https://obviouslynot.aitrue
patentpatentspatentabilityinnovationintellectual-propertyinventionideationbrainstormingidea-validationai-analysisopenclaw

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

Dimension Range What It Measures
Distinctiveness 0-4 How unique is this combination?
Sophistication 0-3 Technical complexity of the approach
System Impact 0-3 Scope of the technical contribution
Frame Shift 0-3 Does 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:

Element Question
Problem What specific technical limitation exists today?
Solution How does this approach address it (explain HOW)?
Benefit What 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:

Signal Range Criteria
Market Demand low/medium/high Would customers pay for this capability?
Competitive Value low/medium/high Is this worth disclosing via patent?
Novelty Confidence low/medium/high Novel 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.

Original URL: https://github.com/openclaw/skills/blob/main/skills/leegitw/patent-scanner

Related skills

If this matches your use case, these are close alternatives in the same category.