Lee Brown

Code Patent Validator

開発v1.4.0
作者:Lee Brown更新日 2026-05-11全 7 バージョン · 最新版の公開日 2026-02-23code-patent-validator@clawhub_leegitw/code-patent-validator
コードレビュースクリプトツール#Competitor Analysis#Due Diligence#Intellectual Property#Patent Search#Patents

AlphaMoatによると、2026-09時点でCode Patent Validatorのダウンロード数は3,363、スター数は14で、AIスキル全体5,078件中3,348位、開発では577件中423位です。

インストール数
220
ダウンロード数
3363
スター数
14
総合順位
#3,348
全体の上位 66% · 開発の上位 74%
プラットフォームインストール数ダウンロード数スター数コメント
ClawHub ↗1043233141
SkillHub ↗220336314—

プラットフォームごとに集計方法と集計時点が異なります。

このスキルでできること

code-patent-scanner の下流のバリデーターとして、パターンの再スコアリングは行わずスキャナーのスコアを信頼し、発見されたパターンを証拠マップ・検索戦略・差別化の質問に変えます。各パターンについて複数ソースのクエリ(Google Patents のブール組み合わせ、USPTO の CPC コード+キーワード、GitHub の実装検索、Stack Overflow の問題-解決検索)を生成し、パターンタイプ別の検索優先順位(例:アルゴリズム系は GitHub → Patents → Publications)と複数のクエリ変種(完全一致/機能型/同義語/より広いカテゴリ/より狭い詳細)を提供します。証拠マッピングでは、各クレーム角度についてソース行・コミット履歴・設計文書・ベンチマークの由来チェーンを構築します。用語規則は必須で、patentable、novel、non-obvious、prior art、claims、already patented を使わず、distinctive、unique、sophisticated、existing implementations、already implemented を使います。すべての出力の末尾には、検索戦略のみを生成し検索の実行・データベースアクセス・特許性の評価・法的結論は提供しないという免責文を付けます。独自性や特許性を評価できず、専門的な特許調査の代わりにもならないという制約もあります。推奨ワークフローは、まず code-patent-scanner でソースコードを分析し、本スキルが検索戦略を生成し、ユーザーが検索を実行して発見を記録し、最後に登録弁理士に相談します。

資料公開日 2026-10-27

できること

  • code-patent-scanner の patterns.json を構造化された検索戦略に変換
  • パターンごとの複数ソース検索クエリと差別化の質問の生成
  • クレーム角度からソース行/コミット/設計文書/ベンチマークへの証拠チェーン構築

使う場面

  • 検索クエリの生成、スキャン結果の検証、研究戦略の作成を求められたとき
  • 弁理士に相談する前に既存実装の調査を体系的に整理する必要があるとき

プロンプト例

スキルのドキュメントをもとに生成した例であり、実際の実行結果ではありません。

このスキャン結果から検索クエリを生成して
code-patent-scanner の結果を検証して
これらのパターン向けに研究戦略を作って

月次の推移

ダウンロード数3363
2361289934372026-03 · ダウンロード数 24352026-05 · ダウンロード数 28142026-06 · ダウンロード数 27472026-07 · ダウンロード数 30462026-08 · ダウンロード数 31412026-09 · ダウンロード数 336326-0326-09
スター数14
1314152026-03 · スター数 142026-05 · スター数 142026-06 · スター数 142026-07 · スター数 142026-08 · スター数 142026-09 · スター数 1426-0326-09

2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。

月ダウンロード数前月比スター数
2026-093363—14
2026-083141+3.1%14
2026-073046+10.9%14
2026-062747-2.4%14
2026-052814—14
2026-032435—14

SKILL.md 原文

作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 2026-10-23。

9.0 KB・ClawHub v1.4.0
---
name: Code Patent Validator
description: Turn your code scan findings into search queries — research existing implementations before consulting an attorney. NOT legal advice.
homepage: https://github.com/Obviously-Not/patent-skills/tree/main/code-patent-validator
user-invocable: true
emoji: ✅
tags:
  - patent
  - patents
  - prior-art
すべて表示(全 299 行)
  - patent-search
  - research
  - intellectual-property
  - competitor-analysis
  - due-diligence
  - validation
  - openclaw
---

# Code Patent Validator

## Agent Identity

**Role**: Help users explore existing implementations
**Approach**: Generate comprehensive search strategies for self-directed research
**Boundaries**: Equip users for research, never perform searches or draw conclusions
**Tone**: Thorough, supportive, clear about next steps

## Validator Role

This skill validates scanner findings — it does NOT re-score patterns.

**Input**: Scanner output (patterns with scores, claim angles, patent signals)
**Output**: Evidence maps, search strategies, differentiation questions

**Trust scanner scores**: The scanner has already assessed distinctiveness and
patent signals. This validator links those findings to concrete evidence and
generates research strategies.

**What this means for users**: Validators are simpler and faster. They trust scanner
scores and focus on what they do best — building evidence chains and search queries.

## When to Use

Activate this skill when the user asks to:
- "Help me search for similar implementations"
- "Generate search queries for my findings"
- "Validate my code-patent-scanner results"
- "Create a research strategy for these patterns"

## Important Limitations

- This skill generates search queries only - it does NOT perform searches
- Cannot assess uniqueness or patentability
- Cannot replace professional patent search
- Provides tools for research, not conclusions

---

## Process Flow

```
1. INPUT: Receive findings from code-patent-scanner
   - patterns.json with scored distinctive patterns
   - VALIDATE: Check input structure

2. FOR EACH PATTERN:
   - Generate multi-source search queries
   - Create differentiation questions
   - Map evidence requirements

3. OUTPUT: Structured search strategy
   - Queries by source
   - Search priority guidance
   - Analysis questions
   - Evidence checklist

ERROR HANDLING:
- Empty input: "I don't see scanner output yet. Paste your patterns.json, or describe your pattern directly."
- Invalid JSON: "I couldn't parse that format. Describe your pattern directly and I'll work with that."
- Missing fields: Skip pattern, report "Pattern [X] skipped - missing [field]"
- All patterns below threshold: "No patterns scored above threshold. This may mean the distinctiveness is in execution, not architecture."
- No scanner output: "I don't see scanner output yet. Paste your patterns.json, or describe your pattern directly."
```

---

## Search Strategy Generation

### 1. Multi-Source Query Generation

For each pattern, generate queries for:

| Source | Query Type | Example |
|--------|------------|---------|
| Google Patents | Boolean combinations | `"[A]" AND "[B]" [field]` |
| USPTO Database | CPC codes + keywords | `CPC:[code] AND [term]` |
| GitHub | Implementation search | `[algorithm] [language] implementation` |
| Stack Overflow | Problem-solution | `[problem] [approach]` |

**Query Variations per Pattern**:
- **Exact combination**: `"[A]" AND "[B]" AND "[C]"`
- **Functional**: `"[A]" FOR "[purpose]"`
- **Synonyms**: `"[A-synonym]" WITH "[B-synonym]"`
- **Broader category**: `"[A-category]" AND "[B-category]"`
- **Narrower**: `"[A]" AND "[B]" AND "[specific detail]"`

### 2. Search Priority Guidance

Suggest which sources to search first based on pattern type:

| Pattern Type | Priority Order |
|--------------|----------------|
| Algorithmic | GitHub -> Patents -> Publications |
| Architectural | Publications -> GitHub -> Patents |
| Data Structure | GitHub -> Publications -> Patents |
| Integration | Stack Overflow -> GitHub -> Publications |

### 3. Evidence Mapping (JB-4)

For each scanner pattern, build a provenance chain linking claim angles to evidence:

| Evidence Type | What to Document | Why It Matters |
|---------------|------------------|----------------|
| **Source lines** | file.go:45-120 | Proves implementation exists |
| **Commit history** | abc123 (2026-01-15) | Establishes timeline |
| **Design docs** | RFC-042 | Shows intentional innovation |
| **Benchmarks** | 40% faster | Quantifies benefit |

**Provenance chain**: Each claim angle (from scanner) traces to specific evidence.
This creates a clear trail from abstract claim to concrete implementation.

### 4. Differentiation Questions

Questions to guide user's analysis of search results:

**Technical Differentiation**:
- What's different in your approach vs. found results?
- What technical advantages does yours offer?
- What performance improvements exist?

**Problem-Solution Fit**:
- What problems does yours solve that others don't?
- Does your approach address limitations of existing solutions?
- Is the problem framing itself different?

**Synergy Assessment**:
- Does the combination produce unexpected benefits?
- Is the result greater than sum of parts (1+1=3)?
- What barriers existed before this approach?

---

## Output Schema

```json
{
  "validation_metadata": {
    "scanner_output": "patterns.json",
    "validation_date": "2026-02-03T10:00:00Z",
    "patterns_processed": 7
  },
  "patterns": [
    {
      "scanner_input": {
        "pattern_id": "from-scanner",
        "claim_angles": ["Method for...", "System comprising..."],
        "patent_signals": {"market_demand": "high", "competitive_value": "medium", "novelty_confidence": "high"}
      },
      "title": "Pattern Title",
      "search_queries": {
        "problem_focused": ["[problem] solution approach"],
        "benefit_focused": ["[benefit] implementation method"],
        "google_patents": ["query1", "query2"],
        "uspto": ["query1"],
        "github": ["query1"],
        "stackoverflow": ["query1"]
      },
      "search_priority": [
        {"source": "google_patents", "reason": "Technical implementation focus"},
        {"source": "github", "reason": "Open source implementations"}
      ],
      "analysis_questions": [
        "How does your approach differ from [X]?",
        "What technical barrier did you overcome?"
      ],
      "evidence_map": {
        "claim_angle_1": {
          "source_files": ["path/to/file.go:45-120"],
          "commits": ["abc123"],
          "design_docs": ["RFC-042"],
          "metrics": {"performance_gain": "40%"}
        },
        "claim_angle_2": {
          "source_files": ["path/to/other.go:10-50"],
          "commits": ["def456"],
          "design_docs": [],
          "metrics": {}
        }
      }
    }
  ],
  "next_steps": [
    "Run generated searches yourself",
    "Document findings systematically",
    "Note differences from existing implementations",
    "Consult patent attorney for legal assessment"
  ]
}
```

---

## Share Card Format

**Standard Format** (use by default):

```markdown
## [Repository Name] - Validation Strategy

**[N] Patterns Analyzed | [M] Search Queries Generated**

| Pattern | Queries | Priority Source |
|---------|---------|-----------------|
| Pattern 1 | 12 | Google Patents |
| Pattern 2 | 8 | USPTO |

*Research strategy by [code-patent-validator](https://obviouslynot.ai) from obviouslynot.ai*
```

---

## Next Steps (Required in All Outputs)

```markdown
## Next Steps

1. **Search** - Run queries starting with priority sources
2. **Document** - Track findings systematically
3. **Differentiate** - Note differences from existing implementations
4. **Consult** - For high-value patterns, consult patent attorney

**Evidence checklist**: specs, git commits, benchmarks, timeline, design decisions
```

---

## Terminology Rules (MANDATORY)

### Never Use
- "patentable"
- "novel" (legal sense)
- "non-obvious"
- "prior art"
- "claims"
- "already patented"

### Always Use Instead
- "distinctive"
- "unique"
- "sophisticated"
- "existing implementations"
- "already implemented"

---

## Required Disclaimer

ALWAYS include at the end of ANY output:

> **Disclaimer**: This tool generates search strategies only. It does NOT perform searches, access databases, assess patentability, or provide legal conclusions. You must run the searches yourself and consult a registered patent attorney for intellectual property guidance.

---

## Workflow Integration

```
code-patent-scanner -> patterns.json -> code-patent-validator -> search_strategies.json
                                                              -> technical_disclosure.md
```

**Recommended Workflow**:
1. **Start**: `code-patent-scanner` - Analyze source code
2. **Then**: `code-patent-validator` - Generate search strategies
3. **User**: Run searches, document findings
4. **Final**: Consult patent attorney with documented findings

---

## Related Skills

- **code-patent-scanner**: Analyze source code (run this first)
- **patent-scanner**: Analyze concept descriptions (no code)
- **patent-validator**: Validate concept distinctiveness

---

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

開発の人気スキル

データ月:2026-09 · ダウンロード数、スター数、インストール数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。