An expert utility that converts technical code analysis findings into structured search strategies and evidence maps for intellectual property research.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-patent-validator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install code-patent-validator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Code Patent Validator?
The Code Patent Validator is a developer-centric tool designed to bridge the gap between raw source code analysis and the research phase of intellectual property protection. As a key part of the Openclaw Skills collection, this tool takes the output from technical scanners and transforms it into actionable search queries and differentiation strategies. It is built to help engineers and researchers explore existing implementations across global patent databases, open-source repositories, and technical forums without providing legal conclusions.
This skill functions by trusting the distinctiveness scores from previous scans and focusing on building a robust provenance chain. It maps specific functional patterns to source code lines, commit histories, and performance benchmarks, allowing for a structured comparison against the state of the art. By using Openclaw Skills like this validator, development teams can better prepare for consultations with patent attorneys by arriving with organized technical evidence and a clear map of the competitive landscape.
Code Patent Validator Use Cases
- Creating targeted search queries for Google Patents, USPTO, and GitHub based on specific code patterns.
- Validating findings from a code-patent-scanner to build a technical research strategy.
- Mapping implementation evidence like file paths and git commits to specific technical claim angles.
- Generating differentiation questions to identify the unique technical advantages of a new implementation.
- Preparing a structured research roadmap for self-directed intellectual property due diligence.
How Code Patent Validator Works
- The skill receives input from a scanner, typically in the form of a patterns.json file containing scored technical findings.
- It validates the input structure to ensure all metadata, patent signals, and claim angles are present for analysis.
- For every identified pattern, the tool generates multi-source queries tailored for Boolean patent searches and functional open-source searches.
- It assigns a search priority order (e.g., searching GitHub before Patents for algorithmic patterns) to optimize research time.
- The skill builds a JB-4 evidence map, linking specific claim angles to concrete implementation data like source lines and benchmarks.
- Finally, it produces a structured JSON or Markdown report containing the full research strategy, differentiation prompts, and an evidence checklist.
Code Patent Validator Setup
To utilize this skill within your Openclaw Skills workflow, you should first have the code-patent-scanner configured to generate initial findings.
# Install the validator via your agent interface
/install code-patent-validator
# Ensure you have the necessary scanner output
# Then, provide the patterns.json to the validator
validate patterns.json
Code Patent Validator Data Schema & Taxonomy
The Code Patent Validator produces a structured output that organizes research data into actionable categories:
| Component | Description |
|---|---|
validation_metadata |
Tracks the source scanner output, date, and number of patterns processed. |
search_queries |
A collection of Boolean and functional strings for Google Patents, USPTO, GitHub, and Stack Overflow. |
search_priority |
A guided list of which databases to search first based on the pattern type (e.g., Algorithmic vs Architectural). |
evidence_map |
A detailed provenance chain linking claims to source files, commit IDs, and design documentation. |
analysis_questions |
A set of technical prompts designed to help the user identify and document unique differentiators. |
Code Patent Validator Advanced Features
- Multi-source query generation that creates variations for exact, functional, and broader category searches.
- Intelligent search prioritization that adapts its recommendations based on whether a pattern is algorithmic, architectural, or data-structure focused.
- JB-4 Provenance Mapping to create a clear trail from abstract technical claims to concrete implementation details.
- Automated synergy assessment prompts to help users identify if a combination of code patterns produces an unexpected technical benefit.
- Seamless integration with other Openclaw Skills to facilitate a full workflow from code analysis to technical disclosure.
SKILL.md
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