A law-firm-grade reasoning engine that transforms CNIPA refusal notices into examiner-ready IRAC briefs and verified evidence chains.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jiang-irac-refusal
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 jiang-irac-refusal 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 SJ-IRAC Trademark Refusal Reasoning Engine?
The SJ-IRAC Trademark Refusal Reasoning Engine is a sophisticated legal-AI tool designed for intellectual property professionals handling CNIPA trademark disputes. Unlike generic templates, this Openclaw Skills contribution employs a rigorous IRAC (Issue, Rule, Application, Conclusion) framework and SJ-6 evidence chain engineering to ensure every argument is rule-bound and factually verifiable.
By integrating the 2019 China Trademark Law and official CNIPA guidelines, the engine provides high-fidelity reasoning for Article 10, 11, 30, and 32 refusals. It prioritizes risk mitigation through an A–E decision matrix and Kill-Gates, ensuring that users only proceed with viable, cost-effective legal strategies. This ensures that Openclaw Skills users can deliver high-quality, submission-ready legal documents without the risk of fabricated facts or hallucinated case law.
SJ-IRAC Trademark Refusal Reasoning Engine Use Cases
- Analyzing Art.30 similarity refusals to generate element-by-element comparison tables.
- Deconstructing Art.11 distinctiveness issues into descriptive, generic, or promotional categories.
- Assessing Art.10 policy risks to provide compliant naming alternatives.
- Building SJ-6 evidence chains for Art.32 prior right defenses with strict timeline verification.
- Strategic planning for "attack or bypass" routes against cited trademarks using Openclaw Skills logic.
How SJ-IRAC Trademark Refusal Reasoning Engine Works
- Input the refusal notice text or key segments along with the application and cited trademark numbers.
- The engine identifies the legal issue (Issue) and maps it to the specific China Trademark Law clauses (Rule).
- Logic is applied (Application) through comparison tables, timelines, and evidence binding.
- A risk evaluation (A–E) determines the viability and ROI of the review.
- The system outputs a structured brief (Conclusion) in Document Mode for direct submission.
SJ-IRAC Trademark Refusal Reasoning Engine Setup
To integrate this engine into your environment, use the standard installation workflow for Openclaw Skills:
# Add the skill to your local AI agent
openclaw skills add jiang-irac-refusal
# Verify installation and legal database version
openclaw skills info jiang-irac-refusal
SJ-IRAC Trademark Refusal Reasoning Engine Data Schema & Taxonomy
| Component | Description | Format |
|---|---|---|
| IRAC Brief | Core legal reasoning structured for CNIPA examiners | Markdown |
| SJ-6 Chain | Evidence verification (Source -> Date -> Purpose -> Counter-question) | Table |
| Risk Report | A–E ranking with Kill-Gate triggers and ROI analysis | List |
| Action Plan | Ranked list of legal steps (e.g., Division, Nullification) | Unordered List |
SJ-IRAC Trademark Refusal Reasoning Engine Advanced Features
- Document Mode for generating neutral, examiner-friendly official document structures.
- Pro Mode for deep SJ-6 evidence diagnostics and weak-point identification.
- Kill-Gate logic to prevent unnecessary costs on high-risk or low-ROI cases within Openclaw Skills.
- Multi-scenario support for complex refusals involving multiple articles of the Trademark Law.
- Automated ROI sorting for recommended legal actions based on current CNIPA examination trends.
SKILL.md
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