Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
蒋道理｜商标异议·无效申请推理引擎（SJ-IRAC）
商标异议·无效申请推理引擎（SJ-IRAC）：基于法条要件、证据链与风险分级的专业级审查与攻防系统。
skill openclawclawhub Free
商标异议·无效申请推理引擎（SJ-IRAC）：基于法条要件、证据链与风险分级的专业级审查与攻防系统。
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Package facts
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- Yavira redirect
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- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- risk-engine.txt, core.txt, workflow.txt, SKILL.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.2
Provenance
- Publisher
- jisngzhongling
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Documentation
商标异议·无效申请推理引擎（SJ-IRAC）
Author: Jiang Zhongling (商标蒋道理) Organization: Nantong Zhongnan Quansheng IP Co., Ltd. Version: 1.1.2 Last Updated: 2026-02-03
Summary (for ClawHub)
A law-firm-grade CNIPA Opposition / Invalidation engine that turns case materials into examiner-readable attack briefs with IRAC, SJ-6 evidence chains, and A–E risk gates. No templates. No fluff. No fabricated facts.
What This Skill Does
This skill ingests CNIPA registry data + case facts + evidence inventory and outputs: Ground selection system (main + auxiliary, prioritized) Element-by-element legal reasoning (Article-precise, guideline-aligned) SJ-6 evidence chain map (proof purpose + timeline + weak-link detection) Stop-loss decisions (standing / time-bar / admissibility / EV-cost kill gates) Submission-ready structure (Document Mode) Constraint: No generic AI writing. No speculative conclusions. Only verifiable, evidence-backed reasoning.
v1.1 Highlights (Operational Upgrades)
Standing & Limitation Control (Hard Gate) Eligibility screening before any drafting Time-bar traps surfaced early (relative grounds / 5-year logic where applicable) “不能打”的案子直接止损，不堆字 Procedural Control Review Deadline control and procedural admissibility checks Suspension triggers / coordination with parallel proceedings Evidence form compliance checks (source, integrity, probative chain) Risk Engine Refinement (Kill Gates) Procedural / discretionary fatal-defect gates EV-cost stop-loss when expected value < cost Evidence weakness quantified and action-ranked
Primary Scope
CNIPA Opposition CNIPA Invalidation (absolute grounds; relative grounds where legally available)
Core Mission
Convert dispute materials into a decision-grade argument system: Which grounds to use (and in what order) Which elements must be proven Which evidence carries probative weight Which defects are fatal (stop-loss) How to write in a CNIPA examiner-readable structure
Not a Template Pack
This is an argument + evidence engineering engine, not a folder of sample briefs.
Legal Basis (Bounded Sources)
Operates strictly within: PRC Trademark Law (2019 Amendment) Implementing Regulations CNIPA Examination & Adjudication Guidelines / review norms Nice Classification + Similar Goods/Services Classification (use your latest internal table) Prohibited Fictional statutes, fictional cases, invented timelines “Common sense” replacing evidence Fame/renown claims without third-party proof
1) IRAC (Mandatory, Examiner-Oriented)
Issue: define disputes (grounds, parties, marks, timeframe, target goods/services) Rule: map statutes + guideline purpose + elements + burden/standard Application: match evidence to elements (逐要件对应，不做假设) Conclusion: enforceable outcome + next-step plan (补证/改路/止损)
2) SJ-6 Evidence Chain (Mandatory)
Each item is scored under: Authenticity Relevance Completeness Temporal validity Logical consistency Cross-examination resistance Evidence organization rules Timeline-first Each exhibit must have an explicit proof purpose Identify the weakest link and the minimum supplementation set
3) Risk Module (A–E + Kill Gates)
Outputs include: Risk Level: A / B / C / D / E Risk Dimensions: Substantive / Evidentiary / Procedural / Discretionary / EV-cost Kill Gates: standing缺失、时效障碍、证据不可核验、路径不适配、成本倒挂等
Supported Scenarios
Opposition: absolute / relative grounds (route-prioritized) Invalidation: absolute grounds; relative grounds within applicable time limits Bad-faith pattern attack: serial filings / hoarding / imitation patterns Cross-class confusion reasoning: confusion → similarity inference where supported Evidence gap diagnosis: replace low-value evidence; build high-signal chain Overloading control: avoid “全都写上”造成裁量反噬
Input Requirements (Minimum Viable Case Packet)
Provide at least: Target trademark number(s), status, filing/registration dates Parties and relationship clues (if any) Designated goods/services + class(es) Case timeline (publication/registration + prior use milestones) Intended grounds (optional; engine can propose) Evidence inventory: source / date / type / brief / proof purpose (if known) If inputs are incomplete → conservative output by design.
Quick Mode (Fast Triage)
rule positioning route shortlist (main/aux) key evidence checklist go/no-go (no full IRAC)
Pro Mode (IRAC + SJ-6 + Risk)
full IRAC evidence chain diagnosis + weak-link list A–E risk rating + kill-gate triggers conservative success probability range action plan + supplementation list (ranked by ROI)
Document Mode (Submission-Ready)
neutral official tone statute + evidence driven no probabilistic language paragraphing optimized for CNIPA examiner reading exhibits indexed + proof-purpose mapping + timeline tables (if provided)
Compliance & Hard Constraints
No fabricated facts, transactions, screenshots, or dates No speculation without evidentiary support No inflated influence/fame claims without third-party proof Always surface: weakest link + minimum fix If expected value < cost → advise against proceeding + alternatives
Typical Use Cases (Law-Firm Grade)
CNIPA opposition brief drafting (attack route selection + structure) CNIPA invalidation petition drafting (absolute/relative route control) Bad-faith chain construction (pattern proof + linkage logic) Evidence packet engineering (what to keep / replace / add) Client-facing risk memo (non-guarantee, cost-aware, decision-grade)
How to Use
Provide registry data + facts + evidence inventory Choose mode: Quick / Pro / Document Receive: prioritized grounds, element-based reasoning, evidence chain + gaps, risk rating + next actions, (Document Mode) submission-ready structure.
Versioning Notes
Patch (x.y.z): doc/consistency fixes Minor (x.y.0): new modules / workflow upgrades Major (x.0.0): architecture changes
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Files1 Docs
- SKILL.md
- core.txt
- risk-engine.txt
- workflow.txt