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Security audit

蒋道理｜商标异议·无效申请推理引擎（SJ-IRAC）

Security checks for vulnerabilities and agentic risk

Overview

This is a text-only CNIPA trademark legal-analysis skill that requests case and evidence details but does not install code, persist data, or send information elsewhere.

Use this only in an environment approved for client or legal matter data. Redact unnecessary personal, privileged, trade-secret, or commercially sensitive material, and have a qualified professional verify current CNIPA rules, deadlines, classifications, and any submission-ready text before filing.

A.I.G

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (2)

Missing User Warnings

Medium
Confidence
88% confidence
Finding
The skill is designed to ingest trademark registry data, party relationships, timelines, and evidence inventories, which can contain confidential, personal, or commercially sensitive legal materials. Without an explicit warning or handling guidance, users may paste sensitive case files into environments or workflows not approved for privileged or regulated information, creating avoidable privacy and confidentiality exposure.

Natural-Language Policy Violations

Medium
Confidence
88% confidence
Finding
The skill strongly steers users into CNIPA-oriented, examiner-readable output and does not clearly offer a language or locale choice. In a legal workflow, this can cause users to generate submissions or analysis in an unintended language or jurisdictional framing, increasing the risk of procedural mistakes, misunderstanding by non-Chinese-speaking users, or misuse outside the intended CNIPA context.

Static analysis

No suspicious patterns detected.