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Security audit

perception-design-system

Security checks for vulnerabilities and agentic risk

Overview

This is a Chinese-language UX design methodology skill with no executable behavior, though its financial-product persuasion guidance should be applied carefully.

Install this only if you are comfortable using a Chinese-language UX methodology. For finance, credit, repayment, health, or other sensitive workflows, treat its conversion-oriented suggestions as design prompts rather than compliance guidance, and review final designs for user autonomy, clear disclosures, fairness, and applicable regulations.

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
Vulnerability Patterns
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (5)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The skill is effectively written only in Chinese while describing itself as broadly applicable. In a multilingual agent environment, this can lead to misinterpretation, partial parsing, or silent misuse by users or downstream systems that assume English-readable constraints and instructions, increasing the chance of design errors in trust and safety-sensitive UX contexts.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill declares applicability to finance, e-commerce, SaaS, tools, and then states the core proposition applies to all software products. This over-broad scope can cause an agent to invoke the skill in contexts far beyond its validated domain, leading to inappropriate guidance for sensitive workflows such as security, compliance, or high-risk decision interfaces.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The referenced section operationalizes high-intensity persuasion for lending flows using language like '明显引导', '按钮强烈召唤', and '醒目颜色', especially in conversion-sensitive moments such as cash-loan details and repayment. In a financial-product design skill, this is dangerous because it can normalize dark-pattern tactics that materially steer user decisions without any balancing guidance on informed consent, fairness, or avoidance of undue pressure.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

This file contains user-facing natural language entirely in Chinese, including the operative license terms, with no indication that other language options are available. Under the stated policy, forcing a specific language without user opt-in can be a locale-policy violation unless the constraint is documented and justified.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
79% confidence
Finding

The file is entirely written in Chinese for its substantive instructions and descriptions, with no indication that users can choose another language or locale. Under the stated policy, forcing a specific language without user opt-in is a natural-language policy concern.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.