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Security audit

brand-identity-design

Security checks for vulnerabilities and agentic risk

Overview

This skill is a brand visual identity workflow with no executable code, network behavior, credential use, or persistence.

Install this as a structured brand identity design assistant. Be aware that it may steer work through a rigid six-stage process and may use English section headings even for non-English prompts, but it does not request sensitive access or install executable behavior.

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
  • Behavioral ASTexec() Call, eval() Call, Dynamic Import
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (4)

Intent-Code Divergence

Medium
Category
Not specified by scanner
Confidence
86% confidence
Finding

L176 states the skill 'MUST NOT generate or propose brand names, taglines, or copy' because verbal identity is outside scope. However, the required output template at L185 uses '# Brand Strategy: [Project Name]', which directs generation of a project/brand naming label in deliverables, creating a direct documentation-level contradiction about whether naming/verbal content is permitted.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

This JSON eval file contains a natural-language prompt written entirely in Chinese, which implies the skill is expected to operate in a specific language context. Under the policy, forcing a specific language without user opt-in or clear justification is a locale-policy concern, and the file does not document any opt-in or region-specific limitation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The file includes Chinese keywords in the description, suggesting multilingual use, but the mandatory output format is fixed to English labels such as 'Brand Strategy', 'Stage Progress', and 'Quality Gate Status'. This creates a locale-policy concern because the skill imposes a specific language format without offering user opt-in or documenting a justified language constraint.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
83% confidence
Finding

This JSON file contains one English prompt and one Chinese prompt, but provides no natural-language indication that the skill supports multiple languages by user choice or that locale selection is intentional. Under the policy rule, forcing or assuming a language/locale without explicit opt-in can be a documentation-level policy concern.

Content

No source excerpt is available for this finding.