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Security audit

Afrexai Ux Research Engine.Bak

Security checks for vulnerabilities and agentic risk

Overview

This is a Markdown-only UX research template skill with no hidden execution, but users should handle participant data and recordings with normal privacy controls.

Safe to install for UX research templates. Before using it with real participants, make sure recruiting uses consented or otherwise approved contact lists, recording consent is explicit, personal data is minimized, and notes or recordings are stored with retention limits and restricted access.

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
  • 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
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (3)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

Recommending recruitment from an existing user database without any notice about lawful basis, consent, purpose limitation, or outreach disclosure can encourage misuse of customer data for research recruitment. Because this is presented as a best-quality channel, operators may follow it by default and contact users in ways that violate privacy expectations or internal policy.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill instructs users to record sessions and store participant notes, demographics, quotes, and recordings in a repository, but it does not warn about consent, retention limits, access controls, de-identification, or applicable privacy laws. In a UX research context this is actionable operational guidance, so omission can directly lead to over-collection or insecure storage of sensitive participant data.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
78% confidence
Finding

The example screener includes "language: [e.g., English-fluent]", which can normalize a default language constraint without explaining when such a restriction is justified. Under the policy, forcing a specific language without user choice or clear locale-specific rationale can be a natural-language policy violation.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.