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Security audit

Exercise Bike Buying Consultant

Security checks for vulnerabilities and agentic risk

Overview

This is a coherent exercise-bike buying advice skill with no executable code or hidden system behavior, though it asks for some personal context to tailor recommendations.

Before installing, be aware the skill may ask for height, approximate weight capacity needs, injuries, home setup, and coarse location. Share only the level of detail you are comfortable with, such as country or broad region, especially if you do not need localized warranty or availability advice.

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
  • 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 (1)

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
89% confidence
Finding

The skill explicitly asks for the user's country and roughly their city or region, which is personal location data. Although the stated functional purpose is regional standards, availability, and warranty support, the skill does not include a privacy notice, data-minimization guidance, or an explanation that the user can provide only coarse location information; this creates unnecessary privacy risk through overcollection.

Content

No source excerpt is available for this finding.