ClawHub
Back to skill

Security audit

ecommerce-product-selector

Security checks for vulnerabilities and agentic risk

Overview

This is a markdown-only e-commerce product-analysis skill with disclosed, purpose-aligned behavior and no executable code, persistence, credential handling, or hidden authority.

Before installing, treat its product and profit recommendations as advisory only, especially because the skill provides no implementation details or source for market data. Be mindful when sharing private product links or business strategy queries with any agent workflow that may browse external platforms.

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
  • 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 (2)

Vague Triggers

Medium
Confidence
92% confidence
Finding
The invocation examples are very broad and do not clearly define when the skill should or should not activate, which can cause over-triggering on loosely related shopping, pricing, or link-analysis requests. In an agent environment, this increases the chance the skill is invoked on unintended inputs, potentially causing unnecessary external analysis of user-supplied product URLs or commercially sensitive queries without clear user intent boundaries.

Natural-Language Policy Violations

Low
Confidence
95% confidence
Finding
The manifest description forces a specific language presentation for the skill, and the rest of the file continues in Chinese without indicating that users may choose another language. Under the policy, language constraints should be opt-in or clearly justified as region-specific; neither is stated here.

Static analysis

No suspicious patterns detected.