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Security audit

Amazon Product Scraper

Security checks for vulnerabilities and agentic risk

Overview

This skill coherently scrapes user-requested Amazon product pages and saves a local competitive-analysis report, with no hidden code or credential use found.

Install only if you want a Chinese-language Amazon competitor-analysis workflow. Be aware it opens Amazon pages with the browser tool and saves each generated report locally under memory/, so avoid including sensitive internal notes unless you are comfortable with that local persistence.

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 (2)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill explicitly writes a report to a local memory path without clearly telling the user up front that a file will be created as part of normal operation. Undisclosed persistence can surprise users, retain scraped third-party content longer than expected, and create privacy or workspace hygiene issues if sensitive inputs, proprietary analysis, or product research are stored automatically.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
80% confidence
Finding

The natural-language description presents the skill in Chinese and the report template/output instructions are also Chinese-centric, with no indication that users may choose another language. This can violate language/locale policy when a skill forces a specific language without user opt-in.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.