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Security audit

Content Scraper — AI Trend Monitor

Security checks for vulnerabilities and agentic risk

Overview

This skill performs disclosed trend monitoring and reporting, with no hidden code or destructive behavior found.

Before installing, confirm that sources.json contains only sources and API credentials you intend the agent to use, that reports may be written under data/, and that the configured notification channel is appropriate for sharing derived trend summaries.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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

Medium
Confidence
91% confidence
Finding
The skill explicitly directs the agent to write a report to a local file and send a notification, but it does not disclose these side effects or require user confirmation. In an agent environment, silent file creation and outbound notifications are data-affecting actions that can surprise users, overwrite existing artifacts, or leak derived information through notification channels.

Static analysis

No suspicious patterns detected.