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Security audit

Data Pipeline Toolkit

Security checks for vulnerabilities and agentic risk

Overview

This is a small ETL documentation skill with broad data-movement examples, but no bundled executable code, hidden behavior, or persistence mechanism.

Before using this skill for real pipelines, confirm source and destination systems, use least-privilege credentials, test on non-sensitive data first, and validate that no private or regulated data is copied to unintended locations.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (2)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

The skill explicitly instructs users to create and run ETL pipelines that interact with external APIs, databases, files, cloud storage, queues, and data warehouses, but it provides no warning that these actions can read, transmit, transform, and persist real data. In an agent skill context, that omission is risky because users or downstream automation may execute commands without understanding the external side effects, credential use, or potential exposure of sensitive data.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The manifest description claims the skill can 'build ETL and data pipelines' and work with data from APIs, databases, files, and load to 'any destination', which is an overly broad scope statement. Broad capability claims can cause an agent or user to over-trust the skill with powerful data movement operations, increasing the risk of unsafe use, excessive permissions, or misuse across sensitive sources and sinks.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.