Security audit

iot-engineer

Security checks for vulnerabilities and agentic risk

Overview

This is a Markdown-only IoT engineering guidance skill with no hidden execution, persistence, or credential-handling behavior found.

Install this when you want IoT engineering assistance, but review any generated firmware, cloud, device-management, or deployment changes before applying them to real infrastructure.

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 (1)

Vague Triggers

Medium

Category: Not specified by scanner
Confidence: 88% confidence
Finding: The skill's invocation section is broadly defined and lacks concrete trigger boundaries or explicit scoping constraints, which can cause the agent to activate in situations outside intended IoT engineering tasks. In a multi-skill environment, ambiguous activation increases the risk of inappropriate tool use, overbroad access to project context, or unintended interference with other specialized agents.
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.