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Security audit

Growth Engineering Mastery

Security checks for vulnerabilities and agentic risk

Overview

This is a markdown-only growth strategy skill with no executable payload, persistence, or hidden system access, though users should apply privacy safeguards before following its analytics recommendations.

Before following the analytics setup advice, make sure session replay and event tracking are configured with user notice or consent where required, sensitive-field masking, limited collection, and retention controls. Treat the short command phrases as convenience triggers for growth analysis, not permission to make product or tracking changes without review.

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
Confidence
91% confidence
Finding
The skill recommends collecting detailed behavioral telemetry and session-recording data, including session duration and tools like Hotjar or FullStory, without pairing that guidance with consent, minimization, retention, or jurisdiction-specific privacy safeguards. This can lead implementers to deploy intrusive monitoring by default, creating legal, compliance, and user-trust risk if sensitive interactions are captured without adequate notice or controls.

Vague Triggers

Medium
Confidence
88% confidence
Finding
The skill exposes very broad natural-language activation phrases such as 'Analyze my funnel' and 'Optimize this page' that can easily match ordinary conversation, causing the skill to trigger when a user may not intend to invoke it. In an agent environment, this increases the risk of overbroad routing, unintended execution of growth workflows, and prompt-surface expansion where unrelated user content is reinterpreted as instructions for the skill.

Static analysis

No suspicious patterns detected.