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Security audit

LinkedIn Profile Optimizer

Security checks for vulnerabilities and agentic risk

Overview

This is a plain Markdown LinkedIn profile rewriting skill whose requested profile text is purpose-aligned, though users should redact sensitive details before pasting.

Before installing or using this skill, redact contact details, private URLs, confidential employer or client information, and any third-party personal data from the LinkedIn text you paste. The skill itself is a prompt-only profile optimizer and does not install code or request account access.

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 (1)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The skill instructs users to paste full LinkedIn profile sections, including experience entries and optional featured content, without any warning to avoid sharing sensitive personal, confidential, or third-party information. This creates a realistic privacy risk because users may disclose employer-confidential details, client names, personal identifiers, or other data that is unnecessary for optimization and could be retained or exposed downstream.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.