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Security audit

Lofy Career

Security checks for vulnerabilities and agentic risk

Overview

This career-tracking skill fits its job-search purpose, but it would persist sensitive career information too broadly and without clear user confirmation.

Install only if you are comfortable with the assistant maintaining a persistent job-application file and reading career-profile information. Treat career conversations as potentially state-changing unless the skill is revised to require confirmation before writing updates.

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
Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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 (3)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The skill description includes broad activation language such as general job-search assistance tasks without strong guardrails on when it should engage. In an assistant environment, that can cause unintended invocation during ordinary conversation, exposing personal career context or triggering follow-on actions the user did not explicitly request.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The natural-language update triggers are ambiguous shortcuts that map casual phrases like 'heard back' or 'got an offer' directly to workflow updates. This creates a risk of unintended skill activation or incorrect state changes when the user is speaking hypothetically, quoting someone else, or providing partial information.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The instruction to update the JSON immediately after any career conversation mandates persistent writes without user notice or consent boundaries. In practice, this can silently store sensitive employment information, create inaccurate records from exploratory chats, and normalize state changes without confirmation.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.