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Security audit

Meeting Assistant

Security checks for vulnerabilities and agentic risk

Overview

This is a simple meeting-assistant skill with purpose-aligned behavior; the main caution is that meeting transcripts may contain sensitive information.

Before installing or using it, treat meeting transcripts as potentially sensitive. Use it only with appropriate participant consent and organizational approval, and avoid submitting confidential, legal, personnel, customer, or regulated information unless your environment and data-handling policy allow it.

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 (2)

Missing User Warnings

Medium
Confidence
90% confidence
Finding
The skill advertises real-time transcription and minute generation for meetings, which commonly contain sensitive business, legal, personnel, or customer information, but it provides no privacy, consent, retention, or data-handling warnings. This can lead users to submit confidential meeting content to an AI workflow without understanding the exposure, increasing risk of unauthorized disclosure or policy noncompliance.

Natural-Language Policy Violations

Low
Confidence
93% confidence
Finding
The usage example includes Chinese comments and example content, which effectively imposes a specific language context in part of the skill documentation. There is no indication that the skill supports multiple languages or that Chinese is a deliberate, justified locale restriction.

Static analysis

No suspicious patterns detected.