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Security audit

openai-tts

Security checks for vulnerabilities and agentic risk

Overview

This is a simple OpenAI text-to-speech guidance skill with expected API use and local audio output examples.

Before installing, treat text submitted for speech synthesis as data sent to OpenAI's API and choose output paths intentionally because the examples create local audio files. No evidence suggests hidden execution, persistence, or unrelated data access.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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

Low
Category
Not specified by scanner
Confidence
92% confidence
Finding

This is a markdown file, so SQP-2 applies to omitted warnings in the skill description. The document describes text-to-speech generation but does not explicitly disclose that input text is transmitted to an external API and that examples create local output files, both of which can affect privacy or user data handling.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
81% confidence
Finding

SQP-3 applies to natural-language policy violations in any file type. The phrase 'English optimized' introduces a locale preference in the documentation, but the skill does not provide user opt-in, alternatives, or a clear justification that the skill is intentionally region- or language-specific.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.