transcribe — agentic threat model
This agent is a low-risk, single-purpose utility skill for audio transcription. Its primary security risks are concentrated around the handling of sensitive audio data and the exposure of the required OpenAI API key.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.10 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Uses OpenAI models for transcription. Primary threats include adversarial audio inputs designed to trigger unexpected model behavior, and transcription hallucinations or mis-aligned outputs.
Processes local audio/video files and outputs text/json. Main threats are data exfiltration of sensitive audio content to external OpenAI endpoints and lack of data lineage controls.
Operates as an Agent Skill running a bundled CLI. Risks include insecure tool integration if wrapped by a parent agent, and potential argument injection via unsanitized speaker hints or file paths.
Not certain from the listing — runs as a bundled CLI requiring local execution and an OPENAI_API_KEY. Threat of API key exposure in environment variables and lack of local sandboxing for the CLI binary.
Not certain from the listing — no built-in logging, evaluation, or guardrails are mentioned. Threat of blind spots regarding transcription accuracy and lack of audit trails for processed files.
Not certain from the listing — relies entirely on the host environment's file permissions and external API key management. Threat of compliance violations (e.g., GDPR, HIPAA) if transcribing PII/PHI without proper data processing agreements.
Designed as an Agent Skill to be integrated into larger systems. Threat of downstream agents blindly trusting the transcribed output, which could lead to cascading failures if the transcription is maliciously manipulated.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).