cli-demo-generator — agentic threat model
The cli-demo-generator poses a high security risk due to its capability to execute CLI commands via VHS and ffmpeg for demo recording, which could be exploited via prompt injection to achieve arbitrary code execution if not strictly sandboxed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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.
Not certain from the listing — The listing does not specify the underlying LLM used to generate the tape-files or orchestrate the demo steps. Standard LLM risks like prompt injection leading to malicious CLI command generation apply.
Not certain from the listing — No details on training data or vector stores are provided. However, input tape-files or demo scripts could be poisoned or manipulated to execute unauthorized commands.
The agent orchestrates tape-file creation, self-bootstrapping, and frame-level verification. The primary threat is tool misuse or insecure tool integration, as the agent executes CLI commands via VHS/ffmpeg, which could be hijacked via prompt injection.
Not certain from the listing — The agent runs VHS/ffmpeg and writes GIFs, implying it requires a local or containerized execution environment with shell access. Without strict sandboxing, this poses a severe risk of container escape or host compromise.
The agent performs frame-level verification and output-noise filtering to validate the generated GIF. However, there is no mention of security-focused guardrails or logging to detect malicious CLI command execution.
Not certain from the listing — There are no mentioned authentication, authorization, or policy enforcement mechanisms to restrict what CLI commands the agent can execute during the bootstrapping or recording phase.
Not certain from the listing — As a Community Agent Skill, it may be integrated into larger agentic workflows, potentially allowing other untrusted agents to trigger arbitrary CLI demo generation and execute malicious commands.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).