mermaid-tools — agentic threat model
This agent presents a high-risk profile due to its ability to execute local scripts and write files directly to the host system, creating a direct vector for remote code execution if malicious markdown is processed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.20 | |
| 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 agent relies on an unspecified underlying LLM to parse markdown and identify Mermaid syntax, leaving it vulnerable to prompt injection that could manipulate the extraction logic.
The agent reads markdown files and writes PNG images to the host. There is a risk of data exfiltration or local file overwrite if input file paths are not strictly sanitized.
The agent uses bundled scripts to render Mermaid diagrams. Insecure tool integration is a major threat here, as malicious Mermaid code could exploit vulnerabilities in the underlying renderer (e.g., Chromium/Puppeteer sandbox escapes).
The agent runs directly on the host to write image files and execute rendering scripts. Without explicit containerization or sandboxing, this poses a severe risk of host compromise and privilege escalation.
Not certain from the listing — There is no mention of logging, input validation guardrails, or execution monitoring to detect malicious payloads within the markdown or Mermaid code.
As an open-source community skill, there are no apparent access controls, authentication mechanisms, or compliance certifications governing its execution on the host.
If integrated into a larger multi-agent workflow, other agents could pass untrusted markdown inputs to this tool, leading to cascading failures or host exploitation across the ecosystem.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).