timeline-creator — agentic threat model
The timeline-creator is a low-autonomy visualization tool with minimal agentic risk, primarily vulnerable to prompt injection leading to malicious HTML generation (XSS) or path traversal during file writing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 underlying LLM is not specified. Standard LLM risks like prompt injection could lead to generating malicious HTML (XSS) or distorted timelines.
Not certain from the listing — No dedicated vector database or complex RAG is mentioned. Risks are limited to the input project data provided during the session.
The agent framework orchestrates the skill to write self-contained HTML files. Threat: Insecure tool integration (e.g., path traversal if the file-writing tool allows arbitrary paths, or injection of malicious scripts into the generated HTML).
Not certain from the listing — The hosting environment for this skill is not specified. If run locally or in an unsandboxed container, writing files poses a risk of local file overwrite or execution.
Not certain from the listing — No built-in evaluation, logging, or guardrails are mentioned for this community skill.
Not certain from the listing — There is no mention of authentication, authorization, or compliance controls for this open-source plugin.
This is a 'Community Agent Skill' (plugin). Threat: If integrated into a larger multi-agent system, a compromised upstream agent could feed it malicious data to generate phishing roadmaps or execute XSS.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).