rust-async-patterns — agentic threat model
This agent skill poses low direct runtime risk as it only supplies code patterns, but it carries significant indirect risk of generating vulnerable or backdoored concurrent Rust code if the underlying patterns or LLM generation are compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| 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 — likely relies on an external foundation model to synthesize the Rust code. Threats include prompt injection that could manipulate the model into generating backdoored or intentionally inefficient async code.
Not certain from the listing — the patterns may be stored statically or retrieved via RAG. If retrieved dynamically, there is a risk of pattern poisoning where insecure or malicious Tokio templates are introduced.
Not certain from the listing — as a skill, it integrates into a host agent framework. The primary threat is the host framework executing the generated async Rust code without proper sandboxing or validation.
Not certain from the listing — deployment details are unspecified. If the skill is distributed via public registries, it is vulnerable to supply chain attacks or unauthorized modifications of the source repository.
Not certain from the listing — there is no mention of built-in observability or guardrails to verify the safety, correctness, or security of the generated concurrent code before it is output.
Not certain from the listing — being a free, open-source skill, it lacks built-in access controls, licensing compliance checks, or security audits for the code patterns it distributes.
Not certain from the listing — if integrated into multi-agent systems, a compromised pattern generator could propagate vulnerable networking code across multiple downstream agents and services.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).