Connected Device Security Assessment is a skill published by agensi that gives an AI agent a structured framework for conducting defensive security reviews of IoT and Operational Technology devices. Rather than relying on open-ended prompting, the skill enforces quality gates that keep findings grounded in supplied evidence, distinguishing confirmed vulnerabilities from evidence gaps to avoid fabricated results.
The skill covers a wide surface area: hardware interfaces, firmware configurations, network protocols, cloud APIs, and mobile companion applications that accompany connected devices. It is vendor-agnostic, meaning it applies equally to consumer electronics, enterprise appliances, industrial sensors, and OT gateways.
An agent using this skill works through a formal review lifecycle — from initial scoping and gap analysis through to a prioritized remediation plan. Results can be mapped to the severity models and compliance frameworks a team already uses. The skill accepts inputs such as packet captures, vulnerability scan output, and architecture diagrams, and produces structured output intended for enterprise governance audiences.
The focus is explicitly defensive: the skill produces actionable hardening recommendations rather than exploit guidance. This makes it suited to security engineers, product security teams, and consultants who need repeatable, evidence-backed assessments rather than ad hoc analysis. It is not an active scanning or exploitation tool and does not connect to live devices or networks on its own.