← CLI for Agents (Cursor plugin)
CLI for Agents (Cursor plugin) — agentic threat model
This agent acts as a static guidance and rule-set plugin for Cursor, presenting low direct agentic risk, but it carries indirect risk by shaping the security posture (idempotency, dry-runs, and error handling) of CLIs generated for other agents to execute.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.20 | |
| 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 plugin relies on the host Cursor LLM (e.g., GPT-4 or Claude). It does not ship its own foundation model, but it is susceptible to prompt injection or model misalignment that could bypass the CLI design rules.
Not certain from the listing — The plugin operates on local workspace files and rules within Cursor. There is no dedicated vector database or external RAG pipeline mentioned beyond the local codebase context.
The plugin provides rules and prompts to guide code generation. The primary framework risk is indirect: if the rules are bypassed or manipulated, the agent may generate insecure, non-idempotent, or destructive CLI tools that other agents will execute.
Not certain from the listing — The plugin runs locally within the user's Cursor IDE environment. It inherits the host system's security posture, local file permissions, and lack of sandboxing for executed CLI commands.
Not certain from the listing — There are no built-in observability, logging, or guardrail mechanisms mentioned for verifying whether the generated CLIs actually adhere to the safety and dry-run guidelines.
Not certain from the listing — No explicit authentication, authorization, or compliance auditing mechanisms are described for this open-source ruleset.
The plugin specifically targets the ecosystem of 'coding agents' that run CLIs. A failure in this plugin's guidance can lead to cascading failures when downstream execution agents run poorly designed, non-idempotent CLI tools.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).