i18n-expert — agentic threat model
The i18n-expert agent poses a high security risk due to its capability to directly edit host source files and install packages, making it a prime target for prompt injection leading to arbitrary code execution or supply chain compromise.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
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 foundation model is not specified, but it is inherently vulnerable to indirect prompt injection via malicious source code comments or strings, which could hijack the agent's file-writing capabilities.
Not certain from the listing — no RAG or vector database is mentioned, but the agent reads local source files and locale JSONs, risking the exposure or exfiltration of sensitive hard-coded strings, API keys, or proprietary code during processing.
The agent framework orchestrates tools to edit host source files and run installation commands (e.g., installing i18next). Insecure tool integration or lack of strict input validation on file paths and package names could allow arbitrary file write or command execution.
Not certain from the listing — the hosting environment is not specified, but because it edits files 'on the host', running this agent without a secure, isolated sandbox (such as an ephemeral container) poses a severe risk of host compromise and privilege escalation.
Not certain from the listing — there are no mentioned guardrails, evaluation frameworks, or logging mechanisms to detect anomalous file modifications, directory traversal attempts, or malicious package installations.
Not certain from the listing — no authentication, authorization, or policy enforcement mechanisms are described, meaning the agent likely inherits the full write privileges of the user or service account running it.
As a free, open-source community agent skill, it may be integrated into larger developer workflows. A compromise of this skill or its repository could lead to downstream supply-chain attacks on any codebase it is permitted to modify.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).