repomix-safe-mixer — agentic threat model
The repomix-safe-mixer agent operates with moderate risk as a local utility wrapping codebase packaging and credential scanning. Its primary hazards stem from potential tool misuse, bypass of credential detection, or accidental exposure of sensitive source code during packaging.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.10 | |
| 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, but vulnerabilities like prompt injection could theoretically trick the model into misclassifying or ignoring hardcoded credentials during the scanning phase.
The agent directly ingests codebase files and outputs packaged repositories. Risks include data exfiltration if the packaged output is sent to unauthorized destinations, or data poisoning if malicious source files manipulate the packaging logic.
The agent orchestrates repomix and credential-scanning tools. Insecure tool integration or command injection via malformed repository files could allow arbitrary code execution within the agent's execution context.
Not certain from the listing — The hosting environment is unspecified, but because it touches source files and secrets, running without strict container sandboxing poses a high risk of host compromise or privilege escalation.
Not certain from the listing — There is no mention of logging, evaluation, or guardrails to verify that the credential-scan logic successfully detected all secrets before writing the packaged output.
Not certain from the listing — The agent lacks explicit identity, authorization, or compliance controls, relying entirely on the user's local environment or execution platform policies.
As a standalone community agent skill, there are no multi-agent interactions or marketplace integrations described, minimizing ecosystem-level cascading risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).