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claude-familiar — agentic threat model

7.4AIVSS 7.4 · High

claude-familiar is a low-risk, local companion plugin for Claude Code focused on personality and interactive commands. Its primary security exposure lies in its extensibility interface (x-familiarExtensions) and hook-driven state changes, which could be targeted by malicious local plugins or prompt injections.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 0.91Factor sum 2.6/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.10
Self-Modification
0.30
Dynamic Tool Use
0.20
Persistent Memory
0.30
Contextual Awareness
0.40
Dynamic Identity
0.10
Multi-Agent Interactions
0.30
Non-Determinism
0.50
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.

L1 · Foundation Models✓ mapped

Relies on Claude Code's underlying foundation models. Primary threats include prompt injection via interactive commands (e.g., roast, fortune) that could manipulate the companion's mood or output behavior.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — the agent uses a local personality/mood/lore system, but there is no mention of a dedicated vector database, RAG pipeline, or external data operations.

L3 · Agent Frameworks✓ mapped

Orchestrates state (mood shifts) based on tool success/failure hooks. Vulnerabilities could arise if malicious inputs or tool outputs trigger unexpected state transitions or exploit the hook-handling logic.

L4 · Deployment & Infrastructure✓ mapped

Runs locally as a plugin within the Claude Code CLI environment. The primary threat is local file/environment access if the plugin or its dependencies are compromised.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — there is no mention of built-in evaluation, logging, or guardrail mechanisms to monitor the companion's outputs or mood shifts.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — as an open-source local plugin, it lacks explicit enterprise security, compliance certifications, or access control policies.

L7 · Agent Ecosystem✓ mapped

Exposes an extensibility point via the 'x-familiarExtensions' field in plugin.json. This introduces risks of ecosystem-level threats, where a compromised or malicious third-party plugin exploits this interface to inject unauthorized behaviors.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).