AgentReadyHomeAgent Listing

← antfu

antfu — agentic threat model

6.6AIVSS 6.6 · Medium

The agent is an instruction-based skill for project scaffolding with very low autonomy, presenting primarily supply-chain risks if its opinionated recommendations are poisoned to inject malicious dependencies or configurations into downstream developer environments.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.3AARS uplift 0.33Factor sum 0.9/10Threat ×1.0Mitigation ×1.0
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
0.20
Dynamic Identity
0.00
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The underlying foundation model is not specified. Adversarial prompt injection could potentially bypass the intended conventions to recommend insecure dependencies or malicious configurations.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The data operations layer appears to consist of static, opinionated configuration files and rules. Knowledge poisoning of the source repository could lead to compromised scaffolding templates.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The agent functions as a 'skill' or instruction surface rather than an active orchestrator, meaning framework-level vulnerabilities are minimal unless imported into an active execution environment.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — No deployment infrastructure or sandboxing is detailed. If run locally by developers, the primary risk is the execution of untrusted setup commands on the host machine.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There are no mentioned observability, logging, or guardrail mechanisms to detect drift or malicious modifications in the generated configurations.

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

Not certain from the listing — No identity, access control, or compliance mechanisms are specified, relying entirely on the security of the hosting platform (e.g., GitHub).

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The skill does not appear to interact autonomously with other agents or marketplaces, limiting ecosystem-level cascading failures.

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