specforge (Claude Market) — agentic threat model
Specforge presents a moderate-to-high risk profile due to its orchestrated build pipeline and code generation capabilities, which could be exploited to inject malicious dependencies or backdoors into production-ready application scaffolding.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.40 |
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 — relies on underlying Claude models; vulnerable to prompt injection that could alter the generated OpenAPI or DB schemas, leading to downstream code vulnerabilities.
Processes OpenAPI specifications and database schemas as input data. Risks include schema poisoning where malicious inputs lead to the generation of insecure database queries or vulnerable API endpoints.
Orchestrates a build pipeline to generate typed code. Vulnerable to insecure tool integration if the code generator or build orchestrator executes unvalidated commands or handles file paths unsafely.
Not certain from the listing — the execution environment for the orchestrated build pipeline is unspecified. If run locally or in an unsandboxed container, it poses a severe risk of host compromise during code generation and compilation.
Not certain from the listing — no built-in evaluation, logging, or guardrails are mentioned to verify the safety or integrity of the generated code before it is written to disk.
Not certain from the listing — lacks explicit mention of access controls, code signing, or compliance frameworks to govern who can trigger builds or modify schemas.
Involves skills and agents that generate code and orchestrate builds. Risks include cascading failures if a compromised code-generation agent feeds malicious scaffolding into the orchestration pipeline.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).