source-driven-development — agentic threat model
This agent is a specialized code-generation skill focused on grounding decisions in official documentation. Because it operates primarily as an instruction-surface modifier for code generation without direct execution capabilities or autonomous tool access, its overall agentic risk posture is low.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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.
The agent relies on an underlying LLM to parse documentation and generate code. It is vulnerable to prompt injection that could bypass the 'source-cited' constraint, leading to the generation of insecure or outdated code patterns despite the system instructions.
The core functionality depends on retrieving and citing official documentation. If the documentation sources or the retrieval mechanism (RAG/web search) are poisoned or manipulated, the agent will confidently cite and generate insecure or malicious code.
Not certain from the listing — The description outlines an 'instruction surface' rather than a complex orchestration framework. Framework-level risks are minimal unless integrated into an execution environment that automatically runs the generated code.
Not certain from the listing — The hosting environment for this skill is unspecified. If deployed in an unsandboxed developer environment, any generated code that is executed could lead to local system compromise.
Not certain from the listing — There is no mention of automated guardrails or evaluation mechanisms to verify that the cited sources are authentic, accurate, or free from security vulnerabilities.
Not certain from the listing — No built-in authentication, authorization, or compliance auditing controls are described for verifying the provenance of the documentation sources used.
As an open-source skill, it can be integrated into larger developer agent workflows. If a parent agent blindly trusts this skill's output as 'secure' because it is 'documented,' it may bypass downstream security scans.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).