← biopython (scientific-agent-skills)
biopython (scientific-agent-skills) — agentic threat model
The biopython skill introduces significant risk by executing Python code and parsing complex biological file formats, which could be exploited via malicious inputs if not strictly sandboxed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.30 | |
| 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.
Not certain from the listing — the agent is a skill that injects library guidance, but the underlying foundation model and its specific vulnerabilities (e.g., prompt injection, adversarial reprogramming) are not detailed.
Not certain from the listing — handles sequence I/O and biological file-format parsing, but specific data storage, vector databases, or RAG pipelines are not described.
The skill injects library guidance and runs bundled Python code for bioinformatics workflows. This introduces a high risk of insecure tool integration and potential code execution vulnerabilities if malicious inputs are parsed.
Not certain from the listing — the skill runs Python code, but the hosting environment, sandboxing capabilities, and network isolation controls are not specified.
Not certain from the listing — there is no mention of logging, evaluation frameworks, or guardrails to monitor the execution of the Biopython code.
Not certain from the listing — as an open-source skill library, there are no explicit details regarding identity management, authorization policies, or compliance standards.
Not certain from the listing — while it is part of a 100+ scientific-agent-skills library, the trust boundaries and interaction protocols between this skill and other agents are not defined.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).