find-bugs (Sentry) — agentic threat model
The find-bugs agent presents a moderate risk profile centered on source code confidentiality and prompt injection. Because it reads codebase diffs, an attacker could use crafted code comments (prompt injection) to manipulate the review results or exploit the underlying parser.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| 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 underlying LLM is not specified. However, the agent is highly susceptible to indirect prompt injection, where malicious code or comments in a git diff could manipulate the model to ignore vulnerabilities or generate misleading reports.
Not certain from the listing — The agent reads local repository files and git diffs. The primary threat is data exfiltration of proprietary source code if the agent's output channel or hosting environment is compromised.
Not certain from the listing — The orchestration framework is not specified. There is a potential risk of command injection if the agent dynamically constructs git commands using untrusted branch names or user inputs.
Not certain from the listing — The hosting environment (e.g., local, CI/CD runner, or cloud) is not detailed. If deployed in a CI/CD pipeline, a compromise of the agent could lead to lateral movement or exposure of repository access tokens.
Not certain from the listing — No evaluation, logging, or guardrail mechanisms are described. This creates blind spots where silent failures or hallucinated security vulnerabilities could go unnoticed.
Not certain from the listing — No authentication, authorization, or compliance policies are mentioned. The agent's security relies entirely on the permissions of the environment in which it is executed.
Not certain from the listing — While tagged as an 'Agent Skill (Sentry)', the exact multi-agent ecosystem interactions are not defined. If other automated agents act on this agent's reports (e.g., auto-merging PRs), a false negative or manipulated report could lead to cascading security failures.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).