← code-reviewer (Jeffallan/claude-skills)
code-reviewer (Jeffallan/claude-skills) — agentic threat model
The code-reviewer agent poses a moderate security risk primarily due to its direct access to proprietary source code and its susceptibility to indirect prompt injection via malicious code diffs. Since it operates within a larger developer skill pack without explicit sandboxing or verification controls, compromised inputs could lead to source code exfiltration or unauthorized repository annotations.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.50 | |
| 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.
Utilizes Claude/LLM foundation models. Highly vulnerable to indirect prompt injection where malicious instructions are embedded within the source code diffs being reviewed, potentially hijacking the model's output or behavior.
Reads and processes raw source code and diffs. Risks include data exfiltration of proprietary intellectual property if the agent is tricked into sending code snippets to unauthorized external endpoints.
Orchestrated as part of the 'claude-skills' framework. Threat of tool misuse exists if the file-reading or annotation tools lack strict scoping, allowing the agent to read files outside the intended repository path.
Not certain from the listing — The hosting environment (local developer machine vs. cloud container) is unspecified. If run locally, a compromise of the agent could lead to local privilege escalation or arbitrary file system access.
Not certain from the listing — There is no mention of logging, guardrails, or evaluation mechanisms to detect drift, anomalous review suggestions, or malicious prompt injection attempts.
Not certain from the listing — Access controls and authentication mechanisms for repository integration (e.g., GitHub tokens) are not detailed, raising concerns about credential handling and lack of audit trails.
Part of a 66-skill developer pack. This creates a risk of cascading failures or lateral movement where a compromise in the code-reviewer skill could be leveraged to abuse other active developer skills in the same environment.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).