← systematic-debugging (superpowers)
systematic-debugging (superpowers) — agentic threat model
This agent is a specialized debugging skill that enforces a systematic root-cause methodology within an orchestration framework. Because it operates purely as a workflow-injection skill without direct external execution capabilities or persistent state, its primary risk lies in potential manipulation of the debugging logic to bypass security checks or misdirect developers.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.30 | |
| 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.
Not certain from the listing — relies on the host agent's underlying LLM. If the foundation model is susceptible to prompt injection, an attacker could bypass the systematic debugging methodology or force the model to hallucinate false root causes.
Not certain from the listing — the skill itself does not manage vector databases or training data. However, it processes bug reports and test failures, which could contain sensitive code snippets or execution logs if not properly sanitized.
As part of the 'superpowers' framework, this skill injects a structured debugging workflow. Vulnerabilities here include framework-level bypasses where an agent might skip the root-cause phase, or prompt injection that subverts the debugging logic to recommend malicious fixes.
Not certain from the listing — the description states 'no external binaries required,' implying it runs within the host agent's existing runtime environment. Security depends entirely on the hosting infrastructure's sandboxing of the parent agent.
Not certain from the listing — there is no mention of dedicated logging, guardrails, or observability tools specific to this skill. It relies on the parent framework to monitor and audit the debugging steps.
Not certain from the listing — no built-in compliance frameworks, access controls, or identity management are specified for this individual skill.
As a skill designed to integrate into the 'superpowers' framework, it interacts directly with other agent workflows. A compromised parent agent could exploit this skill to generate plausible-looking but intentionally flawed root-cause analyses to mask malicious code changes.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).