Cross-Site Scripting and HTML Injection Testing — agentic threat model

Not certain from the listing — likely relies on a general-purpose LLM for payload generation and reasoning, which is susceptible to prompt injection allowing attackers to redirect the offensive testing tools against unauthorized targets.

Not certain from the listing — the skill likely does not use a dedicated vector database or RAG, but rather processes live HTTP responses and DOM structures in context, presenting risks of data exfiltration if target pages contain sensitive data.

The skill orchestrates offensive tools for XSS exploitation, cookie theft, and CSP bypass; insecure tool integration or lack of input validation on target responses could allow a malicious target website to execute prompt injection or exploit the agent's execution environment.

Not certain from the listing — as an open-source skill, deployment infrastructure is host-dependent, but running offensive web-testing tools requires strict sandboxing to prevent local network scanning or SSRF if the agent is compromised.

Not certain from the listing — there is no mention of built-in logging, guardrails, or safety filters to prevent the skill from being used against unauthorized domains or non-scope targets.

Not certain from the listing — lacks explicit authorization, scoping controls, or policy enforcement mechanisms, posing significant legal and compliance risks (e.g., unauthorized penetration testing).

Not certain from the listing — while designed as an individual skill, if integrated into a multi-agent system, a compromise of this skill could allow it to be used by other rogue agents to conduct internal scanning or session hijacking.