Use when you need to visually interact with a GUI — test buttons, fill forms, verify visual layouts, fuzz web pages, automate user flows, take screenshots, or perform end-to-end QA on any application. Works on cloud VMs, Docker containers, local machines, and sandboxes. Install: pip install cua.
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Critical
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Security
2 findings: 1 critical severity, 1 high severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
The skill contains explicit capabilities to record and upload full UI sessions and screenshots to external servers, run shell commands on targets (including a local "grant AI control" flow), and includes an option to disable recording for individual actions—together these enable covert data exfiltration and remote control.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The prompt includes literal plaintext credentials (e.g., "SecureP@ss123") in example commands and references an API key variable (ANTHROPIC_API_KEY), which would require the agent to emit secrets verbatim if used that way.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required runtime flow includes `cua do snapshot`, which uses AI to summarize a live screenshot/screen contents and therefore can ingest free-form text that appears on the target screen (i.e., outsider-authored UI/content from whatever system the user targets) into the LLM context.
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