Browser automation via agent-browser CLI. Use when the user needs to navigate websites, fill forms, click buttons, take screenshots, extract data, or test web apps.
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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 skill prompt explicitly shows commands that place plaintext credentials into CLI arguments (e.g., agent-browser fill @e2 "secret" and fill @e1 "user@example.com"), which would require the LLM to emit secret values verbatim.
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.
This workflow drives `agent-browser open <url>` and `snapshot -i`, which at runtime makes the LLM context include page-derived interactive text/DOM-derived element labels/iframes from the visited URL (outsider-authored public web content), enabling indirect prompt injection.
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