Autonomous data gathering across sources — plans search queries and URLs from a natural-language prompt, executes in parallel within a time budget, optionally extracts structured fields via JSON Schema, and synthesizes results with full step transparency. Use when the user needs data collected from the web with a specific shape, says "gather data", "find pricing for", "collect information about", "extract from multiple sites", or provides a JSON schema for web data.
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Low
Low-risk findings worth noting
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.
SKILL.md describes runtime steps where the agent “searches and fetches” pages seeded by user-provided `urls` and then “extracts fields from each page,” which means fetched public/free-form page text (outsider-authored) is ingested into the LLM context for extraction/synthesis.
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