deep-researcher

To verify research findings with evidence trails, this Skill crawls multiple authoritative sources, fact-checks claims using 3+ independent sources, and assigns high, medium, or low confidence levels. It outputs structured files with exact URLs and access dates for citation.

Fact-checking information across multiple authoritative sources is best handled by scoping research topics, collecting primary and secondary sources, and verifying claims. This approach provides structured reports with source credibility assessments and explicit evidence trails for each finding.

To systematically gather information and prevent reliance on unverified data, you can delegate research topics to a storage prefix. The system plans verification strategies, collates findings, and produces structured output files detailing verified claims with explicit confidence scores.

Yes, you can use automated research for gathering documentation and generating structured reports. The process collects primary and secondary sources, verifies claims, and outputs five distinct files containing evidence-based recommendations with links to official documentation and community discussions.

Information verification works with official documentation and community discussions for API security research by crawling these sources to provide structured reports. It details various strategies, their pros and cons, supported by links to reputable blogs, with a confidence score for each recommendation.

Limitations of automated fact-checking for complex research topics include the dependency on source accessibility during crawling and the need to assess source credibility. Confidence levels explicitly indicate claim certainty, but findings rely on the availability of 3+ independent verifiable sources.