web-research

Fact-checking with web sources produces a structured claim ledger that captures each claim, its sources with URLs, confidence levels, and verification status. This Skill automates the research process by pulling public information, cross-referencing claims, and compiling traceable results in a searchable ledger format for archival and compliance.

Web research generates three key outputs: a Markdown digest summarizing findings, a claim ledger linking claims to sources with confidence ratings, and a prioritized task list for verifying high-impact unverified claims. These structured outputs integrate with downstream workflows and memory systems for seamless handoff.

Yes. The Skill conducts viewpoint research across web sources, capturing diverse claims and their sources with confidence levels. It produces a traceable ledger suitable for opinion surveys, comparative analysis, and multi-perspective research with full source attribution.

The Skill generates actionable follow-up tasks ranked by impact and verification status. High-impact unverified claims are flagged as priority tasks, so you focus verification effort where it matters most and can optionally link tasks to a topic for tracking.

Yes. The Skill integrates seamlessly with web-search, chat prompts, mem0 memory systems, task management, and glmRouter, so research outputs flow directly into your existing workflow without manual export or format conversion.

Web research automates the entire fact-checking pipeline—gathering claims, cross-referencing sources, assigning confidence levels, and generating a structured claim ledger with verification tasks. Manual searches produce scattered results; this produces traceable, archivable research artifacts suitable for compliance and audit.