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deep-research

Research a question from five search angles, gather sources, and test their claims through multiple verification judgments. The workflow combines overlapping findings and produces a cited report with conclusions ranked by confidence.

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Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.

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适用场景

  • Investigating a topic from several perspectives
  • Checking claims across multiple web sources
  • Preparing a research report with citations
  • Narrowing a broad question before researching

包含的文件(2)

  • SKILL.md1.5 KB
  • scripts/workflow-script.js22.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Run the "deep-research" workflow.

Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.

When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.

Phases:

  • Scope: Decompose question (from args) into 5 search angles
  • Search: 5 parallel WebSearch agents, one per angle
  • Fetch: URL-dedup, fetch top 15 sources, extract falsifiable claims
  • Verify: 3-vote adversarial verification per claim (need 2/3 refutes to kill)
  • Synthesize: Merge semantic dupes, rank by confidence, cite sources

Invoke: Workflow({ name: "deep-research" })

If the user asks you to modify this workflow or write a new script, load the workflow-authoring skill first.

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