WebThinker Deep Research (VCO)

When to use

Use this skill when the task requires deep web research (not just one-shot search), for example:

• Multi-hop questions (“find → open → follow links → verify”)
• “Deep research report” / “调研报告” / “竞品调研” / “技术调研”
• Need an auditable trace of web actions and sources
• Need to merge findings into a structured deliverable (report / brief / spec)

Non-goals (avoid redundancy)

• For quick citations or “give me 3 sources”, prefer research-lookup.
• For interactive UI flows (login / forms / downloads), prefer playwright or turix-cua overlays.
• For codebase structure / call chains, prefer GitNexus overlays (not web research).

Output contract (must)

Produce a folder with:

• report.md — structured report (problem → findings → implications → next steps)
• sources.json — all sources (URL/title/access time/snippet)
• trace.jsonl — append-only action trace (search/open/extract/decision)
• notes.md — working notes with per-source anchors

Use scripts/init_webthinker_run.py to scaffold the folder.

Runtime (Upstream vendoring)

This VCO skill supports a stable Lite mode by default, and keeps the upstream WebThinker repo vendored for optional advanced use.

• Vendored upstream paths:
  • C:\Users\羽裳\.codex\_external\ruc-nlpir\WebThinker\
• Runtime config (no secrets stored):
  • C:\Users\羽裳\.codex\skills\vibe\config\ruc-nlpir-runtime.json
• Preflight / install (no secrets echoed):