auto-deep-research

star 1

Automatically orchestrates web search, raw web context, and deep research for requests to search, 查资料, 搜资料, 深度搜索, 调研, 文献综述, 找论文/资料/来源, look up, research, gather sources, compare current tools, or verify online claims. Use when the user asks for search/research without naming a specific search skill; it routes only through Brave spellcheck, autosuggest, web search, LLM context, and local report orchestration. 中文追加触发词:寻找参考文献、搜索文献、查参考文献、找相关论文、找几篇论文、文献搜索、论文搜索、参考文献怎么找、根据文献找来源。

Teng-bio By Teng-bio schedule Updated 5/7/2026

name: auto-deep-research description: "Automatically orchestrates web search, raw web context, and deep research for requests to search, 查资料, 搜资料, 深度搜索, 调研, 文献综述, 找论文/资料/来源, look up, research, gather sources, compare current tools, or verify online claims. Use when the user asks for search/research without naming a specific search skill; it routes only through Brave spellcheck, autosuggest, web search, LLM context, and local report orchestration. 中文追加触发词:寻找参考文献、搜索文献、查参考文献、找相关论文、找几篇论文、文献搜索、论文搜索、参考文献怎么找、根据文献找来源。"

Auto Deep Research

Use this as the default research router whenever the user asks to search or gather online/project资料, even if they do not name a specific search skill.

Routing

  1. Clarify only if necessary: if scope is too broad, ask one short question; otherwise choose sensible defaults.
  2. Quick lookup: for a narrow fact or source list, run scripts/brave_research.py web "<query>" or context.
  3. Query optimization: use spellcheck and autosuggest first to refine the query when helpful.
  4. Deep research: for academic/project/tool comparison/current-state questions, run:
    python3 ~/.codex/skills/auto-deep-research/scripts/brave_research.py full "<query>" --language zh --max-queries 4
    
  5. Multiple existing reports: use research-orchestrator after collecting or receiving 2+ research documents.

Source discipline

  • Prefer primary sources: official docs, papers, standards, government, reputable repos/issues.
  • Separate 事实, 推断, and 未验证/未知.
  • For academic topics, prioritize papers, reviews, datasets, methods docs; avoid relying only on blogs.
  • For current/latest/company/product/legal/medical/financial facts, verify with search before answering.
  • Save artifacts; cite URLs in the final answer.

Output format

Return concise Chinese output:

  1. 结论摘要
  2. 关键来源: title + URL + why it matters
  3. 已确认事实 / 推断 / 不确定点
  4. 建议下一步
  5. 本次调研产物路径 if files were generated

Environment

The script reads:

  • BRAVE_SEARCH_API_KEY for web-search and llm-context
  • BRAVE_AUTOSUGGEST_API_KEY for suggest
  • BRAVE_SPELLCHECK_API_KEY for spellcheck

These can also be stored in ~/.codex/secrets/brave_search.env.

Install via CLI
npx skills add https://github.com/Teng-bio/codex-skills-hub --skill auto-deep-research
Repository Details
star Stars 1
call_split Forks 0
navigation Branch main
article Path SKILL.md
More from Creator