Skip to main content

deep-search

Deep multi-round web research with parallel fetching. Triggers: deep search, research, 深度搜索, 调研, investigate, deep research.

跳到安装

来源信息

仓库
ZhangHanDong/octos
最近来源活动
2026年4月1日 18:36
检测到的 SKILL.md 语言
英语
星标
1
分支
1

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

文件资源管理器
4 个文件

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
deep-search
description
Deep multi-round web research with parallel fetching. Triggers: deep search, research, 深度搜索, 调研, investigate, deep research.
# Deep Search ## Overview The `deep_search` tool performs deep multi-round web research. It iteratively searches from multiple angles, fetches pages in parallel, chases the most-referenced external sources, and produces a structured research report. ## Usage Call `deep_search` with a query and optional depth. The tool will: 1. **Round 1**: Search the web using Perplexity Sonar (preferred) or other available engines 2. **Rounds 2+**: Generate follow-up queries from different angles (time-qualified, subtopic-focused, controversy/analysis) 3. **Parallel fetch**: Crawl all discovered URLs concurrently (8 connections) 4. **Reference chasing**: Extract outbound links from crawled pages, fetch the most-cited external sources 5. **Report**: Build a structured report with overview, source previews, and search query log 6. **Save**: Everything saved under `./research/<query-slug>/` ### Parameters - **query** (required, string): The research topic or question to investigate. - **depth** (optional, integer, default: 2): Research depth: - `1` = Quick: single search round + crawl (~1 min, up to 10 pages) - `2` = Standard: 3 search rounds + reference chasing (~3 min, up to 30 pages) - `3` = Thorough: 5 search rounds + aggressive link chasing (~5 min, up to 50 pages) - **max_results** (optional, integer, default: 8): Number of search results per round (1-10). - **search_engine** (optional, string): Preferred search engine. Options: `perplexity`, `duckduckgo`, `brave`, `you`. Defaults to auto-detection (prefers Perplexity). ### Example ```json { "query": "AI regulations worldwide 2026", "depth": 2 } ``` ### Output Returns a structured research report including: - Overview (initial search answer) - Source details with inline previews (first 2000 chars of each page) - List of all search queries used - Summary with page count and save location Use `read_file` on specific source files for full content when you need detailed synthesis. ### Saved Files Results are saved to `./research/<query-slug>/`: - `_report.md` -- structured research report - `_search_results.md` -- combined raw search results from all rounds - `01_<domain>.md` -- full page content from first source - `02_<domain>.md` -- full page content from second source - etc. ### Environment Variables - `PERPLEXITY_API_KEY` -- enables Perplexity Sonar (recommended, best for deep research) - `BRAVE_API_KEY` -- enables Brave Search - `YDC_API_KEY` -- enables You.com search Without API keys, DuckDuckGo HTML search is used as fallback.
在 GitHub 查看