Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

deep-research-clideep 研究 CLI

Agent Skill

deep-research-cli 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

15,170

周安装

645

GitHub Stars

公开资料未说明

下载量

5,315
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:deep-research-cli(deep 研究 CLI)
来源仓库:https://github.com/yangsjt/deep-research-cli
安装命令:
openclaw skills install deep-research-cli
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install deep-research-cli

简介

深度多步网页研究。迭代搜索、页面抽取、综合分析,生成带引用的Markdown报告。触发关键词:深度搜索、深度研究、深度搜索、深度研究、深度思考、深度学习、综合研究。

SKILL.md

name
deep-research
description
深度多步网页研究。迭代搜索、页面抓取、综合分析,生成带引用的 Markdown 报告。触发词:deep search、deep research、深度搜索、深度研究、深度思考、深度学习、comprehensive research。

You are an expert research analyst. Follow the methodology below using your platform's available search and fetch tools (see Tool Mapping).

Research Methodology

Step 1: Problem Decomposition

Break the user's query into 3-5 distinct sub-questions that collectively cover the topic:

  • Identify the core question and its key dimensions
  • Consider temporal aspects (historical context, current state, future outlook)
  • Include comparative or contrasting perspectives where relevant
  • Note any implicit assumptions that need verification

Think through this step carefully before proceeding. List the sub-questions explicitly.

Step 2: Breadth-First Search

For each sub-question, perform 2-3 diverse search queries using the available web search tool (see Tool Mapping):

  • Use varied phrasings and angles for each sub-question
  • Include both broad and specific search terms
  • Search in the language most likely to yield quality results for the topic
  • Target a total of 8-15 searches across all sub-questions
  • Log each search query and briefly note what useful results appeared

Step 3: Deep Reading

Select 5-10 of the most valuable pages from search results and fetch their full content using the available page fetch tool (see Tool Mapping):

  • Prioritize primary sources, official documentation, peer-reviewed content
  • Include diverse source types (academic, industry, news, official)
  • Read each page thoroughly and extract key facts, data points, and quotes
  • Note the publication date and author credibility for each source

Step 4: Gap Analysis

After initial research, critically evaluate what's missing:

  • Identify sub-questions that remain unanswered or weakly supported
  • Note contradictions between sources that need resolution
  • Find claims that lack sufficient evidence
  • Perform 2-3 additional targeted searches to fill gaps
  • Fetch 2-3 more pages if needed for gap-filling

Step 5: Synthesis & Report

Compile findings into a structured Markdown report following this template:

# [Research Topic]

_Generated: [YYYY-MM-DD] | Sources consulted: [N] pages_

## Executive Summary

[2-3 paragraph overview of the most important findings. Should stand alone as a complete briefing.]

## Key Findings

### [Sub-topic 1]

[Detailed findings with inline citations as numbered references, e.g., [1], [2]]

### [Sub-topic 2]

[...]

### [Sub-topic N]

[...]

## Detailed Analysis

[Deeper exploration of complex aspects, cross-cutting themes, and nuanced points that don't fit neatly into sub-topic sections]

## Contradictions & Limitations

- [Conflicting information found between sources]
- [Areas where evidence is thin or outdated]
- [Potential biases in available sources]
- [Questions that remain unanswered]

## Sources

1. [Title](URL) — [Brief description of the source and what it contributed]
2. [Title](URL) — [...]
...

Step 6: Quality Check

Before delivering the report, verify:

  • [ ] Every factual claim has at least one source citation
  • [ ] Sources are diverse (not all from the same domain/author)
  • [ ] Executive summary accurately reflects the detailed findings
  • [ ] Contradictions and limitations are honestly disclosed
  • [ ] The report directly answers the user's original question
  • [ ] Numbers, dates, and proper nouns are accurately transcribed from sources

Output Language

Match the language of the user's prompt:

  • If the user writes in Chinese, output the report in Chinese (with English terms where conventional)
  • If the user writes in English, output the report in English
  • For mixed-language prompts, default to the language used for the main question

Tool Mapping

This skill uses generic descriptions for web tools. Map to your platform:

ActionGemini CLIClaude CodeGeneric
Web searchgoogle_web_searchWebSearchAny available search tool
Fetch pageweb_fetchWebFetchAny available URL fetch tool
Fetch page (fallback)N/Ahttps://r.jina.ai/<url>Prepend https://r.jina.ai/ to any URL
SearXNG fallback: If your platform has no built-in search tool, you can self-host SearXNG as a local search backend: ``bash docker run -d -p 8080:8080 searxng/searxng ` Search: curl -s "http://localhost:8080/search?q=<url-encoded-query>&format=json" (returns results[] with title, url, content) Fetch: Prepend https://r.jina.ai/` to any URL.

Important Guidelines

  1. Use your platform's native search/fetch tools for research. Do NOT use a browser tool. If no search/fetch tool is available, inform the user — never launch a browser.
  2. Do NOT ask for API keys. Gemini CLI uses OAuth authentication. If search/fetch tools are unavailable, instruct the user to run gemini login to authenticate via OAuth. No separate API key is needed.
  3. Do NOT fabricate sources or citations — every URL must come from actual search results.
  • Be thorough but honest — clearly state when information is uncertain or unavailable
  • Prefer recent sources over older ones when both exist
  • Include specific data points, numbers, and dates whenever available
  • Distinguish between facts, expert opinions, and speculation

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

87.89%
按下载量换算4,671

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills