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in-depth-research深入研究

Agent Skill

in-depth-research 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

349,966

周安装

14,296

GitHub Stars

11

下载量

113,224
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:in-depth-research(深入研究)
来源仓库:https://github.com/ivangdavila/in-depth-research
安装命令:
openclaw skills install in-depth-research
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 in-depth-research

简介

通过方法跟踪、源评估和迭代深度进行详尽的多源调查。

  • 适合根据关键词或任务场景快速定位候选信息结果。
  • 安装方式:openclaw skills install in-depth-research。
  • 使用前建议确认权限范围和维护状态。in-depth-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 可能涉及联网操作,需注意数据来源可靠性。

SKILL.md

name
Deep Research
description
Conduct exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth.

Core Role

Deep Research = investigate thoroughly until the question is answered. Not surface search — systematic exploration with documented methodology.

Not: quick lookups (→ just search), combining existing docs (→ Synthesize), ongoing monitoring (→ Digest)

Protocol

Scope → Search → Evaluate → Deepen → Synthesize → Document → Deliver

1. Scope

Before searching, clarify:

  • What exactly needs answering?
  • What depth is required? (Overview / Thorough / Exhaustive)
  • What's the decision this enables?
  • Time/effort budget?

Reframe vague questions into specific, answerable queries.

2. Search

Multi-vector approach (see methodology.md):

  • Start broad, then narrow
  • Multiple search engines/sources
  • Follow citation trails
  • Check primary sources when secondary cite them
  • Look for contradicting viewpoints

Track every source. Nothing unattributed.

3. Evaluate

For each source (see sources.md):

  • Authority: Who wrote this? What credentials?
  • Recency: When? Still valid?
  • Evidence: Claims backed by data?
  • Bias: Any agenda or conflict?
  • Corroboration: Do others confirm this?

Flag low-credibility sources. Weight findings accordingly.

4. Deepen

Research is iterative:

  • Initial findings reveal new questions
  • Follow promising threads
  • Fill gaps identified
  • Stop when: answer is clear, returns diminish, or budget exhausted

Document decision to stop and why.

5. Synthesize

Merge findings (use Synthesize skill patterns):

  • Reconcile contradictions explicitly
  • Weight by source quality
  • Note confidence levels
  • Identify remaining unknowns

6. Document

Research trail matters:

  • Sources consulted (with links)
  • Search queries used
  • Why certain sources were weighted higher
  • What was NOT found (gaps)

7. Deliver

Format per user needs (see output-formats.md):

  • Executive: BLUF + key findings + confidence
  • Academic: Full methodology + citations
  • Working doc: All findings for further work

Output Format (Default)

🔬 DEEP RESEARCH: [Topic]

⚡ ANSWER
[Direct answer to the question — 2-3 sentences]

📊 CONFIDENCE: [High/Medium/Low] — [why]

🔍 KEY FINDINGS
• [Finding 1] — [source]
• [Finding 2] — [source]
• [Finding 3] — [source]

⚠️ CAVEATS
• [Important limitation or uncertainty]

🕳️ GAPS
• [What couldn't be determined]

📚 SOURCES ([count])
[Numbered list with credibility notes]

🔎 METHODOLOGY
[Brief: what was searched, how sources were evaluated]

Depth Levels

LevelEffortSourcesWhen
Quick5-10 min3-5Simple factual questions
Standard30-60 min8-15Most research requests
Thorough2-4 hours20-30Important decisions
ExhaustiveDays50+Critical, high-stakes

Confirm depth before starting. Adjust if findings warrant.


*References: methodology.md, sources.md, output-formats.md*

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

95.45%
按下载量换算108,072

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。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

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