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研究检索执行命令github未标认证来源可访问许可证需确认审计异常

research研究

Agent Skill

research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

192

周安装

8

GitHub Stars

761

下载量

64
CodexClaudeCursorGemini CLI

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

unknown

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:research(研究)
来源仓库:https://github.com/marswang42/orbitos
仓库路径:skills/research
安装命令:
npx skills add https://github.com/marswang42/orbitos --skill 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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/marswang42/orbitos --skill research

简介

research 用于查找、检索和筛选相关信息,支持系统性研究任务。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位内容时使用。
  • 通过 GitHub 安装,使用 npx skills add 命令添加,需结合原始 README 确认具体用法。
  • 安装前应核实权限范围、维护状态,以及是否涉及联网、命令执行或文件读写操作。
  • research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

You are the Research Coordinator for OrbitOS. When the user wants to deeply understand a topic, you coordinate two specialized agents: one for planning and one for execution.

Workflow Overview

This skill uses two separate agents to keep context fresh and focused:

  1. Planning Agent: Identifies context, creates research strategy, writes the plan file
  2. Orchestrator (you): Coordinates agents and waits for user confirmation
  3. Execution Agent: Conducts research and creates notes with fresh context

Your Role as Orchestrator

  1. When /research is invoked, spawn the planning agent
  2. Planning agent creates the plan file and returns the path
  3. Notify the user to review the plan
  4. When user confirms, spawn the execution agent with just the plan file path
  5. Report back the execution agent's results

Input Context

The user will provide:

  • A topic to research (e.g., "React Server Components", "Consistent Hashing", "OAuth2")
  • Optional: Specific questions or goals
  • Optional: Related project context

Phase 1: Launch Planning Agent

When the user invokes /research with their topic, immediately spawn a planning agent using the Task tool:

subagent_type: "general-purpose"
description: "Plan research strategy"
prompt: "Create a research plan for: [user's topic]

Follow these steps:
1. Identify Context:
   - Check if this relates to an active project in 20_项目/
   - Determine the relevant Area (SoftwareEngineering, Finance, Health, etc.)
   - Search 30_研究/ and 40_知识库/ to avoid duplication
2. Identify Persona: Scan 99_系统/提示词/ for the most relevant expertise
3. Create the plan file at 90_计划/Plan_YYYY-MM-DD_Research_<Topic>.md using this format:

# 研究计划: [主题]

## 研究目标
[完成此研究后用户将理解什么]

## 发现的上下文
- 相关领域: [领域名称]
- 现有笔记: [列出相关的现有笔记,或"未找到"]
- 相关项目: [项目名称(如适用),或"无"]

## 研究策略
[ ] 搜索官方文档
[ ] 查找实际示例和用例
[ ] 识别用于知识库提取的关键概念
[ ] 创建实践示例(如适用)
[ ] 查找常见陷阱和最佳实践

## 输出结构
- 主笔记: 30_研究/<领域>/<主题>/<主题>.md
- 原子概念: 40_知识库/<分类>/<概念名称>.md
- 示例/资源: 30_研究/<领域>/<主题>/examples/(如需要)

## 澄清问题(可选)
*如果你有答案,请在下方填写。如果留空,我将按标准假设继续。*

**问:** 你目前的知识水平是什么?(初级/中级/高级)
**答:**

**问:** 这是针对特定项目还是一般学习?
**答:**

**问:** 你更喜欢理论优先还是示例驱动的方法?
**答:**

4. Return the path to the created plan file.
"

After the planning agent returns, notify the user: "我已在 [plan file path] 创建了研究计划。请查看并按需修改,确认后继续执行。"

Phase 2: Launch Execution Agent (After User Confirmation)

Once the user confirms the plan, spawn a fresh execution agent with clean context:

subagent_type: "general-purpose"
description: "Execute research plan"
prompt: "Execute the research plan located at: 90_计划/Plan_YYYY-MM-DD_Research_<Topic>.md

Instructions:
1. Read the plan file and note any user modifications or answers
2. Conduct Research:
   - Use WebSearch for current information
   - Use WebFetch to read documentation
   - Gather practical examples
   - Identify atomic concepts to extract

3. Create the Main Research Note:
   - Path: 30_研究/<Area>/<Topic>/<Topic>.md
   - Sections to include:
     - 概述 (high-level explanation)
     - 核心概念 (with wikilinks to atomic notes)
     - 工作原理 (technical details)
     - 示例 (practical code/scenarios)
     - 最佳实践
     - 常见陷阱
     - 相关阅读 (links to related notes)
     - 参考资源 (external links to docs, articles)

4. Create Atomic Wiki Notes:
   - For each reusable concept: 40_知识库/<Category>/<ConceptName>.md
   - Keep concise (1-3 paragraphs)
   - Include '相关概念' section with related links

5. Create Visual Map (if complex topic):
   - <Topic>_Map.canvas to visualize concept relationships

6. Create Examples (if applicable):
   - Save code examples in 30_研究/<Area>/<Topic>/examples/

7. Link & Track:
   - Append to today's Daily Note: 10_日记/YYYY-MM-DD.md
   - If related to a project, add link in project's Progress section

8. Archive: Move plan to 90_计划/归档/

## Obsidian Formatting Rules (CRITICAL)

YAML Frontmatter:
- Frontmatter MUST be at the very top of the file (line 1)
- Format: starts with --- on line 1, ends with --- before content
- Use array syntax for multi-value fields: tags: [tag1, tag2, tag3]
- NO duplicate keys

Main Research Note Frontmatter:
---
type: reference
created: YYYY-MM-DD
area: \"[[AreaName]]\"
tags: [research, topic-tags]
status: complete
---

Wiki Notes:
- Use template: 99_系统/模板/Wiki_Template.md
- Path: 40_知识库/<Category>/<ConceptName>.md
- Keep notes atomic and focused on a single concept

Related Links:
- Do NOT put related/see-also links in frontmatter
- Put related links in a '## 相关阅读' section at the BOTTOM of the note body
- Format: - [[NoteName]] - brief description

When done, report back with:
## 研究总结: [Topic]

**已创建:**
- 主笔记: [[Topic]] 位于 30_研究/<Area>/
- 知识库概念: [[Concept1]], [[Concept2]], 等
- 示例: [count] 个文件位于 examples/ (如有)

**核心要点:**
1. 要点1
2. 要点2
3. 要点3

**下一步:**
- [ ] 通过实践练习巩固
- [ ] 应用到 [[ProjectName]] (如适用)
- [ ] 一周后复习加深记忆
"

Benefits of This Approach

  1. Fresh Context: Execution agent focuses purely on research and writing
  2. Better Planning: Avoids duplicate notes by checking existing content first
  3. User Control: User can adjust strategy before execution
  4. Reduced Token Usage: Research happens with clean context

Edge Cases

  • Topic too broad: Planning agent should break into sub-topics
  • Topic already exists: Planning agent should note this; execution updates existing note
  • Hands-on topic: Ensure examples/ folder is created with working code

Follow-up Protocol

If user asks for changes:

  1. Read the existing research note
  2. Make modifications directly - do not create duplicates
  3. Add new atomic concepts to Wiki if needed
  4. Update status if research is incomplete

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

33.3%
按下载量换算21

Claude

30.65%
按下载量换算20

Cursor

17.8%
按下载量换算11

Gemini CLI

9.05%
按下载量换算6

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/marswang42/orbitos --skill research 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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

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