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Agent Skill · 研究检索

research-compound(研究化合物)

research-compound 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。

research-compound 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 45,663。

总安装 832周安装 34GitHub Stars 37下载 267核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-compound(研究化合物)
来源仓库:https://github.com/majesticlabs-dev/majestic-marketplace
仓库路径:skills/research-compound
安装命令:
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill research-compound
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/majesticlabs-dev/majestic-marketplace --skill research-compound

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

research-compound 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。适用于复合信息整合、跨领域研究聚合或多源数据融合的场景。

通过安装命令 npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill research-compound 添加到宿主环境。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后再使用。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/research-compound

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

research-compound 怎么安装?

在终端执行 npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill research-c…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

research-compound 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

research-compound 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

research-compound 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

research-compound 用的人多吗?

公开数据是累计安装 832 次,近一周安装 34 次,下载 267 次,GitHub 37 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

research-compound 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
research-compound

研究化合物 · 本页

83237调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Research Compound

Compound learnings into folder-specific AGENTS.md files during research work.

Trigger Conditions

Activate this behavior when:

  • Investigating a specific domain (jobs, models, services, controllers, etc.)
  • Using research agents (repo-analyst, docs-researcher, etc.)
  • Reading multiple files in the same folder hierarchy
  • User asks to "understand", "investigate", or "research" a subsystem

Pre-Research: Check Existing Context

Before diving into code, find and read the nearest AGENTS.md:

# From target folder, traverse up to find nearest AGENTS.md
# Example: researching app/jobs/cash_app/
# Check: app/jobs/cash_app/AGENTS.md
#        app/jobs/AGENTS.md
#        app/AGENTS.md
#        AGENTS.md (root)

What to Extract

From existing AGENTS.md, note:

  • Known patterns and conventions
  • Documented gotchas
  • File organization rules
  • Testing approaches
  • Previous learnings (avoid re-discovering)

Pre-Research Output

Briefly acknowledge:

Found existing context in app/jobs/AGENTS.md:
- Jobs use Sidekiq with retry configuration
- Naming: *Job suffix required
- Testing: Use perform_inline in specs

Post-Research: Evaluate Learnings

After research, evaluate each discovery:

Worth Recording (YES)

CriteriaExample
Applies to multiple files in domain"All jobs inherit from ApplicationJob"
Non-obvious convention"Jobs must call super before custom logic"
Gotcha that caused confusion"CashApp jobs require merchant_id, not user_id"
Integration pattern"Jobs trigger webhooks via WebhookService"
Testing insight"Use freeze_time for scheduled job specs"

Skip Recording (NO)

CriteriaExample
One-off implementation detail"ProcessPaymentJob has 3 retries"
Already documentedPattern exists in AGENTS.md
Too specific to single file"Line 42 has a TODO"
Obvious from code"Job processes payments"

Update Protocol

Step 1: Locate Target AGENTS.md

Use nearest-wins hierarchy:

  1. If {domain}/AGENTS.md exists → update it
  2. If not, check parent folder
  3. If no AGENTS.md in hierarchy → create at domain level
# Find existing AGENTS.md files
find . -name "AGENTS.md" -type f | head -20

Step 2: Determine Section

Map learning type to section:

Learning TypeTarget Section
Pattern/Convention## Patterns or ## Conventions
Gotcha/Warning## Gotchas or ## Common Issues
File organization## Structure
Testing approach## Testing
Integration point## Integration or ## Dependencies

If section doesn't exist, create it.

Step 3: Format the Learning

- **[Short title]**: [Concrete description]
  - Example: `path/to/example.rb:42`

Keep entries:

  • Single bullet point (1-2 lines)
  • Concrete, not vague
  • With file reference when applicable

Step 4: Append (Don't Replace)

Use Edit tool to append to appropriate section:

## Gotchas

- **Existing gotcha**: Description
- **NEW: Merchant ID required**: CashApp jobs use `merchant_id`, not `user_id`
  - Example: `app/jobs/cash_app/process_payment_job.rb:15`

Creating New AGENTS.md

If no AGENTS.md exists in the domain hierarchy, create one:

# {Domain Name}

## Purpose

{One-line description of this domain}

## Patterns

- **Pattern name**: Description
  - Example: `path/to/file.rb`

## Gotchas

- **Gotcha name**: Description

## Testing

- **Testing approach**: Description

Placement Rules

Domain DepthCreate At
app/jobs/app/jobs/AGENTS.md
app/jobs/cash_app/app/jobs/cash_app/AGENTS.md (if 3+ files)
app/services/payments/app/services/payments/AGENTS.md

Only create subfolder AGENTS.md if:

  • 3+ files in that specific folder
  • Distinct patterns from parent domain
  • Significant complexity warranting isolation

Examples

Example 1: Pre-Research Check

User: "Investigate how background jobs work in this app"

Claude:
1. Target domain: app/jobs/
2. Check for AGENTS.md...
   - Found: app/jobs/AGENTS.md
3. Read existing context:
   "Jobs use Sidekiq, ApplicationJob base class, *Job suffix"
4. Proceed with research, avoiding re-discovery of known patterns

Example 2: Post-Research Update

After researching app/jobs/cash_app/:

Discovered:
- CashApp jobs require merchant_id (not user_id) ← WORTH RECORDING
- ProcessPaymentJob has 3 retries ← SKIP (too specific)
- All CashApp jobs log to separate channel ← WORTH RECORDING

Update app/jobs/cash_app/AGENTS.md:
## Gotchas
+ - **Merchant ID required**: Use `merchant_id`, not `user_id` for CashApp jobs
+   - Example: `app/jobs/cash_app/process_payment_job.rb:15`

## Patterns
+ - **Separate logging**: CashApp jobs use `CashAppLogger` channel
+   - Example: `app/jobs/cash_app/base_job.rb:8`

Example 3: Creating New AGENTS.md

Researching app/services/webhooks/ (no existing AGENTS.md)

After research, create app/services/webhooks/AGENTS.md:

# Webhooks

## Purpose

Outbound webhook delivery and retry management.

## Patterns

- **Delivery service**: All webhooks go through `WebhookDeliveryService`
  - Example: `app/services/webhooks/delivery_service.rb`
- **Payload builders**: Each event type has a `*PayloadBuilder`
  - Example: `app/services/webhooks/payment_payload_builder.rb`

## Gotchas

- **Idempotency required**: Webhooks may retry; receivers must handle duplicates
- **Timeout**: 30-second timeout on delivery attempts

Quality Checks

Before updating AGENTS.md, verify:

  • Learning is generalizable (applies beyond single file)
  • Not already documented
  • Concrete enough to act on
  • Has file reference for examples
  • Matches existing AGENTS.md style/structure

Best Practices Research

When research requires external best practices (not just codebase analysis), use this methodology.

Research Process

  1. Clarify the query - Identify the technology AND version (ask if not provided)
  2. Search with version specificity - Always include version in queries (e.g., "Rails 8 API authentication" not "Rails authentication")
  3. Use Perplexity MCP (mcp__perplexity-ask__perplexity_ask) to search for:

- Official documentation for [technology] [version] - "[technology] [version] best practices [current year]" - Well-regarded open source examples

  1. Evaluate sources - Prioritize: official docs > widely-adopted standards > community guides
  2. Note version-specific guidance - Flag when practices apply only to certain versions

Best Practices Output Format

## [Topic] Best Practices

### Must Have
- **[Practice name]**: [Description]
  > "[Direct quote from source]"
  -- Source: [Link or reference]

### Recommended
- **[Practice name]**: [Description]

### Anti-patterns to Avoid
- **[Anti-pattern]**: [Why it's problematic]

### Sources
- [All referenced sources with links]

Research Constraints

  • Research only -- do not implement or write code
  • Cite everything -- no unsourced recommendations
  • Note conflicts -- if sources disagree, present both views with trade-offs
  • Be current -- flag outdated practices explicitly

Anti-Patterns

Don'tDo Instead
Dump all findings into AGENTS.mdFilter for generalizable patterns only
Create AGENTS.md for every folderOnly domains with distinct patterns
Write paragraphsSingle bullet points with examples
Duplicate root-level guidanceOnly domain-specific additions
Update on every file readBatch updates at research completion

平台分布

Codex

34.28%
按下载量换算92

Claude

29.42%
按下载量换算79

Cursor

17.01%
按下载量换算45

Gemini CLI

9.76%
按下载量换算26

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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