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test-research-delete测试研究删除

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

2,694

周安装

109

GitHub Stars

公开资料未说明

下载量

846
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:test-research-delete(测试研究删除)
来源仓库:https://github.com/flip-in/test-research-delete
安装命令:
openclaw skills install test-research-delete
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。

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openclaw skills install test-research-delete

简介

协调并行代码库研究。产生多个研究人员子代理来调查不同的领域,然后将研究结果综合到research.md中。

SKILL.md

name
research
description
Orchestrate parallel codebase research. Spawns multiple researcher subagents to investigate different areas, then synthesizes findings into research.md.

Research Orchestration

Methodology for systematic codebase research using parallel subagents.

Purpose

This skill runs on the main thread and orchestrates multiple researcher subagents to investigate a codebase in parallel. Produces a research.md file for downstream planning.

Mandate: Document the codebase as it exists today. No improvements, no critique, no suggested changes—pure technical mapping.

Workflow

Step 1: Capture the Research Question

Record the exact research question from $ARGUMENTS.

If no arguments provided, ask the user for their research question before proceeding.

Step 2: Read Referenced Files First

If the user mentions specific files, read them completely before spawning agents. Use Read tool without limit/offset.

Step 3: Decompose into Investigation Areas

Break the research question into 3-5 distinct investigation areas. For each define:

  • Search targets - patterns, keywords, file types
  • Search locations - directories, file patterns
  • Questions to answer - what we need to learn

Step 4: Spawn Parallel Researcher Subagents

Use the Task tool to spawn multiple researcher subagents in parallel. Each investigates one area.

Critical: Send ALL Task tool calls in a SINGLE message to run them in parallel.

Task tool calls (all in one message):
- subagent_type: "researcher"
- prompt: "Investigate [area]. Search targets: [targets]. Search locations: [locations]. Questions: [questions]"
- description: "Research [area name]"

Example parallel spawn:

[Task 1] subagent_type: researcher
         prompt: "Investigate authentication middleware and guards.
                  Search targets: auth, jwt, session, middleware, guard patterns
                  Search locations: src/, lib/
                  Questions: Where is auth middleware defined? How are routes protected? What token format is used?"

[Task 2] subagent_type: researcher
         prompt: "Investigate user model and storage.
                  Search targets: User, schema, model, database, repository patterns
                  Search locations: src/, models/, db/
                  Questions: Where is the User model? What ORM/database is used? What fields exist?"

[Task 3] subagent_type: researcher
         prompt: "Investigate login/logout flows.
                  Search targets: login, logout, signin, signout, authenticate patterns
                  Search locations: src/, routes/, controllers/
                  Questions: What is the login endpoint? How are sessions created/destroyed?"

Step 5: Collect Results

Wait for all researcher subagents to complete. Each returns:

  • Key files with file:line references
  • How the mechanism works
  • Answers to the questions posed
  • Notable details and gaps

Step 6: Gather Metadata

Run git commands to collect:

git rev-parse --short HEAD    # commit hash
git branch --show-current     # branch name
git remote get-url origin     # repository URL

Step 7: Synthesize and Write research.md

Combine all subagent findings into a single research.md file in the current working directory.

Required format:

---
date: YYYY-MM-DD
commit: <short-hash>
branch: <branch-name>
repository: <repo-name>
topic: <research-topic>
status: complete
---

# Research: <Topic>

## Research Question

<Original question from user>

## Summary

<2-3 sentence executive summary of findings>

## Detailed Findings

### <Area 1>

<Synthesized findings with specific file:line references>

### <Area 2>

<Synthesized findings with specific file:line references>

...

## Code References

Key files and their purposes:

- `path/to/file.ts:123` - <description>
- `path/to/other.ts:45-67` - <description>

## Architecture Insights

<How components connect, data flow, key abstractions>

## Open Questions

- <Unresolved question 1>
- <Unresolved question 2>

Step 8: Report Completion

After writing, report:

  1. Location of research.md
  2. Summary of key findings (2-3 sentences)
  3. List of open questions

Output Requirements

  • Always produce research.md - even partial findings are valuable
  • Use file:line references - enable navigation: src/api/handler.ts:42
  • Document what exists - not what should exist
  • Note gaps - unclear items go to Open Questions

Example Decompositions

"How does authentication work?"

Investigation areas (spawn 5 researcher subagents):

  1. Auth middleware and guards
  2. Token/session management
  3. User model and storage
  4. Login/logout flows
  5. Permission checking

"Research the database layer"

Investigation areas (spawn 5 researcher subagents):

  1. ORM/query builder setup
  2. Schema definitions
  3. Migration system
  4. Connection management
  5. Query patterns

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

96.75%
按下载量换算819

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install test-research-delete 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。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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