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研究检索需要联网github未标认证来源可访问许可证需确认审计提醒

research-step研究步骤

Agent Skill

research-step 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

10,113

周安装

265

GitHub Stars

10

下载量

1,553
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-step(研究步骤)
来源仓库:https://github.com/allenai/asta-plugins
仓库路径:skills/research-step
安装命令:
npx skills add https://github.com/allenai/asta-plugins --skill 'research step'
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/allenai/asta-plugins --skill 'research step'

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景进行信息检索的研究类 Agent 工作流。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 建议确认权限范围和维护状态,注意可能触发联网或文件读写操作。
  • research-step 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Research Loop

Initialization

Look at the mission.md file in the current directory. This is the current research mission to perform reserach on.

If there is NOT a mission.md file, exit this skill with a message saying:

Otherwise, continue.

Setup

Look to see if there is a research_state.md file in the current directory.

If there is one, go to the Research step below (next heading).

If there is NOT one, then create it as follows:

Background: This file, research_state.md, is to be a LIVING RESEARCH document for keeping track of research progress for the research mission (mission.md), that you can use in collaboration with other researchers working with you. The idea is that both you and the other researchers can contribute to the document, use it for inspiration as next steps, and each update information in the documents as the research continues.

Action: Create a research_state.md file and write into it your own initial hypotheses and observations about the mission, to help get started. It is fine to leave sections blank until future research fills in the details. Where appropriate, include your rough confidence estimates (as a percentage) in the document. The document should help new researchers join the effort, and quickly learn about what we know and what we don't, and where in the research process the team is, and what tasks should be done next, so that they can easily see where to contribute.

To help plan your research, you will later have tools you can use including:

  • literature-report: for literature search
  • run-experiment: end-to-end autonomous experimentation
  • directly asking questions to a LLM
  • other tasks

Now, here is a suggested structure for the LIVING RESEARCH document research_state.md.

  1. Research Question & Scope
  2. Operational Definitions
  3. Related Work
  4. Hypotheses (H1, H2, H3,...)
  5. Experimental Designs
  6. Results Summary
  7. Open Questions & Confusions

Research

Finally, run a single iteration of the following research loop:

  1. Read the research_state.md file to understand the current research mission and current state
  2. Analyze what has been done and decide the next concrete TASK to perform
  3. Summarize relevant background knowledge / context that is needed to understand TASK and perform it correctly. Create a file background_knowledge.txt and write that summary into it. If background_knowledge.txt already exists, overwrite it.
  4. Select and invoke the most appropriate skill for that subtask. For example:

- To code up and run a software experiment, use the run-experiment skill (which invokes the Panda research tool). - To survey, summarize, or assess the literature, use the literature-report skill.

When that task has been completed:

  1. Make a backup copy of research_state.md to the "history/" folder: a. Look in the "history/" directory for backup copies of research_state.md, e.g., "research_state-bk1.md", "research_state-bk2.md". If the directory doesn't exist create it. b. Place a backup copy of research_state.md in the "history/" directory, called "research_state_bk.md" where N is the next unused number (1 if this is the first backup).
  2. UPDATE the main research_state.md with the results, so that the current state of research is up to date, including a correct summary of what has been done, what is still to do, and what has been learned. research_state.md should be ready then for the next iteration of the research.
  3. Append a short paragraph entry to the END of the file logbook.md summarizing what was done. (If logbook.md doesn't exist, create it). The entry should be of the form: "## Step: <paragraph> "

where is the next step number (start at 1), is a few words summarizing the step, should very briefly say what was done and what happened (e.g., a sentence or two for each of these.

End

Exit with the message "Iteration complete"

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

35.75%
按下载量换算555

Claude

30.69%
按下载量换算477

Cursor

17.36%
按下载量换算270

Gemini CLI

9.88%
按下载量换算153

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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